Our code is open-sourced! We welcome the addition of new defenses and metrics. 🔗 Paper: arxiv.org/pdf/2602.06911 💿 Code: github.com/criticalml-u... 8/9
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Sirisha Rambhatla
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Researcher with public evidence across AI research, AI business.
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Assistant Professor and Director of Critical ML@ WaterlooENG | Postdoc @ CS USCViterbi | PhD @ UMN | Representation Learning | AI for Manufacturing & Ops | AI for Health | Theory-guided ML for the Real-World |Views Personal |
https://sirisharambhatla.com/
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How easy is it to tamper LLMs? Our latest work (set to appear at #KDD 2026 D&B) stress-tests 21 open-weight LLMs and against SOTA attacks and defenses, and makes it easy for the community to benchmark. TL;DR All LLMs are vulnerable. More info in this thread 🔥 1/9
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