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The paper addresses a critical bottleneck in neural theorem proving: the excessive length and complexity of formal proofs generated by state-of-the-art reinforcement learning (RL) trained language …
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This paper asks a practical but underexplored question: what happens to web content delivery when the access network is not a terrestrial ISP but a LEO satellite network like Starlink? The authors …
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This paper addresses the problem of automatically detecting a user's familiarity with virtual reality (VR) systems by analyzing behavioral biometrics during VR interactions
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This paper addresses the challenge of early, non-invasive diagnosis of Parkinson's disease (PD) using keystroke dynamics (KD) as a digital biomarker
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This paper addresses the challenge of solving modern CAPTCHAs, which have evolved from simple text recognition tasks into complex visual-spatial puzzles requiring multi-step reasoning and spatial c…
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This paper addresses the urgent need for new CAPTCHA designs that remain robust against state-of-the-art multi-modal large language models (MLLMs) that have eroded the effectiveness of traditional …
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This paper addresses the longstanding tension in CAPTCHA design between usability and resilience against modern AI-powered bots
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This paper investigates the robustness of keystroke dynamics as a behavioral biometric for active user authentication under the emerging conditions of Large Language Model (LLM) assistance and vary…
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This paper addresses the challenge of detecting Account Takeover (ATO) fraud in consumer banking, where attackers gain unauthorized access to customer accounts to conduct high-risk transactions
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This paper addresses the challenge of multi-stage e-commerce payment fraud detection by reframing the problem as a constrained Markov Decision Process (MDP) and solving it with policy-gradient rein…
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This paper addresses the critical problem of online credit card fraud detection, which is challenging due to highly imbalanced data and complex fraud patterns amid rising digital transactions
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This paper tackles a very practical bottleneck in automated pain assessment: there are too few diverse, high-pain facial examples to train models that generalize beyond a small set of subjects and …
