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Bhrugu Bharathi

2 accepted papers

2025

Tamper-Resistant Safeguards for Open-Weight LLMs

ICLR 2025poster

Rapid advances in the capabilities of large language models (LLMs) have raised widespread concerns regarding their potential for malicious use. Open-weight LLMs present unique challenges, as existing safeguards lack robustness to tampering attacks that modify model weights. For example, recent works…

2024

The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning

ICML 2024poster

The White House Executive Order on Artificial Intelligence highlights the risks of large language models (LLMs) empowering malicious actors in developing biological, cyber, and chemical weapons. To measure these risks, government institutions and major AI labs are developing evaluations for hazardou…

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