Matan Ben-Tov (@matanbt) profile picture

CS PhD student @TelAvivUni. Intern @google. Interested in buzzwords like AI and Security, and wherever they meet.

Joined October 2009
Photo by Matan Ben-Tov (@matanbt)Photo by Matan Ben-Tov (@matanbt)Photo by Matan Ben-Tov (@matanbt)Photo by Matan Ben-Tov (@matanbt)Photo by Matan Ben-Tov (@matanbt)Photo by Matan Ben-Tov (@matanbt)Photo by Matan Ben-Tov (@matanbt)Photo by Matan Ben-Tov (@matanbt)Photo by Matan Ben-Tov (@matanbt)Photo by Matan Ben-Tov (@matanbt)
Discrete trigger optimizers (eg GCG) are extremely useful in NLP security (eg LLM jailbreaks), but in practice it's an engineering mess. Introducing TROPT: a powerful framework housing 15+ popular optimizers, ready to use against any objective (!) and any model (!!) 🧵
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We found Claude Code's safety classifier (Auto Mode) can be nullified by a short, universal prompt injection in a repo's AGENTS.md -- making it approve unsafe (`rm -rf /`) and user-forbidden commands. 🧵
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Overall, this attack highlights: (1) the risk of untrusted sources entering the context of safety-critical LLMs; (2) the importance of adaptive security evaluations; (3) the brittleness of LLM-based classifiers. Regardless of guardrails, sandbox your agents 🤖
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Excited to share that TROPT has been accepted to NeurIPS 2026 (E&D Track)! 🥳 If you're using discrete text optimization methods for jailbreak / other tasks, check it out 👇
Discrete trigger optimizers (eg GCG) are extremely useful in NLP security (eg LLM jailbreaks), but in practice it's an engineering mess. Introducing TROPT: a powerful framework housing 15+ popular optimizers, ready to use against any objective (!) and any model (!!) 🧵
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We can finally talk about it: We found a way to extract hidden reasoning of frontier models using a vulnerability in the APIs of every frontier AI company. We verified that our reasoning token count matches billed API thinking tokens 1:1 for most of the prompts we queried.
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I'll be in San Diego for #ACL2026 🇺🇸, presenting our TACL work on LLM jailbreaks through mech interp lens: Universal Jailbreak Suffixes Are Strong Attention Hijackers @mahmoods01 @megamor2 📍Jul 5 14:00-14:10, Harbor D (Oral Session) If you're interested in NLP security, mech interp, or leveraging discrete input optimizers for various uses, let's chat! 🌊
What makes or breaks powerful jailbreak suffixes? 🔓🤖 We find that: 🥷 they work by hijacking the model’s context; ♾️ the more universal a suffix is the stronger its hijacking; ⚔️🛡️ utilizing these insights, it is possible to both enhance and mitigate these attacks. 🧵
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Matan Ben-Tov retweeted
Here we go! ✈️ 🇺🇸🇰🇷 If you're attending #ACL2026 and/or #ICML2026 check out recent work from our group with collaborators: 📍Jul 5 14:00-15:30: Matan will present his TACL work "Universal Jailbreak Suffixes Are Strong Attention Hijackers" @matanbt @mahmoods01 arxiv.org/abs/2506.12880 📍Jul 5 16:00-17:30: My student Or will show how matrix factorization can reveal compositional neuron groups and hierarchies in MLPs. @OrShafran arxiv.org/abs/2506.10920 📍Jul 6 9:00-10:30: Tomer will talk about "MoNaCo: More Natural and Complex Questions for Reasoning Across Dozens of Documents" @TomerWolfson arxiv.org/abs/2508.11133 📍Jul 7 14:00-15:45: Hadas will present our position: "Interpretability Can Be Actionable" @OrgadHadas arxiv.org/abs/2605.11161 (will also appear at the MI workshop) 📍Jul 8 10:30-12:15: I will be presenting a position work with @_galyo and @ymatias on metacognition as a way to move beyond hallucinations arxiv.org/abs/2605.01428 📍Jul 9 17:00-18:45: Or (after a transpacific flight from ACL) will present MFA: an unsupervised approach to disentangle representations of LLMs at scale using local geometry @OrShafran arxiv.org/abs/2602.02464 (will also appear at the MI workshop)
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Huge thanks to @mahmoods01 for guiding me on this project. I've long worked on this repo, and am very excited to see how it’ll be used! I intend to keep growing it and iterate on it in light of any future community feedback -- do feel free to reach out and contribute!
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