David Dobre

According to our database, David Dobre authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A generative approach to LLM harmfulness detection with special red flag tokens.

Sophie Xhonneux, David Dobre, Mehrnaz Mohfakhami, Leo Schwinn, Gauthier Gidel

CoRR, February, 2025

Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning.

Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

In-Context Learning Can Re-learn Forbidden Tasks.

Sophie Xhonneux, David Dobre, Jian Tang, Gauthier Gidel, Dhanya Sridhar

CoRR, 2024

Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space.

Leo Schwinn, David Dobre, Sophie Xhonneux, Gauthier Gidel, Stephan Günnemann

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

On the Scalability of Certified Adversarial Robustness with Generated Data.

Thomas Altstidl, David Dobre, Arthur Kosmala, Bjoern M. Eskofier, Gauthier Gidel, Leo Schwinn

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features.

Aleksandr Beznosikov, David Dobre, Gauthier Gidel

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Raising the Bar for Certified Adversarial Robustness with Diffusion Models.

Thomas Altstidl, David Dobre, Björn M. Eskofier, Gauthier Gidel, Leo Schwinn

CoRR, 2023

Adversarial Attacks and Defenses in Large Language Models: Old and New Threats.

Leo Schwinn, David Dobre, Stephan Günnemann, Gauthier Gidel

Proceedings of the Proceedings on "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops, 2023

2022

Dissecting adaptive methods in GANs.

Samy Jelassi, David Dobre, Arthur Mensch, Yuanzhi Li, Gauthier Gidel

CoRR, 2022

Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise.

Eduard Gorbunov, Marina Danilova, David Dobre, Pavel E. Dvurechenskii, Alexander V. Gasnikov, Gauthier Gidel

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022