David Dobre - RankMe

15 papers A* 5Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A generative approach to LLM harmfulness detection with special red flag tokens. CoRR Sophie Xhonneux, David Dobre, Mehrnaz Mohfakhami, Leo Schwinn, Gauthier Gidel
2025	A*	`conf`	Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning. ICLR Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain
2024	J	`jnl`	In-Context Learning Can Re-learn Forbidden Tasks. CoRR Sophie Xhonneux, David Dobre, Jian Tang, Gauthier Gidel, Dhanya Sridhar
2024	J	`jnl`	Learning diverse attacks on large language models for robust red-teaming and safety tuning. CoRR Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain
2024	A*	`conf`	On the Scalability of Certified Adversarial Robustness with Generated Data. NeurIPS Thomas Altstidl, David Dobre, Arthur Kosmala, Bjoern M. Eskofier, Gauthier Gidel, Leo Schwinn
2024	A*	`conf`	Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features. ICML Aleksandr Beznosikov, David Dobre, Gauthier Gidel
2024	A*	`conf`	Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space. NeurIPS Leo Schwinn, David Dobre, Sophie Xhonneux, Gauthier Gidel, Stephan Günnemann
2024	J	`jnl`	Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space. CoRR Leo Schwinn, David Dobre, Sophie Xhonneux, Gauthier Gidel, Stephan Günnemann
2023	—	`conf`	Adversarial Attacks and Defenses in Large Language Models: Old and New Threats. ICBINB Leo Schwinn, David Dobre, Stephan Günnemann, Gauthier Gidel
2023	J	`jnl`	Adversarial Attacks and Defenses in Large Language Models: Old and New Threats. CoRR Leo Schwinn, David Dobre, Stephan Günnemann, Gauthier Gidel
2023	J	`jnl`	Raising the Bar for Certified Adversarial Robustness with Diffusion Models. CoRR Thomas Altstidl, David Dobre, Björn M. Eskofier, Gauthier Gidel, Leo Schwinn
2023	J	`jnl`	Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features. CoRR Aleksandr Beznosikov, David Dobre, Gauthier Gidel
2022	A*	`conf`	Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise. NeurIPS Eduard Gorbunov, Marina Danilova, David Dobre, Pavel E. Dvurechenskii, Alexander V. Gasnikov, Gauthier Gidel
2022	J	`jnl`	Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise. CoRR Eduard Gorbunov, Marina Danilova, David Dobre, Pavel E. Dvurechensky, Alexander V. Gasnikov, Gauthier Gidel
2022	J	`jnl`	Dissecting adaptive methods in GANs. CoRR Samy Jelassi, David Dobre, Arthur Mensch, Yuanzhi Li, Gauthier Gidel