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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 enabling intelligent browser-use agents to complete complex, multi-turn, long-horizon tasks on real-world webpages
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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 …
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This paper tackles a practical failure mode in Android security analysis: modern commercial packers increasingly break the usual workflow of unpacking an app and then instrumenting the recovered co…
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AuthREST is an open-source black-box security testing tool for a very specific but common class of API failures: broken authentication
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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…
