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This paper addresses longstanding limitations of CAPTCHAs related to usability, privacy, and resistance to outsourcing by CAPTCHA farms
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This paper asks a simple but important question: if Chia is marketed as a greener blockchain because it replaces computation with storage, what is its real energy and carbon footprint once you acco…
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This paper critically examines the widely held assumption in Unix-like systems that filesystem operations exhibit instantaneous atomic state transitions, exposing this assumption as a fundamental c…
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This paper addresses the challenge of authenticating commodity WiFi devices using physical-layer fingerprints extracted from Channel State Information (CSI)
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ZK-PoP is trying to solve a real tension in process attestation: the more behavioral evidence you collect to prove a human wrote something, the more you expose about that person’s identity, cogniti…
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Key findings include that tool use dramatically increases compliance with hidden instructions (Cohen's h effect sizes up to 1.37), encoding vulnerability is provider-specific (OpenAI models decode …
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This work addresses the critical challenges in social bot detection arising from severe class imbalance between bots and humans, and noisy graph topologies caused by deceptive bot connections that …
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This paper attacks a long-standing conjecture about adversarial robustness in turnstile (insertion-deletion) streams: that once the stream is adaptive and long enough, any robust algorithm must use…
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This paper addresses the emerging adversarial dynamic between autonomous GUI agents—software capable of interacting with mobile device interfaces—and platform defenses that seek to detect and block…
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This paper presents the first empirical measurement study of autonomous AI agents hiring human workers through an online marketplace, RENTAHUMAN.AI, which exposes a new and large-scale attack surfa…
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This paper studies private continual release in turnstile streams for two core statistics: the number of distinct elements and the second frequency moment F2
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This paper asks whether passive TLS handshake metadata, specifically JA4 fingerprints, can separate malicious web bots from legitimate human traffic without relying on browser-side behavior or intr…
