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bmislav

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OpenAI o3-mini scores 78% on yesterday's AIME 2025 math competition

matharena.ai
3 points·by bmislav·anno scorso·0 comments

AI CTF: Extracting Password from an AI Agent

invariantlabs.ai
1 points·by bmislav·2 anni fa·0 comments

What we've learned from analyzing hundreds of AI web agent traces

invariantlabs.ai
2 points·by bmislav·2 anni fa·0 comments

LLMs can threaten privacy at scale by inferring personal data from benign texts

llm-privacy.org
11 points·by bmislav·3 anni fa·0 comments

comments

bmislav
·3 anni fa·discuss
These vulnerabilities are now documented in the LVE Repository: https://lve-project.org/trust/guards/suffix_attack/hf-meta--...
bmislav
·3 anni fa·discuss
We actually recently published a research paper on exactly this topic (see https://llm-privacy.org/ for demo and paper). The paper shows that current LLMs already have the reasoning capability to infer personal attributes such as age, gender or location even when this information is not explicitly mentioned in the text. Crucially, they can do this way cheaper and way faster than humans. So I would say that spying scenarios mentioned in this blog post are definitely in the realm of possibility.