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Moravec's Paradox: Towards an Auditory Turing Test
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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Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms
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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LLM-Assisted Cheating Detection in Korean Language via Keystrokes
This paper tackles a practical but underexplored anti-cheating problem: detecting LLM-assisted writing in Korean from typing behavior rather than submitted text
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SynPAIN: A Synthetic Dataset of Pain and Non-Pain Facial Expressions
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+ for Face Dataset Generation
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: Historical Access Based Multi-Factor Authorization
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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FacialMotionID: Identifying Users of Mixed Reality Headsets using Abstract Facial Motion Representations
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: Blow-Based Multi-Factor Biometrics for Smartphone User Authentication
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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Fingerprinting SDKs for Mobile Apps and Where to Find Them: Understanding the Market for Device Fingerprinting
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: Facial Video De-identification for Privacy-Preserving Stroke Triage
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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Defensive Adversarial CAPTCHA: A Semantics-Driven Framework for Natural Adversarial Example Generation
This paper addresses the growing vulnerability of traditional CAPTCHA systems to automated attacks leveraging deep neural networks (DNNs)
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Physical Layer-Based Device Fingerprinting for Wireless Security: From Theory to Practice
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…