Richard Fang

Orcid: 0009-0009-8104-9917

According to our database1, Richard Fang authored at least 8 papers between 2024 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application Vulnerabilities.
CoRR, March, 2025

Adaptive Attacks Break Defenses Against Indirect Prompt Injection Attacks on LLM Agents.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

2024
Voice-Enabled AI Agents can Perform Common Scams.
CoRR, 2024

Teams of LLM Agents can Exploit Zero-Day Vulnerabilities.
CoRR, 2024

LLM Agents can Autonomously Exploit One-day Vulnerabilities.
CoRR, 2024

LLM Agents can Autonomously Hack Websites.
CoRR, 2024

Removing RLHF Protections in GPT-4 via Fine-Tuning.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

VGX: Large-Scale Sample Generation for Boosting Learning-Based Software Vulnerability Analyses.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024


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