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SynPAIN tackles a very specific but important data problem in automated pain assessment: most public facial-pain datasets are small, skew younger, and underrepresent the older adults and demographi…
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Vec2Face+ is a synthetic face-dataset generation method aimed at face recognition training, with the central claim that the remaining gap between synthetic and real training data is not just about …
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MFAz tackles a gap that standard access control and MFA do not address: once a session is already established, an attacker who steals or reuses the session identifier can often bypass the original …
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This paper studies whether the abstract facial-motion streams produced by mixed-reality headsets are privacy-sensitive behavioral biometrics, even when no raw video is exposed
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BlowPrint tackles a pretty specific but practical problem in smartphone authentication: can a behavioral signal that is contactless, quick to perform, and hard to spoof be paired with a standard ph…
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This paper addresses the pervasive practice of device fingerprinting in the mobile app ecosystem, focusing on the role of third-party SDKs embedded in Android apps
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SafeTriage tackles a very specific privacy bottleneck in clinical AI: how to share and reuse facial video from suspected stroke patients without exposing identity, while still preserving the subtle…
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This paper addresses novel security vulnerabilities in autonomous web navigation agents that rely on external memory systems to maintain context across multi-step tasks
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This paper addresses the growing vulnerability of traditional CAPTCHA systems to automated attacks leveraging deep neural networks (DNNs)
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This paper addresses the problem of secure device authentication in wireless communications, particularly for resource-constrained Internet of Things (IoT) devices where traditional cryptographic m…
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This study reports a landmark evaluation of OpenAI's latest large language model, o3, on a challenging thermodynamics exam typically taken by university engineering students
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This paper presents LeanTutor, a proof-of-concept AI-based mathematical proof tutoring system that combines the language fluency of Large Language Models (LLMs) with the formal correctness guarante…
