Edoardo Debenedetti

According to our database1, Edoardo Debenedetti authored at least 13 papers between 2021 and 2024.

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

Timeline

2021
2022
2023
2024
0
5
10
5
1
5
1
1

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Exploring Memorization and Copyright Violation in Frontier LLMs: A Study of the New York Times v. OpenAI 2023 Lawsuit.
CoRR, 2024

Measuring Non-Adversarial Reproduction of Training Data in Large Language Models.
CoRR, 2024

Adversarial Search Engine Optimization for Large Language Models.
CoRR, 2024

AgentDojo: A Dynamic Environment to Evaluate Attacks and Defenses for LLM Agents.
CoRR, 2024

AI Risk Management Should Incorporate Both Safety and Security.
CoRR, 2024

Privacy Side Channels in Machine Learning Systems.
Proceedings of the 33rd USENIX Security Symposium, 2024

Evading Black-box Classifiers Without Breaking Eggs.
Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024

AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Scaling Compute Is Not All You Need for Adversarial Robustness.
CoRR, 2023

A Light Recipe to Train Robust Vision Transformers.
Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

2021
RobustBench: a standardized adversarial robustness benchmark.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021


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