Papers by Dinuka Sahabandu
CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models (2024.emnlp-main)
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Yuetai Li, Zhangchen Xu, Fengqing Jiang, Luyao Niu, Dinuka Sahabandu, Bhaskar Ramasubramanian, Radha Poovendran
| Challenge: | Generative large language models (LLMs) have remarkable performance in generation tasks, but datasets used to train or fine-tune these models are often not disclosed to users. |
| Approach: | They develop an inference time defense called CleanGen to mitigate backdoor attacks for generation tasks in large language models. |
| Outcome: | The proposed inference time defense achieves lower attack success rates (ASR) compared to baseline defenses for all five backdoor attacks. |