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HEEDFUL tackles a practical failure mode in deep-learning RF fingerprinting — models trained on one capture regime often collapse when the device is still warming up
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This paper addresses the challenge of detecting sophisticated malicious bots on e-commerce platforms, which evade traditional defenses like IP blacklists and CAPTCHAs by using proxies, botnets, or …
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BOCLOAK is a constraint-aware adversarial attack framework for graph neural network (GNN) bot detectors on social networks
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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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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 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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This paper studies whether large language models can generate proof-faithful explanations over OWL ontologies, not just answer entailment queries
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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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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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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 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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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
