Maksym Andriushchenko

@maksym-andr.bsky.social

Faculty at ‪the ELLIS Institute Tübingen and Max Planck Institute for Intelligent Systems. Leading the AI Safety and Alignment group. PhD from EPFL supported by Google & OpenPhil PhD fellowships. More details: https://www.andriushchenko.me/

📣 Incredibly excited to participate in writing the International AI Safety Report, chaired by Yoshua Bengio, as chapter lead for the capabilities chapter! ⚖️ AI is progressing so rapidly that yearly updates are no longer sufficient. 1/3

Yoshua Bengio@yoshuabengio.bsky.social · 11mo ago

AI is evolving too quickly for an annual report to suffice. To help policymakers keep pace, we're introducing the first Key Update to the International AI Safety Report. 🧵⬇️ (1/10)

🚨Excited to release OS-Harm! 🚨 The safety of computer use agents has been largely overlooked. We created a new safety benchmark based on OSWorld for measuring 3 broad categories of harm: 1. deliberate user misuse, 2. prompt injections, 3. model misbehavior.

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🚨Excited to share our new work! 1. Not only GPT-4 but also other frontier LLMs have memorized the same set of NYT articles from the lawsuit. 2. Very large models, particularly with >100B parameters, have memorized significantly more. 🧵1/n

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📢 I'll be at NeurIPS 🇨🇦 from Tuesday to Sunday! Let me know if you're also coming and want to meet. Would love to discuss anything related to AI safety/generalization. Also, I'm on the academic job market, so would be happy to discuss that as well! My application package: andriushchenko.me. 🧵1/4

Maksym Andriushchenko

I'm a PhD student in computer science at EPFL advised by Nicolas Flammarion. I'm interested in understanding why machine learning works and why it fails.

andriushchenko.me

Mindblowing: EPFL PhD student @maksym-andr.bsky.social, winner of best CS thesis award, showed that leading hashtag#AI models are not robust to simple adaptive jailbreaking attacks. Indeed, he managed to jailbraik all models with a 100% success rate 🤯 Jailbraking paper: arxiv.org/abs/2404.02151

Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks

We show that even the most recent safety-aligned LLMs are not robust to simple adaptive jailbreaking attacks. First, we demonstrate how to successfully leverage access to logprobs for jailbreaking: we...

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