In-depth reading notes on recent security research — CAPTCHA, browser & device fingerprinting, bot detection, behavioural biometrics, and ad-fraud. We dig into the methodology, threat model, and what each result actually means for production defenses.
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This paper addresses the largely overlooked cryptographic security risks present in embodied AI (EAI) mobile applications, which serve as critical control-path components bridging users, cloud serv…
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This paper explores the application of deep reinforcement learning (RL) to augment game AI in large-scale commercial AAA titles, specifically EA SPORTS FC 25 and Battlefield 6
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This paper focuses on acoustic-to-articulatory inversion (AAI), a challenging problem of estimating continuous vocal tract movements from acoustic speech signals
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This paper addresses a fundamental inefficiency in how large language model (LLM) agents interact with web services to execute multi-step, procedural workflows
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This paper introduces CUPID, a novel Person-of-Interest (POI) video deepfake detection method that leverages 3D Morphable Model (3DMM)-based UV texture maps combined with a Masked Autoencoder (MAE)…
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This work addresses the intertwined problems of algorithmic bias and insufficient subgroup representation in machine learning datasets, specifically focusing on intersectional groups defined by mul…
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This qualitative study investigates how Muslim women engage with digital Islamic learning tools, particularly apps focusing on the Qur'an, Hadith, and Seerah
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This paper introduces Easy Reads, an open-source Python tool designed to enhance the readability and accessibility of scientific papers hosted on arXiv by transforming their default dense formattin…
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This paper addresses the persistent market access challenges faced by smallholder maize farmers in Uganda, including weak bargaining power, low price transparency, reliance on intermediaries, poor …
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FreeStyle addresses the challenging problem of style-content dual-reference image generation, where a synthesized image must preserve the content and structure of a content reference image while ad…
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Neutral atom quantum computers (NAQC) hold promise due to long qubit coherence, flexible layouts, and native multi-qubit gates
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This work tackles the challenge of multi-objective molecular discovery under computational restrictions and data scarcity by introducing an interpretable and data-efficient meta-learning framework …
Notes summarise publicly available security research preprints. Figures are reproduced for academic discussion; copyright remains with the original authors. If you are an author and want a note revised or removed, email [email protected].
