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 presents a novel modular web-based workflow designed to conduct real-time multimodal experiments on naturalistic online reading.
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This paper addresses the fragmented landscape of post-training adaptation techniques for machine learning models.
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This paper addresses the fundamental challenge of systematically comparing two widely used formal verification tools for security protocols: Tamarin and.
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This paper addresses the challenge of jointly modeling X-ray and soft gamma-ray spectro-polarimetric data, particularly for black hole X-ray binaries like.
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This paper addresses the challenge of building reliable, scalable GUI world models for mobile app agents that interact through pixel perception and touch.
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This paper addresses the challenging task in requirements engineering of automatically translating unstructured natural language (NL) requirements into.
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CalibForge addresses a key challenge in training large language model terminal agents: constructing terminal tasks that are not only executable and.
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This paper critically examines the challenges in evaluating Explainable Artificial Intelligence (XAI) methods, particularly focusing on both static and.
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This paper addresses the persistent problem that higher education institutions tend to identify and respond to student academic struggles only after.
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GeniWorld addresses a critical challenge in robotic manipulation world models: robust generalization and spatially precise action conditioning in diverse.
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This paper investigates the impact of Artificial Intelligence (AI) on individual digital sovereignty within Nigerian mobile e-commerce applications.
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This paper addresses the challenge of quantifying uncertainty in scientific neural surrogate models that often have thousands of correlated parameters.
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].
