Papers by Akul Gupta
Teams of LLM Agents can Exploit Zero-Day Vulnerabilities (2026.eacl-long)
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| Challenge: | Existing frameworks for LLM agents fail to exploit real-world zero-day vulnerabilities . prior work has shown that simple agents can hack mock "capture-the-flag" websites . |
| Approach: | They propose a system of agents with a planning agent that can launch subagents to exploit real-world vulnerabilities. |
| Outcome: | The proposed framework improves over previous frameworks by up to 4.3 on 14 real-world vulnerabilities. |
Removing RLHF Protections in GPT-4 via Fine-Tuning (2024.naacl-short)
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| Challenge: | Large language models (LLMs) have increased in their capabilities, which increases their potential for dual use. |
| Approach: | They show that fine-tuning can remove RLHFprotections with as few as 340 examples and a 95% success rate. |
| Outcome: | The proposed method removes RLHFprotections with as few as 340 examples and a 95% success rate on non-censored outputs. |