Digital Commons Network^™

Lawyers And The Abuse Of Government Power, Margaret Tarkington

University of Michigan Journal of Law Reform

The legal profession needs to amend the rules of professional conduct to protect our constitutional system of government from those most likely to effectively undermine it: lawyers. The historic federal indictment against President Donald Trump for conspiring to stay in power after losing the 2020 presidential election included five attorney co-conspirators: Rudy Giuliani, John Eastman, Sidney Powell, Jeffrey Clark, and Kenneth Chesebro. Eight lawyers were indicted in Georgia on similar charges.

Lawyers weren’t just involved in Trump’s plot; they devised and enabled it. Rather than accurately advise Trump that he had lost and needed to concede, lawyers crafted a plan …

Deep Learning-Driven Biometric Security: Advancing Liveness Detection And Anti-Spoofing Techniques, Banafsheh Adami

Graduate Theses, Dissertations, and Problem Reports (ETD)

Biometric authentication has become a key part of our everyday lives—from unlocking smartphones with a fingerprint or face to verifying identities in banks and airports. These systems rely on our unique physical or behavioral traits, making them both convenient and secure. Unlike passwords, biometrics cannot be forgotten or stolen in the traditional sense. However, they are not without risk. One of the biggest concerns is spoofing: attempts by attackers to fool systems using fake biometric traits, such as silicone fingerprints or AI-generated videos.

As generative AI tools become more powerful and accessible, the ability to create convincing fake biometric data …

Judge Ai: Assessing Large Language Models In Judicial Decision-Making, Eric A. Posner, Shivam Saran

Coase-Sandor Institute for Law & Economics Research Paper Series

Can large language models (LLMs) replace human judges? By replicating a prior 2 x 2 factorial experiment conducted on 31 U.S. federal judges, we evaluate the legal reasoning of OpenAI’s GPT-4o. The experiment involves a simulated appeal in an international war crimes case, with two altered variables: the degree to which the defendant is sympathetically portrayed and the consistency of the lower court’s decision with precedent. We find that GPT-4o is strongly affected by precedent but not by sympathy, similar to students who were subjects in the same experiment but the opposite of the professional judges, who were influenced by …

Corruption Perception, Institutional Quality And Stock Prices: Evidence From The Egyptian Capital Market, Rasha Elbolok, Gina Eltabei, Dina Hassouna

Business Administration

This study examines the impact of institutional quality and corruption perception on stock prices in the Egyptian capital market, with a focus on the post-revolution period from to . Using the Generalized Method of Moments (GMM) methodology, this study provides empirical evidence on the significant role of macro-political factors and firm-specific variables in shaping stock market dynamics. The findings reveal that institutional quality, characterized by governance efficiency, regulatory frameworks, and the rule of law, positively correlates with stock prices. Similarly, enhanced corruption perception control significantly boosts investor confidence, leading to increased market valuations. Firm-level factors such as Tobin’s Q and …

The Importance Of Astronomy: Practical And Fundamental Aspects, Bailey N. Rossetti

Integrated Studies

Astronomy is both a field that answers fundamental theories and questions about our universe, while also advancing practical innovations that are used today. Astronomy analyzes questions about life beyond planet Earth and explores how planets, galaxies, and stars form. From early stargazers who only depended on stars for timekeeping and navigation to new advances in telescopes and space missions, astronomy has deepened the knowledge of humans for centuries. Astronomy has also supplied us with ways to track time, make calendars, and use navigation such as GPS systems. Beyond expanding discoveries, astronomy created technologies with wide-ranging features-- including medical imaging, satellite …

“Move Fast And Break Things”: Innovation, Stability, And Trust In The Growth Of Revolut., Belen Blanco Mendoza

Business ETD Collections

In this research project, I chose to examine the strategies used in the growth of the fintech Revolut, namely the ’move-fast-and-break-things’ strategy that was employed at the beginning of the company. With this in mind, I decided on two Research Questions, “With the benefit of hindsight, and a focus on problems caused by low security and poor customer support, is Revolut’s ‘move fast and break things’ philosophy a good strategy for the business?” and “Will Revolut’s new fraud prevention strategies, and advances in AI help recover the lost goodwill caused by their earlier ineffective strategies?”, which guided me …

Founder Worship, Effective Altruism, And Corporate Governance, Jennifer S. Fan, Xuan-Thao Nguyen

Law Faculty Research and Publications

Founders are the heart of any startup. Oftentimes, they are given considerable latitude in managing a company, particularly if they are hailed as a visionary founder in a pathbreaking new industry. Additionally, it is assumed that underpinning their actions is the desire to do good. Unfortunately, sometimes this leads to what we term founder worship where the promise of the founder and the innovation may lead to perverse outcomes because too much control is ceded to the founder and there is a lack (or sometimes complete absence of) corporate governance. When unlimited control is coupled with "do gooderism," which in …

Turning A Blind Eye: The United States' Failure To Fill In Whistleblower Policy Gaps Amid Global Reform, Nicolette Saddic

California Western International Law Journal

No abstract provided.

News Mediated Reporting And Governmental Narratives About The Enforcement Of Elite Criminality: Exploring The Social Construction Of Financial Frauds And Discrepancies In Punishment, Dominic J. Zicari

Theses and Dissertations

This study examines how financial crime enforcement decisions are socially constructed through a qualitative content analysis of news articles and government communications pertaining to two specific cases: the Enron scandal of 2001 and the subprime mortgage crisis of 2008. The study was guided by a theoretical framework that utilizes Barak’s (2017) theory of state-routinized crime control. The rigorous analysis of 394 news articles and government communication documents revealed that the media and the state rarely framed the subprime mortgage crisis as a criminal issue. Although the Enron scandal was frequently described as financial crime, journalists and government communicators were often …

Everything New Is Old Again: The Coming Metaverse, Platforms As Premises, And Addressing Harms That Occur Behind The Veil Of Scale, Lara Putnam, Jena Martin

Faculty Articles

Increasingly, social media companies have engaged in the creation, development, and deployment of "worlds" within a virtual reality setting, leading to significant interactions among users within these engineered spaces. However, this expansion has also been accompanied by harms. While some harms are unique to immersive reality technology, many mirror harms that occur in the analog environment, including fraud, theft, verbal abuse, and child sexual exploitation. Others replicate harms that have already exploded in non-immersive online spaces, including image-based sexual exploitation, cyberstalking, and invasion of privacy. Unfortunately, the architecture and infrastructure of these spaces has created what we coin here to …

The Swiping Desire: Intimacy, Libidinal Capitalism, And The Digital Subject In The Tinder Swindler, Chanif Ainun Naim

Masyarakat: Jurnal Sosiologi

This article examines how dating applications operate as libidinal infrastructures that restructure and commodify intimacy within platform capitalism, using The Tinder Swindler as a cultural case study. Employing a visual-narrative approach within the framework of Critical Discourse Analysis, the film is analyzed to reveal the structural exploitation of user affect and desire. Grounded in Lacanian psychoanalysis and Baudrillard’s simulation theory, the study argues that these platforms capitalize on the subject’s ontological lack (manque) which fuels desire as the desire for the Other’s desire. This psychic lack sustains a perpetual pursuit of recognition that can never be fulfilled. The swindler’s hyper-curated …

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 …

Decoding The Dynamics In Financial Fraud, Triana Eva Adiningsih

Jurnal Akuntansi dan Keuangan Indonesia

This empirical study examines fraud for the entire period and then compares it with the latest trends in the five years. This study utilizes extensive data sets to analyze specific aspects of fraud, including causes, types, solutions, and real-world cases. This study conducted a systematic literature review of relevant literature by taking data from Scopus-indexed journals. Vosviewer was used to identify events, and spreadsheet file information was grouped manually. Interestingly, the cheating types of ‘five-year statistics’ and ‘all-time statistics’ show slightly different frequencies. The main research topics focus on money laundering and financial crimes. To explore this further, this report …

The Small Business Killer: How Fincen Enforcement Of The Cta Could Destroy The Last Bastion Of The American Dream., Samantha M. Alecozay

Lincoln Memorial University Law Review Archive

This article addresses an urgent matter regarding the possible repercussions of FinCEN enforcement of the Corporate Transparency Act (“CTA”) against small businesses. The CTA, passed into law in 2021 and made effective January 1, 2024, mandates the creation of a nationwide database that collects owner information of certain legal entities to help prevent money laundering and other illicit financial activities. Further, a legal entity’s failure to comply with the statute may result in civil penalties of up to $591 per day of violation and even criminal penalties.As of January 1, 2024, tens of millions of small businesses in the U.S. …

Ai-Driven Anomaly Detection In Cybersecurity, Mohamed Almansoori

Theses

India has witnessed a huge level of digitization in the last two decades which has greatly impacted its economy and society. But the increasing use of technology has also intensified the number and level of threats to cyberspace in the country. Signature-based detection systems that have dominated the cybersecurity field for years have not been up to the challenge of modern attackers who use more complex and diverse attack methods. These challenges are well understood and this research focuses on improving the cybersecurity anomaly detection in India during the period between 2003 and 2022 using advanced AI and machine learning. …

Skimmer Detection On Payment Terminals, Adam Ratica

Defensive Publications Series

The present disclosure relates to an apparatus and a method for efficiently detecting skimmers on ATM/POS machines. The apparatus and method sends images of ATMs/ POS machines to a central service. LIDAR is used to take a detailed 3D image of the ATMs/ POS machine and the service generate a complete 3D model. The service include a database of different vendor ATMs/ POS machines, known skimmers, and a history of GPS coordinates and LIDAR 3D information. In an instance in which the LIDAR and images doesn’t match a known Vendor and/or past LIDAR/Image and GPS data do not match the …

Regulating Robo-Advisors In An Age Of Generative Artificial Intelligence, Daniel Schwarcz, Tom Baker

Law & Economics Working Papers

New generative Artificial Intelligence (AI) tools can increasingly engage in personalized, sustained and natural conversations with users. This technology has the capacity to reshape the financial services industry, making customized expert financial advice broadly available to consumers. However, AI’s ability to convincingly mimic human financial advisors also creates significant risks of large-scale financial misconduct. Which of these possibilities becomes reality will depend largely on the legal and regulatory rules governing “robo-advisors” that supply fully automated financial advice to consumers. This Article consequently critically examines this evolving regulatory landscape, arguing that current U.S. rules fail to adequately limit the risk that …

Securing Mobile Payments: The Impact Of Blockchain Technology On Transaction Integrity, Snehal Chaudhari

Electronic Theses, Projects, and Dissertations

This study investigates how blockchain, tokenization, and smart contracts improve security and transparency in mobile payment systems, addressing critical vulnerabilities in the increasing mobile payments industry. The main research questions are: (RO1) How can integrating blockchain technology improve the transparency and security of mobile payments? (RO2) Why do tokenization and smart contracts play a crucial role in improving security for mobile payments?

Case study outcomes include: (RO1) Shido Wallet's decentralized blockchain provides more control and transparency over their financial transactions, overcoming traditional security and trust concerns. Project Khokha illustrates blockchain's scalability and efficiency by allowing for high-speed, confidential interbank transactions. …

An Analysis Of Security Risks Posed By Text-Based Generative Ai And Corporate Security Weaknesses Leading To Data Leaks, Tashya Rakshana Byreddy

Electronic Theses, Projects, and Dissertations

ABSTRACT

Generative AI (GenAI) has become a fundamental part of modern life, influencing how we work, learn, and interact with technology. This project focuses specifically on text-based GenAI, which is widely used for tasks such as information gathering, code improvement, and content creation. Despite its benefits, it presents significant security risks that are often underestimated by users. This project investigates these risks and the corporate security gaps that lead to unintentional data leaks. The project also provides a brief overview of Large Language Models (LLMs), which are based on the deep learning technique known as Transformer architecture, used for performing …

Mitigating Credit Card Fraud In European Countries, Gurninder Singh

Electronic Theses, Projects, and Dissertations

The detection of credit card fraud is essential to lower monetary losses and boost consumer trust in financial institutions. The effectiveness of two machine learning models, the Hidden Markov Model (HMM) and Logistic Regression, in identifying credit card fraud was examined in this study. Data was gathered from a large dataset of transaction records to analyze each model's projected accuracy, precision, and recall. The research questions addressed are: (Q1) In terms of recognizing credit card fraud, how do artificial neural networks and decision trees perform differently? (Q2) What are the comparative accuracy levels of Markov versus Logistic Regression when it …

Smart Credit Card Fraud Detection Using Machine Learning, Aisha Bin Sulaiman, Rowdha Masood Falaknaz

Theses

This thesis addresses the increasing issue of fraud resulting from technological advancements affecting both customers and fraudsters, while law enforcement agencies face challenges of inadequate case prioritization; data overload and slow investigative analysis. The central objective of this thesis revolves around strategies to counter these challenges, emphasizing the urgency of rapid response to major alert cases that can lead to widespread impacts. The authors' experience in financial fraud detection and credit card crime investigation within the police department has inspired this research, guiding the approach toward practical solutions for everyday operational challenges. The significance of this thesis lies in its …

Tech-Savvy Fraud Investigators In An Age Of Digital Deception, Alan Saquella

Publications

The recent court conviction of cryptocurrency exchange founder Sam Bankman-Fried on charges of fraud and conspiracy related to the collapse of FTX has heightened the critical need for the next generation of fraud investigators to possess advanced technical skills. This high-profile case serves as a main indicator in the fight against white-collar crime and emphasizes the glaring reality that traditional investigative methods are no longer sufficient to fight modern-day financial bad behavior. As we witness an increase in white-collar crime on a global scale, the pressure for a new generation of fraud investigators, fortified with an advanced skill set, has …

Towards A Comprehensive Metaverse Forensic Framework Based On Technology Task Fit Model, Amna Almutawa, Richard Adeyemi Ikuesan, Huwida Said

All Works

This article introduces a robust metaverse forensic framework designed to facilitate the investigation of cybercrime within the dynamic and complex digital metaverse. In response to the growing potential for nefarious activities in this technological landscape, the framework is meticulously developed and aligned with international standardization, ensuring a comprehensive, reliable, and flexible approach to forensic investigations. Comprising seven distinct phases, including a crucial incident pre-response phase, the framework offers a detailed step-by-step guide that can be readily applied to any virtualized platform. Unlike previous studies that have primarily adapted the existing digital forensic methodologies, this proposed framework fills a critical research …

The Evolution Of Immigration Policy And Law Within The Democratic Party: A Comparative Analysis Of Immigration Law And Policy Between The Obama And Biden Administrations, Armando A. Olmedo Arias

University of Miami International and Comparative Law Review

No abstract provided.