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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
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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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This work investigates thermally activated configurational switching in a mesoscopic system of five laser-cooled trapped ions arranged in a square pyramidal cluster
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This paper proposes the Human Challenge Oracle (HCO), a security primitive aimed at solving a gap left by conventional CAPTCHAs and proof-of-personhood systems: they verify humanity at a point in t…
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This paper tackles a long-standing pain point in data engineering: how to detect grain-related transformation bugs before running a pipeline on real data
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ACCD tackles coordinated inauthentic behavior detection on social platforms, where existing systems often lean on static thresholds, fixed CCM parameters, and heavy manual labeling
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This paper argues that the main danger of generative AI is not just isolated deepfakes or better misinformation, but the emergence of “synthetic realities”: coherent environments where content, ide…
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This paper addresses a persistent gap in the online tracking literature: nearly all prior work measures tracking prevalence from a website-centric perspective (what fraction of the top-N sites depl…
