Papers by Nishita Jain
Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts (2026.acl-long)
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| Challenge: | Existing approaches to audit Large Language Models (LLMs) lack mechanisms to efficiently adapt to model-specific vulnerabilities at inference. |
| Approach: | They propose a red-teaming framework that adapts online to identify and exploit model failure modes under distinct attack styles. |
| Outcome: | The proposed framework outperforms state-of-the-art methods on AdvBench and HarmBench, while generating more human-readable adversarial prompts (lower perplexity). |