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๐Ÿ” raphael feraud ๐Ÿ“‚ Computer Science
Showing 797 results for "raphael feraud" in Computer Science
Computer Science Preprint PDF DOI

Essential, Yet Overlooked: Identity Verification Barriers for Blind and Low Vision People in Government Services

Ryan John Oommen, Tanusree Sharma ยท 2026

Identity verification is a critical gateway to accessing government services and public benefits, yet contemporary systems are typically designed around visual interaction, leaving blind and low visioโ€ฆ

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Computer Science Preprint PDF DOI

Static Attribution of Android Residential Proxy Malware Using Graph Kernels

Peter Clark, Yong Guan, Zhonghao Liao ยท 2026

Android residential proxy applications represent a growing class of potentially-unwanted programs (PUPs) that covertly route third-party traffic through end-user devices, enabling ad fraud, credentialโ€ฆ

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Computer Science Preprint PDF DOI

Optimally Auditing Adversarial Agents

Sanmay Das, Fang-Yi Yu, Yuang Zhang ยท 2026

Fraud can pose a challenge in many resource allocation domains, including social service delivery and credit provision. For example, agents may misreport private information in order to gain benefits โ€ฆ

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Computer Science Preprint PDF DOI

Analysis of Personal Data Exposure in Thailand

Suphannee Sivakorn, Sasawat Malaivongs, Nuttaya Rujiratanapat ยท 2026

In the digital era, personal data, particularly sensitive identifiers such as the Social Security Number and National Identification Number, have become a highly valuable asset, raising significant coโ€ฆ

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Computer Science Preprint PDF DOI

Scalable and Verifiable Federated Learning for Cross-Institution Financial Fraud Detection

Prajwal Panth, Nishant Nigam ยท 2026

The global financial ecosystem confronts a critical asymmetry: while fraud syndicates operate as borderless, distributed networks, banking institutions remain constrained by regulatory data silos, limโ€ฆ

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Computer Science Preprint PDF DOI

Who Audits the Auditor? Tamper-Proof Fraud Detection with Blockchain-Anchored Explainable ML

Zhaohui Wang ยท 2026

In enterprise fraud detection, model accuracy alone is insufficient when insiders can tamper with audit logs or bypass approval workflows. Real-world incidents show that fraud often persists not becauโ€ฆ

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Computer Science Preprint PDF DOI

BuyTheBy: A dataset of 18,710 text-based paper mill advertisements with 51,812 timestamped prices

Reese AK Richardson, Spencer S Hong, Anna Abalkina ยท 2026

The study of paper mills and similar businesses operating in the market for academic and education fraud services is frustrated by the lack of market price data on their various offerings. Here, we asโ€ฆ

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Computer Science Preprint PDF DOI

Sherpa.ai Privacy-Preserving Multi-Party Entity Alignment without Intersection Disclosure for Noisy Identifiers

Daniel M. Jimenez-Gutierrez, Enrique Zuazua, Georgios Kellaris, Joaquin Del Rio, Oleksii Sliusarenko, Xabi Uribe-Etxebarria ยท 2026

Federated Learning (FL) enables collaborative model training among multiple parties without centralizing raw data. There are two main paradigms in FL: Horizontal FL (HFL), where all participants shareโ€ฆ

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Computer Science Preprint PDF DOI

Label-Free Detection of Governance Evidence Degradation in Risk Decision Systems

Oleg Solozobov ยท 2026

Risk decision systems in fraud detection and credit scoring operate under structural label absence: ground truth arrives weeks to months after decisions are made. During this blind period, model perfoโ€ฆ

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You can just review things: A digital ethnography of informal peer review

Jay Patel, Joel Chan ยท 2026

Across scholarly communities, manuscripts face similar evaluative rituals: editors invite experts to privately assess submissions through formal peer reviews. This closed, loosely structured, and publโ€ฆ

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Computer Science Preprint PDF DOI

Evidence Sufficiency Under Delayed Ground Truth: Proxy Monitoring for Risk Decision Systems

Oleg Solozobov ยท 2026

Machine learning systems in fraud detection, credit scoring, and clinical risk assessment operate under delayed ground truth: outcome labels arrive days to months after the decision they evaluate. Durโ€ฆ

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HarmfulSkillBench: How Do Harmful Skills Weaponize Your Agents?

Yukun Jiang, Yage Zhang, Michael Backes, Xinyue Shen, Yang Zhang ยท 2026

Large language models (LLMs) have evolved into autonomous agents that rely on open skill ecosystems (e.g., ClawHub and Skills.Rest), hosting numerous publicly reusable skills. Existing security researโ€ฆ

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The Impact of AI-Generated Text on the Internet

Jonas Dolezal, Sawood Alam, Mark Graham, Maty Bohacek ยท 2026

The proliferation of AI-generated and AI-assisted text on the internet is feared to contribute to a degradation in semantic and stylistic diversity, factual accuracy, and other negative developments (โ€ฆ

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Computer Science Preprint PDF DOI

UniDetect: LLM-Driven Universal Fraud Detection across Heterogeneous Blockchains

Shuyi Miao, Wangjie Qiu, Shengda Zhuo, Fei Shen, Dan Lin, Xingtong Yu, Chua Tat-Seng, Zhiming Zheng ยท 2026

As cross-chain interoperability advances, decentralized finance (DeFi) protocols enable illicit funds to be reorganized into uniform liquid assets that flow throughout the cryptocurrency market. Such โ€ฆ

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Computer Science Preprint PDF DOI

CapBench: A Multi-PDK Dataset for Machine-Learning-Based Post-Layout Capacitance Extraction

Hector R. Rodriguez, Jiechen Huang, Wenjian Yu ยท 2026

We present CapBench, a fully reproducible, multi-PDK dataset for capacitance extraction. The dataset is derived from open-source designs, including single-core CPUs, systems-on-chip, and media accelerโ€ฆ

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FEDBUD: Joint Incentive and Privacy Optimization for Resource-Constrained Federated Learning

Tao Liu, Xuehe Wang ยท 2026

Federated learning has become a popular paradigm for privacy protection and edge-based machine learning. However, defending against differential attacks and devising incentive strategies remain signifโ€ฆ

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Computer Science Preprint PDF DOI

Who Governs the Machine? A Machine Identity Governance Taxonomy (MIGT) for AI Systems Operating Across Enterprise and Geopolitical Boundaries

Andrew Kurtz, Klaudia Krawiecka ยท 2026

The governance of artificial intelligence has a blind spot: the machine identities that AI systems use to act. AI agents, service accounts, API tokens, and automated workflows now outnumber human idenโ€ฆ

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Synthetic Trust Attacks: Modeling How Generative AI Manipulates Human Decisions in Social Engineering Fraud

Muhammad Tahir Ashraf ยท 2026

Imagine receiving a video call from your CFO, surrounded by colleagues, asking you to urgently authorise a confidential transfer. You comply. Every person on that call was fake, and you just lost $25 โ€ฆ

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Stand-Alone Complex or Vibercrime? Exploring the adoption and innovation of GenAI tools, coding assistants, and agents within cybercrime ecosystems

Jack Hughes, Ben Collier, Daniel R. Thomas ยท 2026

Existential risk scenarios relating to Generative Artificial Intelligence often involve advanced systems or agentic models breaking loose and using hacking tools to gain control over critical infrastrโ€ฆ

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To Use or Not to Use: Investigating Student Perceptions of Faculty Generative AI Usage in Higher Education

Jie Gao, Jiayi Zhang, Dan Chen ยท 2026

While Generative AI (GenAI) rapidly integrated into higher education, existing research has primarily focused on regulating student use. As a result, student perspectives on faculty adoption of GenAI โ€ฆ

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