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Optimal Transport-Guided Adversarial Attacks on Graph Neural Network-Based Bot Detection
BOCLOAK is a constraint-aware adversarial attack framework for graph neural network (GNN) bot detectors on social networks
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Trackly: A Unified SaaS Platform for User Behavior Analytics and Real Time Rule Based Anomaly Detection
This paper presents Trackly, a unified SaaS platform designed to integrate comprehensive user behavior analytics with real-time rule-based anomaly detection
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Physiological and Behavioral Modeling of Stress and Cognitive Load in Web-Based Question Answering
This paper studies whether very short web survey interactions can reveal stress and cognitive load from multimodal signals, and whether those signals align better with experimentally manipulated ta…
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CONTEX-T: Contextual Exploitation of Encrypted Traffic for Device Fingerprinting via Transformer Time-Frequency Analysis
CONTEX-T studies a passive device-fingerprinting attack on encrypted IoT traffic, but instead of working directly in the packet-sequence or grayscale-image domain, it transforms packet-length windo…
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Large Language Model for OWL Proofs
This paper studies whether large language models can generate proof-faithful explanations over OWL ontologies, not just answer entailment queries
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Telling Human and Machine Handwriting Apart
This paper asks a security-oriented question: can we reliably distinguish genuine online handwriting from synthetic handwriting generated by modern models and classical motion synthesis? The author…
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On click-fraud under pro-rata revenue sharing rule
This paper addresses the strategic click-fraud vulnerability often attributed to the pro-rata revenue sharing rule on music streaming platforms, which allocates artists’ royalties proportional to t…
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Robust CAPTCHA Using Audio Illusions in the Era of Large Language Models: from Evaluation to Advances
This paper argues that audio CAPTCHAs have quietly become brittle in the face of modern speech and audio foundation models
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VIPER Strike: Defeating Visual Reasoning CAPTCHAs via Structured Vision-Language Inference
VIPER Strike studies visual reasoning CAPTCHAs (VRCs) as a combined perception-and-reasoning problem: the attacker must localize the right object(s) in a cluttered image and then follow natural-lan…
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Beyond BeautifulSoup: Benchmarking LLM-Powered Web Scraping for Everyday Users
This paper investigates how large language models (LLMs) have democratized web scraping, enabling everyday users with limited technical skills to extract data from increasingly complex websites
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Reinforcement Learning of Large Language Models for Interpretable Credit Card Fraud Detection
This paper addresses the challenge of credit card fraud detection in e-commerce using Large Language Models (LLMs), a domain where conventional machine learning methods relying on engineered featur…
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Symmetry-controlled thermal activation in pyramidal Coulomb clusters: Testing Kramers-Langer theory
This work investigates thermally activated configurational switching in a mesoscopic system of five laser-cooled trapped ions arranged in a square pyramidal cluster