Richard Fang

Orcid: 0009-0009-8104-9917

According to our database1, Richard Fang authored at least 9 papers between 2024 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Teams of LLM Agents can Exploit Zero-Day Vulnerabilities.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

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

CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application Vulnerabilities.
Proceedings of the Forty-second International Conference on Machine Learning, 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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