Louis DiValentin

According to our database, Louis DiValentin authored at least 10 papers between 2021 and 2025.

Collaborative distances:

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

2025

SafeTy Reasoning Elicitation Alignment for Multi-Turn Dialogues.

Martin Kuo, Jianyi Zhang, Aolin Ding, Louis DiValentin, Amin Hass, Benjamin F. Morris III, Isaac Jacobson, Randolph Linderman, James Kiessling, Nicolas Ramos, Bhavna Gopal, Maziyar Baran Pouyan, Changwei Liu, Hai Li, Yiran Chen

CoRR, June, 2025

H-CoT: Hijacking the Chain-of-Thought Safety Reasoning Mechanism to Jailbreak Large Reasoning Models, Including OpenAI o1/o3, DeepSeek-R1, and Gemini 2.0 Flash Thinking.

Martin Kuo, Jianyi Zhang, Aolin Ding, Qinsi Wang, Louis DiValentin, Yujia Bao, Wei Wei, Hai Li, Yiran Chen

CoRR, February, 2025

Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility.

Martin Kuo, Jingyang Zhang, Jianyi Zhang, Minxue Tang, Louis DiValentin, Aolin Ding, Jingwei Sun, William Chen, Amin Hass, Tianlong Chen, Yiran Chen, Hai Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

FedProphet: Memory-Efficient Federated Adversarial Training via Theoretic-Robustness and Low-Inconsistency Cascade Learning.

Minxue Tang, Yitu Wang, Jingyang Zhang, Louis DiValentin, Aolin Ding, Amin Hass, Yiran Chen, Hai (Helen) Li

CoRR, 2024

Profile of Vulnerability Remediations in Dependencies Using Graph Analysis.

Fernando Vera, Palina Pauliuchenka, Ethan Oh, Bai Chien Kao, Louis DiValentin, David A. Bader

CoRR, 2024

ModelGuard: Information-Theoretic Defense Against Model Extraction Attacks.

Minxue Tang, Anna Dai, Louis DiValentin, Aolin Ding, Amin Hass, Neil Zhenqiang Gong, Yiran Chen, Hai (Helen) Li

Proceedings of the 33rd USENIX Security Symposium, 2024

Graph-Based Profiling of Dependency Vulnerability Remediation.

Fernando Vera Buschmann, Palina Pauliuchenka, Ethan Oh, Bai Chien Kao, Louis DiValentin, David A. Bader

Proceedings of the Science of Cyber Security - 6th International Conference, 2024

Build a Computationally Efficient Strong Defense Against Adversarial Example Attacks.

Changwei Liu, Louis DiValentin, Aolin Ding, Malek Ben Salem

Proceedings of the 10th International Conference on Information Systems Security and Privacy, 2024

2022

FADE: Enabling Large-Scale Federated Adversarial Training on Resource-Constrained Edge Devices.

Minxue Tang, Jianyi Zhang, Mingyuan Ma, Louis DiValentin, Aolin Ding, Amin Hassanzadeh, Hai Helen Li, Yiran Chen

CoRR, 2022

2021

FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective.

Jingwei Sun, Ang Li, Louis DiValentin, Amin Hassanzadeh, Yiran Chen, Hai Li

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021