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This paper addresses a practical gap in bot defense — many websites need something cheaper and less intrusive than CAPTCHAs, but more effective than simple user-agent blacklists
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This paper tackles a critical practical barrier for digital accessibility compliance in mathematics education following 2024 Title II ADA updates in the US
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This paper investigates how Android developers perceive platform efforts to reduce user tracking via device fingerprinting, a stealthy method that circumvents user controls and privacy protections
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The paper introduces the 'novelty bottleneck,' a conceptual framework that explains why human effort in AI-assisted tasks scales linearly with task size rather than sublinearly, despite advances in…
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This paper studies a question that most bot-detection work ignores: what happens when the bots are not static, but reinforcement-learning agents that adapt during the campaign? The authors use data…
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This paper addresses the challenging problem of enabling native GUI agents—end-to-end vision-language models that operate directly on raw screenshots—to robustly solve modern interactive CAPTCHA ch…
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This paper addresses the critical challenge of understanding and quantifying DRAM cell vulnerabilities that enable multiple security attacks, such as retention failures, Rowhammer, and Rowpress dis…
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This paper presents YouTube-Synch, a production-scale system designed for continuous, automated replication of YouTube video content from creator-authorized channels onto a blockchain-based decentr…
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This paper addresses a key limitation in AI-driven autoformalization of mathematics: while proof assistants ensure logical correctness of proofs via type checking, they do not guarantee that the fo…
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This paper is a Lean 4/Mathlib formalization of the classical planar isoperimetric inequality, proved via Hurwitz’s Fourier-analytic argument rather than via variational methods
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This work addresses the critical problem of robust user identification within Virtual Reality (VR) environments using behavioral biometrics derived from motion tracking data
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This survey systematically maps and synthesizes research on programmer attribution based on source code stylometry and behavioral biometrics from 2012 to 2025
