Saad Hossain

Publications

TamperBench: Systematically Stress-Testing LLM Safety Under Fine-Tuning and Tampering

Robustness

We built TamperBench, a unified framework for evaluating the tamper resistance of open-weight LLMs, addressing the lack of standardized benchmarks in this area. It evaluates 21 models across nine attack types with systematic hyperparameter sweeps, covering both safety and utility metrics. Key findings include that jailbreak-tuning is generally the most severe attack and that Triplet is the strongest alignment-stage defense.

February 5, 2026
Date Range

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Research

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Events

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Programs

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