Digital Commons Network^™

Political Communication In A Multicultural Metropolis: Chinese Ethnic Media And The 2023 Toronto Mayoral By-Election, Dongwei Lin

Theses and Dissertations (Comprehensive)

Chinese are the second largest visible minority group in Canada and the most frequently reported ethnic or cultural origin in Toronto. Mandarin and Cantonese are, respectively, the largest and third largest non-official languages in Toronto. However, little research exists on the role of the Chinese ethnic community in Toronto municipal politics, especially the role of Chinese ethnic media in Toronto municipal elections.

The key argument of this thesis is that “Chinese ethnic media represent complementary public sphere(s) for informing and engaging Chinese Canadians in local political participation and discussion.” Through the 2023 Toronto Mayoral By-Election case study, this thesis examines …

Sting: A Stealthy Backdoor Attack On Gnn-Based Malicious Domain Detection Via Dns Perturbations, Muhammad Anan, Mahmoud Nazzal, Abdallah Khreishah, Issa Khalil, Nhathai Phan, Ahmad Sawalmeh

Computer Science Faculty Publications

Detecting malicious Internet domains is essential for safeguarding against various online threats. The current approach to detecting malicious domains (MDD) employs a graph neural network (GNN) method, which uses DNS logs to construct heterogeneous graphs for determining the maliciousness of unknown domains. Despite its success, this method is vulnerable to data poisoning attacks where an adversary can manipulate specific graph nodes to implant a backdoor into the model during training. To showcase the vulnerability, we propose a stealthy trigger injection attack on node features and graph structure in MDD, dubbed (STING). The attacker carefully manipulates selected features and edges of …

Social Connections And Bond Pricing, Uliana Filatova

Electronic Theses and Dissertations 2020 - Present

In this manuscript, I present two essays that examine the role of social connections in corporate bond pricing.

The first essay examines the effect of interlocking connections between investment banks and corporate executives or directors on bond underpricing and underwriting fees. Interlocking is associated with more accurate bond pricing, reflected in significantly lower excess initial returns on newly issued bonds. Specifically, interlocking reduces underpricing by 6.25-14.01 basis points, saving, on average, up to $935,000 per issuance cost. The reduction in underpricing is most pronounced for high-yield bonds and bond IPOs, where the financial expertise of interlocked investment banks is particularly …

Enhancing Ai-Driven Automation For Object Detection And Computer Vision, Nafeeul Alam Walee

College of Graduate Studies: Theses & Dissertations

In recent years, AI-driven automation has revolutionized the field of object detection and computer vision, enabling sophisticated and efficient solutions across various industries. This research explores the latest advances and techniques in improving AI-driven automation for object detection and computer vision applications. We examine state-of-the-art deep learning models and frameworks that have contributed to significant improvements in accuracy and speed and highlight the generative results. The focus is on exploring the real-time processing capabilities that have expanded the applicability of these technologies in real-world scenarios. Furthermore, we investigate image integration and video data to improve precision detection and contextual understanding. …

Content Subversion Against 1 Information-Based Systems, Junjie Xiong, Ian Markwood, Dakun Shen, Yao Liu, Zhuo Lu

Computer Science Faculty Research & Creative Works

We present a novel class of content subversion attacks against information-based services, causing documents to appear to humans dissimilar to the underlying content extracted by information-based services. We demonstrate the significant impact of these attacks on real-world systems through five distinct variants. Our first attack allows academic paper writers and reviewers to collude via subverting the automatic reviewer assignment systems in current use by academic conferences including INFOCOM, which we reproduced. Our second attack renders ineffective plagiarism detection software, particularly Turnitin, targeting specific small plagiarism similarity scores to appear natural and evade detection. In our third attack, we place masked …

Generative Identity Theft: Criminalizing Deepfakes Using The Right Of Publicity, Dustin Marlan

Faculty Publications

The right of publicity grants individuals control over the commercial use of their identity, particularly name, image, and likeness. Currently, publicity laws are a fragmented patchwork of state statutes and case law, leading to frequent calls for reform, including the establishment of a federal right of publicity. This issue has gained renewed urgency amid the rise of generative artificial intelligence and deepfake technologies. In response, Congress has introduced multiple bipartisan proposals—most prominently, the Senate’s No FAKES Act and the House’s No AI FRAUD Act—that seek to create federal protections against unauthorized digital replicas of likeness, voice, and other aspects of …

Can Whistleblowing Improve Organizational Effectiveness? Evidence From Financial Reporting Misconduct, Hong Kim Duong, Sadok El Ghoul, Omrane Guedhami, Emmanuel Sequeira, Zuobao Wei

Faculty Research, Scholarly, and Creative Activity

Background: While whistleblowing (WB) has attracted growing research interest in recent years, several critical WB-related issues remain underexplored. Purpose: This study examines the impact of external WB allegations on a firm’s organizational capital (OC). Such allegations often indicate management’s failure to address employee concerns internally, spotlighting potential deficiencies in internal reporting systems, employee communication, training, and trust in organizational fairness. To mitigate reputational damage, restore employee trust, and prevent future incidents, we posit that WB firms respond by increasing OC investment. Research Design: We employ a difference-in-differences approach, comparing OC changes in WB-targeted firms with those in a propensity score-matched …