Khalaf, Hadi, Claudio Mayrink Verdun, Alex Oesterling, Himabindu Lakkaraju, and Flavio Calmon. "Inference-Time Reward Hacking in Large Language Models." Advances in Neural Information Processing ...

AI-powered agents achieved penetration-test success rates of up to 69.3% across 300 controlled servers, showing that parts of ...

May 20 (Reuters) - Early fears that Anthropic’s new AI model, Mythos, could dramatically turbocharge hacking are looking overstated a month ⁠after its ⁠release. The company warned at launch in April ...

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Anthropic has seen its fair share of AI models behaving strangely. However, a recent paper details an instance where an AI model turned “evil” during an ordinary training setup. A situation with a ...

Right now, across dark web forums, Telegram channels, and underground marketplaces, hackers are talking about artificial intelligence - but not in the way most people expect. They aren’t debating how ...

The alternative text for this image may have been generated using AI. Previous works on finetuning safety largely target misuse-related finetuning attacks that make models comply with harmful requests ...

May 20 (Reuters) - Early fears that Anthropic’s new AI model, Mythos, could dramatically turbocharge hacking are looking overstated a month after its release. The company warned at launch in April ...

Add Yahoo as a preferred source to see more of our stories on Google. FILE PHOTO: Silhouettes of laptop users are seen next to a screen projection of binary code are seen in this picture illustration ...

Cybersecurity experts say Mythos' hacking threat is overstated, citing existing AI capabilities Mythos improves vulnerability discovery but main challenge is validating and fixing flaws, experts say ...