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ByteDefender tackles a practical browser-privacy problem: fingerprinting is often embedded inside otherwise legitimate JavaScript, so blunt defenses like URL blocklists or whole-script blocking eit…
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This work investigates how WebAssembly (WASM) based obfuscation affects the detection of browser fingerprinting scripts
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FL-RBA2 is a federated learning framework for risk-based adaptive authentication (RBA) that tries to solve two problems at once: privacy leakage from centralized risk engines and poor model quality…
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Aura-CAPTCHA is a novel multi-modal CAPTCHA system designed to resist modern automated attacks by combining dynamically generated visual and audio challenges with real-time adaptive difficulty cont…
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This paper addresses the challenge of constructing a large-scale, high-quality synthetic face recognition dataset that contains no real-world identities, as required by the DataCV ICCV Face Recogni…
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This work introduces AirSignatureDB, a novel, publicly accessible dataset of in-air signature biometrics collected from 108 users in unconstrained real-world conditions using 83 different smartphon…
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This paper addresses the escalating threats to personal digital identity posed by generative AI technologies, including unauthorized cloning, impersonation, and monetization of digital likeness att…
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This paper addresses the challenge of deploying Physically Unclonable Functions (PUFs) for secure authentication in blockchain systems without relying on specialized hardware
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This paper investigates biometric verification in photorealistic talking-head avatar videos, where attackers may perform impersonation attacks by stealing a victim's avatar to replicate their appea…
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This paper investigates a fundamental and longstanding challenge in AI known as Moravec's paradox, specifically within the domain of auditory perception
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The paper asks whether phishing generation can be pushed beyond static, prompt-based output by treating attack design as an evolutionary process
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This paper tackles a practical but underexplored anti-cheating problem: detecting LLM-assisted writing in Korean from typing behavior rather than submitted text
