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Livoauth: Liveness Detection In Voiceprint Authentication With Random Challenges And Detection Modes, Rui Zhang, Zheng Yan, Xueru Wang, Robert H. Deng Jun 2023

Livoauth: Liveness Detection In Voiceprint Authentication With Random Challenges And Detection Modes, Rui Zhang, Zheng Yan, Xueru Wang, Robert H. Deng

Research Collection School Of Computing and Information Systems

Voiceprint authentication provides great convenience to users in many application scenarios. However, it easily suffers from spoofing attacks including speech synthesis, speech conversion, and speech replay. Liveness detection is an effective way to resist these attacks. But existing methods suffer from many disadvantages, such as extra deployment costs due to precise data collection, environmental disturbance, high computational overhead, and operational complexity. A uniform platform that can offer voiceprint authentication as a service (VAaS) over the cloud is also lacked. Hence, it is imperative to design an economic and effective method for liveness detection in voiceprint authentication. In this article, we …

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Venus: A Geometrical Representation For Quantum State Visualization, Shaolun Ruan, Ribo Yuan, Qiang Guan, Yanna Lin, Ying Mao, Weiwen Jiang, Zhepeng Wang, Wei Xu, Yong Wang Jun 2023

Venus: A Geometrical Representation For Quantum State Visualization, Shaolun Ruan, Ribo Yuan, Qiang Guan, Yanna Lin, Ying Mao, Weiwen Jiang, Zhepeng Wang, Wei Xu, Yong Wang

Research Collection School Of Computing and Information Systems

Visualizations have played a crucial role in helping quantum computing users explore quantum states in various quantum computing applications. Among them, Bloch Sphere is the widely-used visualization for showing quantum states, which leverages angles to represent quantum amplitudes. However, it cannot support the visualization of quantum entanglement and superposition, the two essential properties of quantum computing. To address this issue, we propose VENUS, a novel visualization for quantum state representation. By explicitly correlating 2D geometric shapes based on the math foundation of quantum computing characteristics, VENUS effectively represents quantum amplitudes of both the single qubit and two qubits for quantum …

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Efficient Privacy-Preserving Spatial Range Query Over Outsourced Encrypted Data, Yinbin Miao, Yutao Yang, Xinghua Li, Zhiquan Liu, Hongwei Li, Kim-Kwang Raymond Choo, Robert H. Deng Jun 2023

Efficient Privacy-Preserving Spatial Range Query Over Outsourced Encrypted Data, Yinbin Miao, Yutao Yang, Xinghua Li, Zhiquan Liu, Hongwei Li, Kim-Kwang Raymond Choo, Robert H. Deng

Research Collection School Of Computing and Information Systems

With the rapid development of Location-Based Services (LBS), a large number of LBS providers outsource spatial data to cloud servers to reduce their high computational and storage burdens, but meanwhile incur some security issues such as location privacy leakage. Thus, extensive privacy-preserving LBS schemes have been proposed. However, the existing solutions using Bloom filter do not take into account the redundant bits that do not map information in Bloom filter, resulting in high computational overheads, and reveal the inclusion relationship in Bloom filter. To solve these issues, we propose an efficient Privacy-preserving Spatial Range Query (PSRQ) scheme by skillfully combining …

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Lessons Learned From The Hospital To Home Community Care Program In Singapore And The Supporting Ai Multiple Readmissions Prediction Model, John Abisheganaden, Kheng Hock Lee, Lian Leng Low, Eugene Shum, Han Leong Goh, Christine Gia Lee Ang, Adny An Ta Wee, Steven M. Miller Jun 2023

Lessons Learned From The Hospital To Home Community Care Program In Singapore And The Supporting Ai Multiple Readmissions Prediction Model, John Abisheganaden, Kheng Hock Lee, Lian Leng Low, Eugene Shum, Han Leong Goh, Christine Gia Lee Ang, Adny An Ta Wee, Steven M. Miller

Research Collection School Of Computing and Information Systems

In a prior practice and policy article published in Healthcare Science, we introduced the deployed application of an artificial intelligence (AI) model to predict longer-term inpatient readmissions to guide community care interventions for patients with complex conditions in the context of Singapore's Hospital to Home (H2H) program that has been operating since 2017. In this follow on practice and policy article, we further elaborate on Singapore's H2H program and care model, and its supporting AI model for multiple readmission prediction, in the following ways: (1) by providing updates on the AI and supporting information systems, (2) by reporting on customer …

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International And Regional Courts And Tribunals, N. Jansen Calamita, Stefanie Schacherer, Facundo Perez-Aznar, Aikaterini Florou Jun 2023

International And Regional Courts And Tribunals, N. Jansen Calamita, Stefanie Schacherer, Facundo Perez-Aznar, Aikaterini Florou

Research Collection Yong Pung How School Of Law

The purpose of the present report is to provide an overview and analysis of the measures that States adopt internally to implement treaties establishing international court and tribunals and other international dispute settlement mechanisms (“IDSM treaties”). Although this report cannot be comprehensive in its survey of practices across all States, this analysis is intended to be useful in three ways. First, it can be useful with respect to the design and drafting of an instrument establishing a multilateral investment dispute settlement mechanism. Second, it can be useful for States when considering what types of implementing measures they may need to …

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Distpreserv: Maintaining User Distribution For Privacy-Preserving Location-Based Services, Yanbing Ren, Xinghua Li, Yinbin Miao, Robert H. Deng, Jian Weng, Siqi Ma, Jianfeng Ma Jun 2023

Distpreserv: Maintaining User Distribution For Privacy-Preserving Location-Based Services, Yanbing Ren, Xinghua Li, Yinbin Miao, Robert H. Deng, Jian Weng, Siqi Ma, Jianfeng Ma

Research Collection School Of Computing and Information Systems

Location-Based Services (LBSs) are one of the most frequently used mobile applications in the modern society. Geo-Indistinguishability (Geo-Ind) is a promising privacy protection model for LBSs since it can provide formal security guarantees for location privacy. However, Geo-Ind undermines the statistical location distribution of users on the LBS server because of perturbed locations, thereby disabling the server to provide distribution-based services (e.g., traffic congestion maps). To overcome this issue, we give a privacy definition, called DistPreserv, to enable the LBS server to acquire valid location distributions while providing users with strict location protection. Then we propose a privacy-preserving LBS scheme …

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Position-Guided Text Prompt For Vision-Language Pre-Training, Alex Jinpeng Wang, Pan Zhou, Mike Zheng Shou, Yan Shuicheng Jun 2023

Position-Guided Text Prompt For Vision-Language Pre-Training, Alex Jinpeng Wang, Pan Zhou, Mike Zheng Shou, Yan Shuicheng

Research Collection School Of Computing and Information Systems

Vision-Language Pre-Training (VLP) has shown promising capabilities to align image and text pairs, facilitating a broad variety of cross-modal learning tasks. However, we observe that VLP models often lack the visual grounding/localization capability which is critical for many downstream tasks such as visual reasoning. In this work, we propose a novel Position-guided Text Prompt (PTP) paradigm to enhance the visual grounding ability of cross-modal models trained with VLP. Specifically, in the VLP phase, PTP divides the image into N x N blocks, and identifies the objects in each block through the widely used object detector in VLP. It then reformulates …

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Multi-Head Attention Graph Convolutional Network Model: End-To-End Entity And Relation Joint Extraction Based On Multi-Head Attention Graph Convolutional Network, Zhihua Tao, Chunping Ouyang, Yongbin Liu, Tonglee Chung, Yixin Cao Jun 2023

Multi-Head Attention Graph Convolutional Network Model: End-To-End Entity And Relation Joint Extraction Based On Multi-Head Attention Graph Convolutional Network, Zhihua Tao, Chunping Ouyang, Yongbin Liu, Tonglee Chung, Yixin Cao

Research Collection School Of Computing and Information Systems

At present, the entity and relation joint extraction task has attracted more and more scholars' attention in the field of natural language processing (NLP). However, most of their methods rely on NLP tools to construct dependency trees to obtain sentence structure information. The adjacency matrix constructed by the dependency tree can convey syntactic information. Dependency trees obtained through NLP tools are too dependent on the tools and may not be very accurate in contextual semantic description. At the same time, a large amount of irrelevant information will cause redundancy. This paper presents a novel end-to-end entity and relation joint extraction …

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Proper Purposes And Directors' Duties: Time To Slay The Chimera?, Pearlie M. C. Koh Jun 2023

Proper Purposes And Directors' Duties: Time To Slay The Chimera?, Pearlie M. C. Koh

Research Collection Yong Pung How School Of Law

The statutory statement of directors' duties contained in the Companies Act 2006 imposes a duty on directors to ‘only exercise powers for the purposes for which they are conferred’. The duty has been equiparated with the equitable fraud on a power doctrine. This paper challenges the correctness of this approach, and argues that the unwarranted ‘merging’ of the duty and the doctrine has resulted in a legal chimera standing in the way of a proper understanding of the roles of each of the duty and the doctrine. It is submitted that this erroneous linking of two entirely different concepts is …

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Equity In Commerce: Too Much And Too Little?, Man Yip Jun 2023

Equity In Commerce: Too Much And Too Little?, Man Yip

Research Collection Yong Pung How School Of Law

The interaction and clash between equity and commerce have attracted much attention from judges and academics in recent years. Commercial lawyers may complain about equity introducing uncertainty into commercial endeavours and at times, (mis-)applying the ‘moral standards of the vicarage’ to actors in commercial dealings. However, the objections are not directed at all aspects of equity, but are usually addressed to some ‘disfavoured parts of it’, such as the creation of a new obligation or discretionary remedies. On the other hand, from the perspective of equity lawyers, equity’s interplay with commerce may lead to the contractualisation or commercialisation of equitable …

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Equity In Commerce: Too Much And Too Little?, Man Yip Jun 2023

Equity In Commerce: Too Much And Too Little?, Man Yip

Research Collection Yong Pung How School Of Law

The interaction and clash between equity and commerce have attracted much attention from judges and academics in recent years. Commercial lawyers may complain about equity introducing uncertainty into commercial endeavours and at times, (mis-)applying the ‘moral standards of the vicarage’ to actors in commercial dealings. However, the objections are not directed at all aspects of equity, but are usually addressed to some ‘disfavoured parts of it’, such as the creation of a new obligation or discretionary remedies. On the other hand, from the perspective of equity lawyers, equity’s interplay with commerce may lead to the contractualisation or commercialisation of equitable …

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Introduction To The Special Issue: Strengthening Australia–China Biodiversity Dialogue In A Changing World, Nengye Liu, Nengye Liu, Michelle Mei Ling Lim Jun 2023

Introduction To The Special Issue: Strengthening Australia–China Biodiversity Dialogue In A Changing World, Nengye Liu, Nengye Liu, Michelle Mei Ling Lim

Research Collection Yong Pung How School Of Law

The historic visit of Mr Gough WHITLAM, then Leader of the Opposition in the Australian Federal Parliament, to Beijing in 1971 led to the establishment of diplomatic relations between Australia and the People’s Republic China in 1972.* Fifty years on, China is now Australia’s largest two-way trading partner in goods and services. This accounts for 32.2 percent of Australia’s trade with the world.1 The Australian Department of Foreign Affairs and Trade (DFAT) highlights that two-way trade between Australia and China, totalling $267 billion, grew 6.3 per cent in 2020–21.2 This is despite the COVID-19 pandemic, border shutdowns and China’s trade-restrictive …

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Mindfully Outraged: Mindfulness Increases Deontic Retribution For Third-Party Injustice, Adam A. Kay, Theodore Charles Masters-Waage, Jochen Reb, Pavlos A. Vlachos Jun 2023

Mindfully Outraged: Mindfulness Increases Deontic Retribution For Third-Party Injustice, Adam A. Kay, Theodore Charles Masters-Waage, Jochen Reb, Pavlos A. Vlachos

Research Collection Lee Kong Chian School Of Business

Mindfulness is known to temper negative reactions by both victims and perpetrators of injustice. Accordingly, critics claim that mindfulness numbs people to injustice, raising concerns about its moral implications. Exam-ining how mindful observers respond to third-party injustice, we integrate mindfulness with deontic justice theory to propose that mindfulness does not numb but rather enlivens people to injustice committed by others against others. Results from three studies show that mindfulness heightens moral outrage in witnesses of injustice, particularly when the injustice is only moderate. Although these findings did not replicate with a mindfulness induction, post-hoc analysis in a fourth study reveals …

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Asset-Rich And Cash-Poor: Which Older Adults Value Reverse Mortgages?, Joelle H. Fong, Olivia S. Mitchell, Benedict S. K. Koh May 2023

Asset-Rich And Cash-Poor: Which Older Adults Value Reverse Mortgages?, Joelle H. Fong, Olivia S. Mitchell, Benedict S. K. Koh

Research Collection Lee Kong Chian School Of Business

Home equity represents a substantial share of retirement wealth for many older persons, particularly in Asia where national housing policies have encouraged home-ownership. This paper explored the potential for reverse mortgages to help 'asset-rich and cash-poor' older Singaporeans unlock their home equity while ageing in place. The empirical analysis was based on a nationally representative survey of home-owners age 50+ in the 2018 Singapore Life Panel (N = 6,258). Our analyses showed that the average older home-owner holds some 60 per cent of total net wealth in housing equity, suggestive of high demand potential for reverse mortgage products. Nevertheless, actual …

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The Persuasive Design Of Ai-Synthesized Voices, Hannah H. Chang, Anirban Mukherjee May 2023

The Persuasive Design Of Ai-Synthesized Voices, Hannah H. Chang, Anirban Mukherjee

Research Collection Lee Kong Chian School Of Business

We investigate the impact of AI-based, machine-synthesized narrating voices on consumer cognitions and behavior in media-rich environment. Across four studies (plus pretests), we show that the design of AI voices systematically and predictably affects consumer cognition and behavior. Specifically, the designs of AI voices have differential effects in early versus later stages of consumer purchase journey. In situations where the consumers’ attention is already directed to the message, we find that marcomm with more AI voices generates a smaller proportion of favorable thoughts, which leads to a lower purchase likelihood. These results support our conceptualization that hearing more AI voices …

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Semparser: A Semantic Parser For Log Analytics, Yintong Huo, Yuxin Su, Cheryl Lee, R. Michael Lyu May 2023

Semparser: A Semantic Parser For Log Analytics, Yintong Huo, Yuxin Su, Cheryl Lee, R. Michael Lyu

Research Collection School Of Computing and Information Systems

Logs, being run-time information automatically generated by software, record system events and activities with their timestamps. Before obtaining more insights into the run-time status of the software, a fundamental step of log analysis, called log parsing, is employed to extract structured templates and parameters from the semi-structured raw log messages. However, current log parsers are all syntax-based and regard each message as a character string, ignoring the semantic information included in parameters and templates.Thus, we propose the first semantic-based parser SemParser to unlock the critical bottleneck of mining semantics from log messages. It contains two steps, an end-to-end semantics miner …

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Connecting The Dots For Contextual Information Retrieval, Pei-Chi Lo May 2023

Connecting The Dots For Contextual Information Retrieval, Pei-Chi Lo

Dissertations and Theses Collection (Open Access)

There are many information retrieval tasks that depend on knowledge graphs to return contextually relevant result of the query. We call them Knowledgeenriched Contextual Information Retrieval (KCIR) tasks and these tasks come in many different forms including query-based document retrieval, query answering and others. These KCIR tasks often require the input query to contextualized by additional facts from a knowledge graph, and using the context representation to perform document or knowledge graph retrieval and prediction. In this dissertation, we present a meta-framework that identifies Contextual Representation Learning (CRL) and Contextual Information Retrieval (CIR) to be the two key components in …

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Neural Episodic Control With State Abstraction, Zhuo Li, Derui Zhu, Yujing Hu, Xiaofei Xie, Lei Ma, Yan Zheng, Yan Song, Yingfeng Chen, Jianjun Zhao May 2023

Neural Episodic Control With State Abstraction, Zhuo Li, Derui Zhu, Yujing Hu, Xiaofei Xie, Lei Ma, Yan Zheng, Yan Song, Yingfeng Chen, Jianjun Zhao

Research Collection School Of Computing and Information Systems

Existing Deep Reinforcement Learning (DRL) algorithms suffer from sample inefficiency.Generally, episodic control-based approaches are solutions that leveragehighly-rewarded past experiences to improve sample efficiency of DRL algorithms.However, previous episodic control-based approaches fail to utilize the latentinformation from the historical behaviors (e.g., state transitions, topological similarities,etc.) and lack scalability during DRL training. This work introducesNeural Episodic Control with State Abstraction (NECSA), a simple but effectivestate abstraction-based episodic control containing a more comprehensive episodicmemory, a novel state evaluation, and a multi-step state analysis. We evaluate ourapproach to the MuJoCo and Atari tasks in OpenAI gym domains. The experimentalresults indicate that NECSA achieves higher …

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Multi-Lingual Multi-Partite Product Title Matching, Huan Lin Tay, Wei Jie Tay, Hady Wirawan Lauw May 2023

Multi-Lingual Multi-Partite Product Title Matching, Huan Lin Tay, Wei Jie Tay, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

In a globalized marketplace, one could access products or services from almost anywhere. However, resolving which product in one language corresponds to another product in a different language remains an under-explored problem. We explore this from two perspectives. First, given two products of different languages, how to assess their similarity that could signal a potential match. Second, given products from various languages, how to arrive at a multi-partite clustering that respects cardinality constraints efficiently. We describe algorithms for each perspective and integrate them into a promising solution validated on real-world datasets.

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Exploring A Gradient-Based Explainable Ai Technique For Time-Series Data: A Case Study Of Assessing Stroke Rehabilitation Exercises, Min Hun Lee, Yi Jing Choy May 2023

Exploring A Gradient-Based Explainable Ai Technique For Time-Series Data: A Case Study Of Assessing Stroke Rehabilitation Exercises, Min Hun Lee, Yi Jing Choy

Research Collection School Of Computing and Information Systems

Explainable artificial intelligence (AI) techniques are increasingly being explored to provide insights into why AI and machine learning (ML) models provide a certain outcome in various applications. However, there has been limited exploration of explainable AI techniques on time-series data, especially in the healthcare context. In this paper, we describe a threshold-based method that utilizes a weakly supervised model and a gradient-based explainable AI technique (i.e. saliency map) and explore its feasibility to identify salient frames of time-series data. Using the dataset from 15 post-stroke survivors performing three upper-limb exercises and labels on whether a compensatory motion is observed or …

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Boosting Just-In-Time Defect Prediction With Specific Features Of C/C++ Programming Languages In Code Changes, Chao Ni, Xiaodan Xu, Kaiwen Yang, David Lo May 2023

Boosting Just-In-Time Defect Prediction With Specific Features Of C/C++ Programming Languages In Code Changes, Chao Ni, Xiaodan Xu, Kaiwen Yang, David Lo

Research Collection School Of Computing and Information Systems

Just-in-time (JIT) defect prediction can identify changes as defect-inducing ones or clean ones and many approaches are proposed based on several programming language-independent change-level features. However, different programming languages have different characteristics and consequently may affect the quality of software projects. Meanwhile, the C programming language, one of the most popular ones, is widely used to develop foundation applications (i.e., operating system, database, compiler, etc.) in IT companies and its change-level characteristics on project quality have not been fully investigated. Additionally, whether open-source C projects have similar important features to commercial projects has not been studied much.To address the aforementioned …

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Does Watching Videos With Natural Scenery Restore Attentional Resources? A Critical Examination Through A Pre-Registered Within-Subject Experiment, Andree Hartanto, Nicole Lee Anne Teo, Verity Y. Q. Lua, Keith Tay, Nicole R. Y. Chen, Nadyanna M. Majeed May 2023

Does Watching Videos With Natural Scenery Restore Attentional Resources? A Critical Examination Through A Pre-Registered Within-Subject Experiment, Andree Hartanto, Nicole Lee Anne Teo, Verity Y. Q. Lua, Keith Tay, Nicole R. Y. Chen, Nadyanna M. Majeed

Research Collection School of Social Sciences

Existing studies have shown that direct exposure to a real nature environment has a restorative effect on attentional resources after a mentally fatiguing task. However, it remains unclear whether virtual nature simulations can serve as a substitute for real nature experienced in the outdoors to restore executive attention. Given the mixed findings in the literature, the present study sought to examine if viewing videos with natural scenery (vs. a control with urban scenery) restores participants’ working memory capacity – measured by an operation span task – in a high-powered pre-registered within-subject experimental study. Overall, our within-subject experiment did not find …

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Moving Towards Principles-Based Accounting Standards: The Impact Of The New Revenue Standard On The Quality Of Accrual Accounting, He, Huiyu May 2023

Moving Towards Principles-Based Accounting Standards: The Impact Of The New Revenue Standard On The Quality Of Accrual Accounting, He, Huiyu

Dissertations and Theses Collection (Open Access)

The new revenue standard (ASU 2014-09, codified in ASC 606 and ASC 340-40) establishes a comprehensive framework on accounting for contracts with customers and replaces most existing revenue recognition rules. The new guidance removes the inconsistencies and weaknesses of legacy guidance, while is more principles-based and requires more managerial judgements. Using as-reported data from structured filings to construct aggregate accruals that are potentially affected by the new revenue standard (i.e., sales-related accruals), I find that the new revenue standard increases the quality of sales-related accruals, as measured by future cash flow predictability. The increased cash flow predictability comes not only …

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Awe And Relationship Quality, Gloria Junyan Lai May 2023

Awe And Relationship Quality, Gloria Junyan Lai

Dissertations and Theses Collection (Open Access)

The experience of awe has been studied as having self-transcending outcomes that produce a decrease in importance of the individual’s interests and an increase in the interests of others. This shift in self-concept is said to be a sense of self-diminishment vis-à-vis perceived vast stimuli. When applied to a romantic relationship context, it is possible that a shift of attention away from self-serving motives, towards relationship-enhancing motives, may promote positive relationship outcomes. As such, the current study examined how experimentally induced awe may influence relationship commitment and forgiveness via an expected increase in self-diminishment. 607 participants were randomly assigned to …

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Document Graph Representation Learning, Ce Zhang May 2023

Document Graph Representation Learning, Ce Zhang

Dissertations and Theses Collection (Open Access)

Much of the data on the Web can be represented in a graph structure, ranging from social and biological to academic and Web page graphs, etc. Graph analysis recently attracts escalating research attention due to its importance and wide applicability. Diverse problems could be formulated as graph tasks, such as text classification and information retrieval. As the primary information is the inherent structure of the graph itself, one promising direction known as the graph representation learning problem is to learn the representation of each node, which could in turn fuel tasks such as node classification, node clustering, and link prediction. …

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Essays On Large Panel Data Models With Two-Way Heterogeneity, Yiren Wang May 2023

Essays On Large Panel Data Models With Two-Way Heterogeneity, Yiren Wang

Dissertations and Theses Collection (Open Access)

This dissertation consists of two papers that contribute to the estimation and inference theory of the panel data models with two-way slope heterogeneity. The first paper considers the panel quantile regression model with slope heterogeneity along both individuals and time. By modelling this two-way heterogeneity with the low-rank slope matrix, the slope coefficient can be estimated via the nuclear norm regularization followed by sample-splitting, row- and column-wise quantile regression, and debiasing. The inferential theory for the final slope estimator along with its factor and factor loading is derived. Two specification tests are proposed: one tests whether the slope coefficient is …

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Widget Detection-Based Testing For Industrial Mobile Games, Xiongfei Wu, Jiaming Ye, Ke Chen, Xiaofei Xie, Ruochen Huang, Lei Ma, Jianjun Zhao May 2023

Widget Detection-Based Testing For Industrial Mobile Games, Xiongfei Wu, Jiaming Ye, Ke Chen, Xiaofei Xie, Ruochen Huang, Lei Ma, Jianjun Zhao

Research Collection School Of Computing and Information Systems

The fast advances in mobile hardware and widespread smartphone usage have fueled the growth of global mobile gaming in the past decade. As a result, the need for quality assurance of mobile gaming has become increasingly pressing. While general-purpose testing methods have been developed for mobile applications, they become struggling when being applied to mobile games due to the unique characteristics of mobile games, such as dynamic loading and stunning visual effects. There comes a growing industrial demand for automated testing techniques with high compatibility (compatible with various resolutions, and platforms) and non-intrusive characteristics (without packaging external modules into the …

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Automating Arduino Programming: From Hardware Setups To Sample Source Code Generation, Imam Nur Bani Yusuf, Diyanah Binte Abdul Jamal, Lingxiao Jiang May 2023

Automating Arduino Programming: From Hardware Setups To Sample Source Code Generation, Imam Nur Bani Yusuf, Diyanah Binte Abdul Jamal, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

An embedded system is a system consisting of software code, controller hardware, and I/O (Input/Output) hardware that performs a specific task. Developing an embedded system presents several challenges. First, the development often involves configuring hardware that requires domain-specific knowledge. Second, the library for the hardware may have API usage patterns that must be followed. To overcome such challenges, we propose a framework called ArduinoProg towards the automatic generation of Arduino applications. ArduinoProg takes a natural language query as input and outputs the configuration and API usage pattern for the hardware described in the query. Motivated by our findings on the …

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Mando-Hgt: Heterogeneous Graph Transformers For Smart Contract Vulnerability Detection, Huu Hoang Nguyen, Nhat Minh Nguyen, Chunyao Xie, Zahra Ahmadi, Daniel Kudendo, Thanh-Nam Doan, Lingxiao Jiang May 2023

Mando-Hgt: Heterogeneous Graph Transformers For Smart Contract Vulnerability Detection, Huu Hoang Nguyen, Nhat Minh Nguyen, Chunyao Xie, Zahra Ahmadi, Daniel Kudendo, Thanh-Nam Doan, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

Smart contracts in blockchains have been increasingly used for high-value business applications. It is essential to check smart contracts' reliability before and after deployment. Although various program analysis and deep learning techniques have been proposed to detect vulnerabilities in either Ethereum smart contract source code or bytecode, their detection accuracy and scalability are still limited. This paper presents a novel framework named MANDO-HGT for detecting smart contract vulnerabilities. Given Ethereum smart contracts, either in source code or bytecode form, and vulnerable or clean, MANDO-HGT custom-builds heterogeneous contract graphs (HCGs) to represent control-flow and/or function-call information of the code. It then …

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Chronos: Time-Aware Zero-Shot Identification Of Libraries From Vulnerability Reports, Yunbo Lyu, Thanh Le Cong, Hong Jin Kang, Ratnadira Widyasari, Zhipeng Zhao, Xuan-Bach Dinh Le, Ming Li, David Lo May 2023

Chronos: Time-Aware Zero-Shot Identification Of Libraries From Vulnerability Reports, Yunbo Lyu, Thanh Le Cong, Hong Jin Kang, Ratnadira Widyasari, Zhipeng Zhao, Xuan-Bach Dinh Le, Ming Li, David Lo

Research Collection School Of Computing and Information Systems

Tools that alert developers about library vulnerabilities depend on accurate, up-to-date vulnerability databases which are maintained by security researchers. These databases record the libraries related to each vulnerability. However, the vulnerability reports may not explicitly list every library and human analysis is required to determine all the relevant libraries. Human analysis may be slow and expensive, which motivates the need for automated approaches. Researchers and practitioners have proposed to automatically identify libraries from vulnerability reports using extreme multi-label learning (XML). While state-of-the-art XML techniques showed promising performance, their experimental settings do not practically fit what happens in reality. Previous studies …

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