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This paper asks a narrow but important question for bot defense: do bots and humans differ in how they embed cognitive-bias triggers inside COVID-19 vaccine misinformation, and do those triggers re…
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This paper studies a practical but under-measured problem: bots that actively change browser fingerprints to evade commercial anti-bot systems
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This paper addresses the problem of reliably fingerprinting TLS client applications based on their client hello messages in the presence of adversarial modifications, specifically cipher stunting
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This paper addresses the key problem of measuring the fingerprinting risk posed by modern Web APIs
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This paper asks whether mouse movement dynamics can support continuous authentication, and whether model performance changes when the user is interacting in two very different contexts: a low-inten…
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This paper studies continuous authentication from touchscreen behavior rather than passwords or one-time unlocks
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This paper studies how COVID-era disinformation from the “Disinformation Dozen” propagates on Telegram, and whether bots or humans are doing the main work of amplification
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This paper addresses the challenge of recognizing distorted, variable-length text captchas, which are commonly used to differentiate humans from bots in security settings
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This paper addresses the challenge of detecting browser fingerprinting, a privacy-invasive tracking technique increasingly used as third-party cookies are restricted
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This paper studies continuous authentication from mouse clickstream data, using the Balabit Mouse Challenge dataset as a behavioral biometric source
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This paper is a survey of adversarial CAPTCHAs, positioned as a response to the long-running security/usability trade-off in classic CAPTCHA design
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This paper presents a large-scale, real-world user study of Google's reCAPTCHAv2 conducted over 13 months with more than 3,600 distinct university users interacting via live account creation and pa…
