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This paper addresses the challenge of credit card fraud detection in e-commerce using Large Language Models (LLMs), a domain where conventional machine learning methods relying on engineered featur…
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This work investigates thermally activated configurational switching in a mesoscopic system of five laser-cooled trapped ions arranged in a square pyramidal cluster
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This paper proposes the Human Challenge Oracle (HCO), a security primitive aimed at solving a gap left by conventional CAPTCHAs and proof-of-personhood systems: they verify humanity at a point in t…
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This paper tackles a long-standing pain point in data engineering: how to detect grain-related transformation bugs before running a pipeline on real data
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ACCD tackles coordinated inauthentic behavior detection on social platforms, where existing systems often lean on static thresholds, fixed CCM parameters, and heavy manual labeling
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This paper argues that the main danger of generative AI is not just isolated deepfakes or better misinformation, but the emergence of “synthetic realities”: coherent environments where content, ide…
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This paper addresses a persistent gap in the online tracking literature: nearly all prior work measures tracking prevalence from a website-centric perspective (what fraction of the top-N sites depl…
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EdgeJury addresses the challenge of hallucinations and untruthful answers in question answering under resource-constrained, serverless edge inference settings, where using very large models or retr…
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This paper addresses the critical problem of detecting social bots on social media platforms by leveraging the heterogeneity of local network structures through a theoretically grounded motif-based…
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This paper addresses the challenge of detecting collaborative fraud within massive heterogeneous account graphs representing online payment platforms
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This paper asks a simple but important question for bot-defense and biometric security: if a generative human-animation model makes a video look convincing, does it also preserve the subject’s gait…
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This paper investigates whether promotional social bots on Twitter exhibit systematic behavioural changes over time, challenging the common assumption that bot behaviours and associated features re…
