research note
This paper is a descriptive case study of the October 2023 23andMe breach, focused on how a relatively small credential-stuffing event escalated into a much larger exposure because of the platform’…
research note
This paper addresses a critical gap in the measurement and detection of browser fingerprinting, an invasive tracking technique used for profiling users online
research note
This paper tackles sybil detection from a graph-algorithms angle rather than as a pure machine-learning classification task
research note
This paper tackles a very specific bottleneck in forehead-crease biometrics: there are too few real identities and too little within-subject variation to train a verification system that generalize…
research note
This paper asks a practical security question that voting-based LLM leaderboards have mostly glossed over: if model identities are hidden during pairwise voting, can an adversary still learn which …
research note
This paper asks a practical question that keystroke-biometrics researchers often assume away: how much dataset breadth (number of subjects) and depth (samples per subject, sequence length, and trip…
research note
MagicMirror targets a specific bottleneck in personalized video generation: you want a subject’s identity to stay stable across frames, but you also want the video to move naturally instead of look…
research note
The Keystroke Verification Challenge - onGoing (KVC-onGoing) addresses the lack of standardized benchmarking protocols and large-scale, publicly accessible datasets for keystroke dynamics (KD) biom…
research note
This study addresses challenges in web crawling caused by webpage diversity and anti-scraping defenses by leveraging generative AI systems, specifically Claude AI (Sonnet 3.5) and ChatGPT-4.0, with…
research note
This paper addresses the critical challenge of improving Risk-based Authentication (RBA) systems by leveraging Federated Learning (FL) to enhance privacy, scalability, and adaptability
research note
The paper introduces the IMPROVE dataset, a novel, large-scale multimodal resource aimed at investigating how mobile phone usage affects learners in remote online education settings
research note
This paper addresses the escalating threat of automated web scanners that perform malicious activities like credential stuffing, command injection, and account hijacking at web scale, causing tens …
