A coordinated campaign has been observed targeting a recently disclosed critical-severity vulnerability that has been present ...
Researchers demonstrate that misleading text in the real-world environment can hijack the decision-making of embodied AI systems without hacking their software. Self-driving cars, autonomous robots ...
Sparse Autoencoders (SAEs) have recently gained attention as a means to improve the interpretability and steerability of Large Language Models (LLMs), both of which are essential for AI safety. In ...
Hackers collect $439,250 after exploiting 29 zero-day vulnerabilities on the second day of Pwn2Own Automotive 2026.
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Abstract: With extensive pretrained knowledge and high-level general capabilities, large language models (LLMs) emerge as a promising avenue to augment reinforcement learning (RL) in aspects, such as ...
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