Digital Commons Network^™

Political Ecologies Of Storage For The 21st Century, Sayd Randle, Matthew Archer

Research Collection College of Integrative Studies

New resource storage arrangements are proliferating rapidly both in terms of physical infrastructures-for the storage of things like "clean" energy, nuclear waste, carbon dioxide, fresh water, and data-and as part of a set of discursive moves that reinforce a vision of a near future world in which problems of climate change mitigation and adaptation in particular (but also issues like energy security, water security, industry growth, etc.) are solved through eco-modernist techno-fixes. This Symposium sketches the contours of a framework we term political ecologies of storage. In doing so, we treat storage as both a potent imaginary and a concrete …

The Miseducation Of Model Minorities: The Gospel Of ‘Schoolvation’ And The Myth Of The Schooled Society, Justin Kh Tse

Research Collection College of Integrative Studies

The ‘model minority’, the phenomenon of some ‘minority’ communities (or some members within them) achieving social and economic advancement despite encountering the difficulties of assimilating into a mainstream society, is often described as a myth, especially as one of the central problematics in Asian American studies. Usually, the modern use of the word myth is pejorative: the model minority in this sense refers to a false empirical description of some minorities and should be quantitatively disaggregated and qualitatively debunked. In this article, I want to explore the model minority as another kind of myth, in the classical sense of mythos, …

A New City For A New Era: Xiong'an As Showcase Of China's Evolving Urban Ideology, Andrew Stokols

Research Collection College of Integrative Studies

Cities have long been expressions of political ideology in China and elsewhere. During China’s rapid urbanization over the past few decades, “new areas” became popular strategies to promote urban growth, following the success of Shenzhen, widely regarded as China’s first special economic zone. Today under Xi, Xiong’an New Area has become the latest “new area of national significance.” But unlike previous new areas in China, Xiong’an has become wedded to a distinct vision of the urban in Xi Jinping’s China, one in which the excesses of reform-era urbanization are controlled through new forms of affordable housing and finance, new ecological …

Investigating The Thixotropy Of Fresh Struvite Cement-Based Composite: Insights On Mechanisms Of The Pastes’ Thixotropic Behavior, Ugochukwu Ewuzie, Abdulkareem O. Yusuf, Damilola Daramola, Monday Uchenna Okoronkwo

Chemical and Biochemical Engineering Faculty Research & Creative Works

Struvite (ST) recovered during wastewater treatment has been sparsely applied in cement-based composites. This study systematically evaluated the thixotropic behavior of cement-struvite (CST) pastes, a mix of 5–20 % ST by mass of cement, and proposed the interaction mechanisms leading to the pastes' thixotropy. The hysteresis loop area was used to establish the pastes' thixotropy and investigate its relationship with increased ST content, temperature, and yield stress. In the thixotropic behavior model used, the equilibrium shear stress was employed to examine the CST pastes' irreversible change; the characteristic time of deflocculation was used to study the flocs destruction process; and …

Gallium-Containing Bioactive Glasses: Their Influence On Ion Release And The Bioactivity Of Resulting Glass Polyalkenoate Cements, Lana Margaret Placek, Danielle Lee Perry, Mark Robert Towler, Anthony William Wren

Chemical and Biochemical Engineering Faculty Research & Creative Works

A series of glasses (0.48SiO2 − [0.40-x]ZnO − 0.12CaO-xGa2O3, x = 0, 0.8, 0.16) was developed to formulate a series of Ga-containing glass polyalkenoate cements (GPCs). The solubility of GPCs was tested using DI water, and it was found that the sample containing the highest mol% of Ga, LGa-2, had the most Ga ion release. The GPCs were incubated in SBF, and SEM/EDS analysis revealed that the at% of P increased, while the at% of Si decreased, highlighting the CaP precipitation on the GPC surface. The at% of Ga also decreased, reinforcing the Ga release from the GPC. Cellular testing …

An Incentive Mechanism For Privacy Preserved Data Trading With Verifiable Data Disturbance, Man Zhang, Xinghua Li, Bin Luo, Yanbing Ren, Yinbin Miao, Ximeng Liu, Robert H. Deng

Research Collection School Of Computing and Information Systems

To motivate data owners’ (DOs’) trading willingness, the existing incentive mechanisms allow DOs to independently disturb data following data consumer's (DC’s) availability requirement. However, they cannot motivate DOs’ honest disturbance, which is attributed to DOs’ independent disturbance without any supervision. Thus, we implement an incentive mechanism for privacy preserved data trading with verifiable data disturbance where an honest-but-curious disturbance generator (DG) is additionally introduced to supervise DOs’ local disturbance and assist disturbance verification between DOs and DC. Specifically, DG generates the disturbance strategies and secretly distributes to DOs following private information retrieval, guaranteeing DOs's local disturbance's privacy and verifiability with …

Volumetric And Diffusion Tensor Imaging Abnormalities Are Associated With Behavioral Changes Post-Concussion In A Youth Pig Model Of Mild Traumatic Brain Injury., Sanjida Islam, Alesa Netzley, Chenyang Li, Jiangyang Zhang, Bianca Dávila-Montero, Ana Vazquez, Shaun Subbaiah, Avner Moeded, Kirk Munoz, Aimee Colbath, Jie Huang, Ricardo Mejia-Alvarez, Jane Manfredi, Galit Pelled

Manuscripts, Articles, Book Chapters and Other Papers

Mild traumatic brain injury (mTBI) caused by sports-related incidents in children and youth often leads to prolonged cognitive impairments but remains difficult to diagnose. In order to identify clinically relevant imaging and behavioral biomarkers associated concussion, a closed-head mTBI was induced in adolescent pigs. Twelve (n = 4 male and n = 8 female), 16-week old Yucatan pigs were tested; n = 6 received mTBI and n = 6 received a sham procedure. T1-weighted imaging was used to assess volumetric alterations in different regions of the brain and diffusion tensor imaging (DTI) to examine microstructural damage in white matter. The …

Characterizing Long Covid Symptoms During Early Childhood., Rachel S. Gross, Tanayott Thaweethai, Amy L. Salisbury, Lawrence C. Kleinman, Sindhu Mohandas, Kyung E. Rhee, Jessica N. Snowden, Kelan G. Tantisira, David Warburton, John C. Wood, Patricia A. Kinser, Joshua D. Milner, Erika B. Rosenzweig, Katherine Irby, Valerie J. Flaherman, Elizabeth W. Karlson, Lori B. Chibnik, Deepti B. Pant, Aparna Krishnamoorthy, Richard Gallagher, Michelle F. Lamendola-Essel, Denise C. Hasson, Stuart D. Katz, Shonna Yin, Benard P. Dreyer, Frank Blancero, Megan Carmilani, K Coombs, Megan L. Fitzgerald, Rebecca J. Letts, Aimee K. Peddie, Judy L. Aschner, Andrew M. Atz, Dithi Banerjee, Amanda Bogie, Hulya Bukulmez, Katharine Clouser, Lesley A. Cottrell, Kelly Cowan, Viren A. D'Sa, Allen Dozor, Amy J. Elliott, E Vincent S. Faustino, Alexander G. Fiks, Sunanda Gaur, Maria L. Gennaro, Stewart Gordon, Uzma N. Hasan, Christina M. Hester, Alexander Hogan, Daniel S. Hsia, David C. Kaelber, Jessica S. Kosut, Sankaran Krishnan, Russell J. Mcculloh, Ian C. Michelow, Sheila M. Nolan, Carlos R. Oliveira, Lynn M. Olson, Wilson D. Pace, Paul Palumbo, Hengameh Raissy, Andy Reyes, Judith L. Ross, Juan C. Salazar, Rangaraj Selvarangan, Cheryl R. Stein, Michelle D. Stevenson, Ronald J. Teufel, Alan Werzberger, John M. Westfall, Kathleen Zani, William T. Zempsky, Emily Zimmerman, Marie-Abele C. Bind, James Chan, Zoe Guan, Richard E. Morse, Harrison T. Reeder, Torri D. Metz, Jane W. Newburger, Dongngan T. Truong, Andrea S. Foulkes, Melissa S. Stockwell, Recover-Pediatrics Consortium, Recover-Pediatrics Group Authors

Manuscripts, Articles, Book Chapters and Other Papers

IMPORTANCE: Recent studies have identified characteristic symptom patterns of long COVID (LC) in adults and children older than 5 years. However, LC remains poorly characterized in early childhood. This knowledge gap limits efforts to identify, care for, and prevent LC in this vulnerable population.

OBJECTIVES: To identify symptoms that had the greatest difference in frequency comparing children with a history of SARS-CoV-2 infection to those without, to identify differences in the types of symptoms by age group (infants/toddlers [0-2 years] vs preschool-aged children [3-5 years]), and to derive an index that can be used in research studies to identify young …

Advances In Noninvasive Imaging For Detecting Radiation-Induced Lung Injury (Rili), Austen Nissen, Said H. Audi, Anne V. Clough, Brian Fish, Amit Joshi, Meetha Medhora, Jason Walter Sidabras, Heather A. Himburg

Biomedical Engineering Faculty Research and Publications

Purpose: Dr. Richard Hill performed pioneering work in the field of radiation-induced normal tissue injury to the lung including noninvasive imaging studies aimed at identifying imaging biomarkers of radiation-induced lung injury (RILI). RILI is a life-threatening toxicity of radiation exposure relevant to both cancer patients undergoing thoracic radiation therapy (RT) and victims of accidental radiation exposure. The ability to detect RILI noninvasively has the potential to guide treatment planning for RT and, in the case of victims of acute radiation exposures, inform the decision to start mitigative therapies. As part of this special issue of IJRB honoring Dr. Hill’s many …

Designing A Portable And Accessible Diffuse Reflectance Spectroscopy System For Real-Time Detection Of Cervical Intraepithelial Neoplasia, Allison Scarbrough, Diana Moses, Tongtong Lu, Bing Yu

Biomedical Engineering Faculty Research and Publications

Significance: Over 80% of cervical cancer cases occur in lower-to-middle income countries (LMIC’s). This is partly because current screening techniques lack affordability, accessibility, and/or reliability for use in LMIC’s.

Aim: To develop an optical technique for cervical cancer screening that is affordable, accessible, and reliable for use in LMIC’s.

Approach: We developed a portable diffuse reflectance spectroscopy (DRS) system, which costs < $2500 USD to manufacture, and employs a Raspberry Pi to extract the absorption (μ_a) and reduced scattering (μ'_s) coefficients of biological tissue. The system was subject to travel and intentional rough handling. It was further used to capture 320 DRS spectra taken from 64 tissue-mimicking phantoms. Two …

Nasa Design And Analysis Of Pegda Hydrogels For Microgreen Cultivation In Space, Kelly Wu, Gabriel Antigua, Artur Abramyan

Publications and Research

With the growth of the space economy worldwide, sustainable and soil-less food systems for long-duration space missions become increasingly important. In this study, Polyethylene Glycol Diacrylate (PEGDA) hydrogels were experimented with as a biocompatible medium in arugula microgreen growth without utilizing soil. Among the most considerable challenges was the fact that the plants' root growth exceeded the hydrogel capacity, which caused seedling dislodgment and starvation. To combat this, computer-aided design (CAD) was utilized to 3D print different mold designs to try and control root development further. The most promising of these designs were coil and tree-branch molds, promoting lateral or …

Full-Stack Web Applications: Infrastructure, Development Pipelines & Devsecops, Yassine Chahid, Patrick Slattery

Publications and Research

This research explores emerging development methodologies and technologies which facilitate the deployment and maintenance of software applications. It evaluates architectural styles for the development of software such as monolithic (legacy) and microservice models, with a focus on their key differences such as scalability or project structure through to the development of an application. By examining methodologies such as Agile and continuous integration/continuous development pipelines along with the deployment tools Docker and Git for version/release control, the study analyzes how these innovations speed up development, improve existing practices, and serve as the foundation for development operations. Cloud solutions for tasks such …

Cross-Cultural Data On Romantic Love And Mate Preferences From 117,293 Participants Across 175 Countries, Marta Kowal, Piotr Sorokowski, Biljana Gjoneska, Katarzyna Pisanski, Gerit Pfuhl, Leonardo Aguilar, Steve M.J. Janssen, Benjamin Gelbart, Patrícia Arriaga, Jan Antfolk, Katarina Zvončáková, Linda H. Lidborg, Jorge Contreras-Garduño, Mikhail V. Kozlov, Taciano L. Milfont, Marco A.C. Varella, Valerija Križanić, Mahmoud Boussena, Tina Kavčič, Diana Ribeiro Da Silva, Brahim Hamdaoui, Fatima Zahra Sahli, Karlijn Massar, Eliane Deschrijver, Tatsunori Ishii, Hakan Cetinkaya, Oksana Senyk, Farida Guemaz, Koen Ponnet, Yahya Don, Dušana Šakan, Gyesook Yoo, Ravit Nussinson, Joaquín Ungaretti, Ali R. Can, Izzet Duyar, Jiří Čeněk, Joao Carneiro, Norbert Meskó, Luca Kozma, Ellen K. Nyhus, Mona Vintila, Oulmann Zerhouni, Farid Pazhoohi, Maja Zupančič, Sinem Söylemez, Austin H.-E. Wang, Marietta Papadatou-Pastou, Irena Pavela Banai, Pavol Prokop, Mohd Sofian Omar Fauzee, Reza Afhami, Jean C. Natividade, Roberto Baiocco, Mara Morelli, Toivo Aavik, Ezgi Toplu-Demirtaş, Singha Tulyakul, Anna Wlodarczyk, Razleh Chegeni, Anabela C. Santos, Dmitry Grigoryev, Dmitrii Dubrov, Dimitri Chubinidze, Gözde Ikizer, Nana Burduli, Johanna Czamanski-Cohen, Rizwana Amin, Petros Roussos, Evgeniya Hristova, Rūta Sargautytė, Ekaterine Pirtskhalava, Tenuunjargal Avirmed, Arooj Najmussaqib, Abdelilah Charyate, Shagufta Batool, Tatiana Volkodav, Yoshihiko Kunisato, Yuki Yamada, Asako Toyama, Mariia Perun, Seda Dural, Tetyana Mandzyk, Anna Studzinska, Ognen Spasovski, Felipe E. García, Caterina Grano, Merve Boğa, Mehmet Koyuncu, Sangeeta Singh, Ju Hee Park, Derya Atamtürk, Samuel Lins, Martin Pírko, David Lacko, Balazs Aczel, Ferenc Kocsor, Ádám Putz, Tobias Otterbring, Pavol Kačmár, Efisio Manunta, Théo Besson, Nasim Ghahraman Moharrampour, Çağlar Solak, Ignacio Estevan, Merve Topcu Bulut, Nicolas Kervyn, Moises Mebarak, Jackson G. Lu, Nejc Plohl, Bojan Musil, Adil Samekin, Kirill G. Miroshnik, Clément Cornec, Isabella Giammusso, Ulf-Dietrich Reips, Maria Rosa Miccoli, Miriam Parise, Sabrina Stöckli, Tiago Marot, Sibele D. Aquino, Amanda Londero-Santos, Antonio Chirumbolo, Aybegum Memisoglu-Sanli, Jaroslava V. Valentova, Cemre Karaarslan, Ivana Hromatko, Kevin S. Kertechian, Ogeday Çoker, Matheus F. F. Ribeiro, Carlota Batres, Ilker Dalgar, Stephanie J. Eder, Katarina Mišetić, Marios Argyrides, Vita Mikuličiūtė, Silvia Mari, Elisabeth Oberzaucher, Kathrin Masuch, Alan D. A. Mattiassi, Salma Samir Omar, Elena Piccinelli, Eda Ermagan Caglar, Diogo Lamela, David A. Frederick, Aleksander Kobylarek, Ma. Criselda T. Pacquing, Marc Eric Santos Reyes, Marcos Zumárraga-Espinosa, Feten Fekih-Romdhane, Talía Gómez Yepes, Edgardo Etchezahar, Katarzyna Galasinska, Jan P. Röer, Ayşegül Şahin, Miguel Landa-Blanco, Arkadiusz Urbanek, Chee-Seng Tan, Rita Castro, Ksenija Cunichina, Anna Krasnodębska, Daniel Conroy-Beam, Franciszek Ostaszewski, Izabela Chałatkiewicz, Beatriz Abad-Villaverde, Bastien Trémolière, Alexios Arvanitis, Gulmira Topanova, Wiliam J. Chopik, Grace Akello, Ariela F. Pagani, Silvia Donato, Peter Fedor, Tomasz Frackowiak, Simon Ozer, Marlon Mayorga-Lascano, Farah Khan, Maryanne L. Fisher, Princess Lovella G. Maturan, Tatiana Semenovskikh, Sanjana Dutt, William Tamayo-Agudelo, Gulnara Ismukhanova, Laith Al-Shawaf, Luisa Angelucci, Adam Bode, Sercan Balım, Jovi C. Dacanay, Chiemezie S. Atama, Kai A. D. Morgan Campbell, Tchilissila A. Simões, Barış Özener, Paula Błauciak, Filipe Prazeres

Psychology Faculty Articles and Research

Psychological studies on close relationships have often overlooked cultural diversity, dynamic processes, and potentially universal principles that shape intimate partnerships. To address the limited generalizability of previous research and advance our understanding of romantic love experiences, mate preferences, and physical attractiveness, we conducted a large-scale cross-cultural survey study on these topics. A total of 404 researchers collected data in 45 languages from April to August 2021, involving 117,293 participants from 175 countries. Aside from standard demographic questions, the survey included valuable information on variables relevant to romantic relationships: intimate, passionate, and committed love within romantic relationships, physical-attractiveness enhancing behaviors, gender …

The College, Saint Mary's College Of California

Academic Catalog

No abstract provided.

Undergraduate Curriculum, Saint Mary's College Of California

Academic Catalog

No abstract provided.

2025-2026 Academic Catalog, Saint Mary's College Of California

Academic Catalog

No abstract provided.

The Discontinuous Petrov–Galerkin Method, Leszek Demkowicz, Jay Gopalakrishnan

Mathematics and Statistics Faculty Publications and Presentations

The discontinuous Petrov–Galerkin (DPG) method is a Petrov–Galerkin finite element method with test functions designed for obtaining stability. These test functions are computable locally, element by element, and are motivated by optimal test functions which attain the supremum in an inf-sup condition. A profound consequence of the use of nearly optimal test functions is that the DPG method can inherit the stability of the (undiscretized) variational formulation, be it coercive or not. This paper combines a presentation of the fundamentals of the DPG ideas with a review of the ongoing research on theory and applications of the DPG methodology. The …

Afit Librarian Newsletter : Check It Out (Third Quarter 2025), D'Azzo Research Library, Air Force Institute Of Technology

AFIT Library Knowledge Base

In this issue:

• Interview with a Featured Library Advocate, Dr. Michael Miller, ENV.
• 25th Anniversary of the joint library operations with AFRL

The Formation Mechanism Of Irrational Online Comments From The Perspective Of Dual Systems Theory, Xuefen Wang, Lei Guo, Liyan Chang, Zejiao Jiang

Journal of Scientific Information Research

[Purpose/significance] To explore the internal formation mechanism of unplanned irrational online comments is of great significance to promote the governance of cyberspace and the control of user behavior.

[Method/process] Based on the dual-system theory, the study constructed a model for the formation mechanism of irrational online comments, and revealed how online disinhibition and the spiral of silence affect individual internal states to stimulate irrational comments through empirical analysis.

[Result/conclusion] Research reveals that: compared to mild irrational comments, aggressive irrational comments are more likely to be unplanned behaviors, the cognitive-emotional preoccupation with online comments is the main driving factor for irrational …

Research On Technology Opportunity Identification By Integrating Technology Attribute Analysis And Competitive Environment Scanning —— A Case Study Of Industrial Robots, Daobin Gao

Journal of Scientific Information Research

[Purpose/significance] Placing technology opportunity identification in the perspective of technology attribute analysis and competitive environment scanning provides intelligence support for enterprises to select technology opportunities and formulate technology competitive strategies in complex and changing market competition environments.

[Method/process] Using patents as the data source, first, the BERTopic model is used to explore potential technical topics, Secondly, starting from the technical attributes, and from both global and local perspectives, we propose indicators of technical importance and technical attention, and use their cross screening to select candidate sets of technical opportunities, Finally, a market competition intensity index that takes into account market …

Analysis Of Vision Transformers And Domain Adaptation In Long-Range Facial Recognition, Zachary Michael Swanson

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

Atmospheric turbulence presents a significant barrier to long-range facial recognition, introducing severe geometric distortions and blur that degrade image quality. This thesis investigates deep learning approaches for mitigating these effects, with a focus on transformer based architectures and domain adaptation strategies.

An in-depth benchmarking study was performed using convolutional neural networks (CNNs) and vision transformers (ViTs) on the Husker BRIAR Research Collection from up to 500m (HBRC-500) face dataset. The results demonstrated that vision transformers, particularly hierarchical vision transformers like the shifted-window (Swin) transformer, outperform CNN-based models at long distances due to their ability to model global spatial relationships and …

Unm Pathology, Pathfinder Summer 2025, Unm Department Of Pathology

Newsletters

No abstract provided.

Artificial Intelligence And Humanoid Robotics: Bioethical Implications Of Replacing Human Agency In Healthcare And Beyond, Sara Feizyab, Gabriele Bonetti, Maria Chiara Medori, Cecilia Micheletti, Immacolata De Luca, Kevin Donato, Jan Miertuš, Mehmet Sait Dundar, Miroslava Vráblová, Gary Henehan, Richard Brown, Robert Marks, Stanislav Miertus, Lorenzo Lorusso, Gianluca Martino Tartaglia, Munis Dundar, Sandro Michelini, Stephen Thaddeus Connelly, Ariola Bacu, Tommaso Beccari, Ornela Gordani, Xhilda Dhamo, Eglantina Kalluci, Dominika Vešelényiová, Iveta Dirgová Luptáková, Jiri Pospíchal, Matteo Bertelli

Research Outputs: 2025-Present

The integration of advanced artificial intelligence (AI) and humanoid robotics into healthcare represents a critical evolution in biotechnology with profound societal implications. This review explores the bioethical implications of these technologies, and their potential to displace human agency in life-critical decisions. It adopts an interdisciplinary approach encompassing ethics, law, and technology. The review examines how innovations in AI and robotics might shift autonomy from humans to machines, and addresses the accountability challenges inherent in such transitions. We synthesize discussions on the ethical management of AI and robotics, underscoring the importance of maintaining human oversight and integrating ethical standards in technology …

An Exponential Cone Integer Programming And Piece-Wise Linear Approximation Approach For 0-1 Fractional Programming, Hoang Giang Pham, Thuy Anh Ta, Tien Mai

Research Collection School Of Computing and Information Systems

We study a class of binary fractional programs commonly encountered in important application domains such as assortment optimization and facility location. These problems are known to be NP-hard to approximate within any constant factor, and existing solution approaches typically rely on mixed-integer linear programming or second-order cone programming reformulations. These methods often utilize linearization techniques (e.g., big-M or McCormick inequalities), which can result in weak continuous relaxations. In this work, we propose a novel approach based on an exponential cone reformulation combined with piecewise linear approximation. This allows the problem to be solved efficiently using standard cutting-plane or branch-and-cut procedures. …

Crow: Eliminating Backdoors From Large Language Models Via Internal Consistency Regularization, Nay Myat Min, Long H. Pham, Yige Li, Jun Sun

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) are vulnerable to backdoor attacks that manipulate outputs via hidden triggers. Existing defense methods—designed for vision/text classification tasks—fail for text generation. We propose Internal Consistency Regularization (CROW), a defense leveraging the observation that backdoored models exhibit unstable layer-wise hidden representations when triggered, while clean models show smooth transitions. CROW enforces consistency across layers via adversarial perturbations and regularization during finetuning, neutralizing backdoors without requiring clean reference models or trigger knowledge—only a small clean dataset. Experiments across Llama-2 (7B, 13B), CodeLlama (7B, 13B), and Mistral-7B demonstrate CROW’s effectiveness: it achieves significant reductions in attack success rates across …

Position: Trustworthy Ai Agents Require The Integration Of Large Language Models And Formal Methods, Yedi Zhang, Yufan Cai, Xinyue Zuo, Xiaokun Luan, Kailong Wang, Zhe Hou, Yifan Zhang, Zhiyuan Wei, Meng Sun, Jun Sun, Jing Sun, Jin Song Dong

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) have emerged as a transformative AI paradigm, profoundly influencing broad aspects of daily life. Despite their remarkable performance, LLMs exhibit a fundamental limitation: hallucination—the tendency to produce misleading outputs that appear plausible. This inherent unreliability poses significant risks, particularly in high-stakes domains where trustworthiness is essential. On the other hand, Formal Methods (FMs), which share foundations with symbolic AI, provide mathematically rigorous techniques for modeling, specifying, reasoning, and verifying the correctness of systems. These methods have been widely employed in mission-critical domains such as aerospace, defense, and cybersecurity. However, the broader adoption of FMs remains constrained …

Llmscan: Causal Scan For Llm Misbehavior Detection, Mengdi Zhang, Kai Kiat Goh, Peixin Zhang, Jun Sun, Lin Xin Rose, Hongyu Zhang

Research Collection School Of Computing and Information Systems

Despite the success of Large Language Models (LLMs) across various fields, their potential to generate untruthful and harmful responses poses significant risks, particularly in critical applications. This highlights the urgent need for systematic methods to detect and prevent such misbehavior. While existing approaches target specific issues such as harmful responses, this work introduces LLMSCAN, an innovative LLM monitoring technique based on causality analysis, offering a comprehensive solution. LLMSCAN systematically monitors the inner workings of an LLM through the lens of causal inference, operating on the premise that the LLM’s ‘brain’ behaves differently when generating harmful or untruthful responses. By analyzing …

Repairing Adversarial Texts Through Perturbation, Guoliang Dong, Jingyi Wang, Jun Sun, Sudipta Chattopadhyay, Xinyu Wang, Ting Dai, Jie Shi, Jin Song Dong

Research Collection School Of Computing and Information Systems

It is known that neural networks are subject to attacks through adversarial perturbations. Worse yet, such attacks are impossible to eliminate, i.e., the adversarial perturbation is still possible after applying mitigation methods such as adversarial training. Multiple approaches have been developed to detect and reject such adversarial inputs. Rejecting suspicious inputs however may not be always feasible or ideal. First, normal inputs may be rejected due to false alarms generated by the detection algorithm. Second, denial-of-service attacks may be conducted by feeding such systems with adversarial inputs. To address this, in this work, we focus on the text domain and …

Sigfinger: A Subtle And Interactive Gnn Fingerprinting Scheme Via Spatial Structure Inference Perturbation, Ju Jia, Renjie Li, Cong Wu, Siqi Ma, Lina Wang, Robert H. Deng

Research Collection School Of Computing and Information Systems

There have been significant improvements in intellectual property (IP) protection for deep learning models trained on euclidean data. However, the complex and irregular graph-structured data in non-euclidean space poses a huge challenge to the IP protection of graph neural networks (GNNs). To address this issue, we propose a subtle and interactive GNN fingerprinting scheme through spatial structure inference perturbation, which captures the stable coordination patterns of fingerprint to guarantee the reliability of copyright verification. Specifically, the data augmentation based on adaptive graph diffusion is first exploited to generate more samples, which enables the exploration of fingerprint information from coarse to …

Action Dubber: Timing Audible Actions Via Inflectional Flow, Wenlong Wan, Weiying Zheng, Tianyi Xiang, Guiqing Li, Shengfeng He

Research Collection School Of Computing and Information Systems

We introduce the task of Audible Action Temporal Localization, which aims to identify the spatiotemporal coordinates of audible movements. Unlike conventional tasks such as action recognition and temporal action localization, which broadly analyze video content, our task focuses on the distinct kinematic dynamics of audible actions. It is based on the premise that key actions are driven by inflectional movements; for example, collisions that produce sound often involve abrupt changes in motion. To capture this, we propose T A2Net, a novel architecture that estimates inflectional flow using the second derivative of motion to determine collision timings without relying on audio …