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Queen鈥檚 University, Canada
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Achieving near-random watermark removal accuracy without sacrificing image quality, MarkNull challenges the robustness of current digital watermarking techniques.
LoginTrap exposes a staggering 86% success rate for phishing-style attacks on LLM-based web agents, revealing a gaping hole in authentication security.
Unsupervised RL for math reasoning hinges on a model's pre-existing logical abilities, and its success can be predicted by whether the training trajectory stays within stable "manifolds" of good solutions.
AI-generated image watermarks are surprisingly brittle: a new attack, MarkSweep, wipes them out by strategically amplifying and denoising high-frequency noise.
