b0sungk1m/tamperbench-quantization-qwen3-4b

Motivation TamperBench evaluates explicit tampering attacks (LoRA fine-tuning, jailbreak-tuning, etc.) on LLM safety guards. Catastrophic Failure of LLM Unlearning via Quantization shows that quantization can undo safety-trained behaviors.

This experiment bridges these two lines of work by adding quantization as a deployment-realistic perturbation to the TamperBench evaluation protocol. We… See the full description on the dataset page: huggingface.co/datasets/b0sungk1m/tamperbench-quantization-qwen3-4b.