Louis DiValentin

13 papers A* 3C 1Journal 7Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	FedProphet: Memory-Efficient Federated Adversarial Training via Robust and Consistent Cascade Learning. MLSys Minxue Tang, Yitu Wang, Jingyang Zhang, Louis DiValentin, Aolin Ding, Amin Hass, Yiran Chen, Hai Li
2025	J	`jnl`	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. CoRR Martin Kuo, Jianyi Zhang, Aolin Ding, Qinsi Wang, Louis DiValentin, Yujia Bao, Wei Wei, Hai Li, Yiran Chen
2025	A*	`conf`	Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility. ICLR Martin Kuo, Jingyang Zhang, Jianyi Zhang, Minxue Tang, Louis DiValentin, Aolin Ding, Jingwei Sun, William Chen, Amin Hass, Tianlong Chen, Yiran Chen, Hai Li
2025	J	`jnl`	Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility. CoRR Martin Kuo, Jingyang Zhang, Jianyi Zhang, Minxue Tang, Louis DiValentin, Aolin Ding, Jingwei Sun, William Chen, Amin Hass, Tianlong Chen, Yiran Chen, Hai Li
2025	J	`jnl`	SafeTy Reasoning Elicitation Alignment for Multi-Turn Dialogues. CoRR 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
2024	C	`conf`	Build a Computationally Efficient Strong Defense Against Adversarial Example Attacks. ICISSP Changwei Liu, Louis DiValentin, Aolin Ding, Malek Ben Salem
2024	J	`jnl`	FedProphet: Memory-Efficient Federated Adversarial Training via Theoretic-Robustness and Low-Inconsistency Cascade Learning. CoRR Minxue Tang, Yitu Wang, Jingyang Zhang, Louis DiValentin, Aolin Ding, Amin Hass, Yiran Chen, Hai (Helen) Li
2024	—	`conf`	Graph-Based Profiling of Dependency Vulnerability Remediation. SciSec Fernando Vera Buschmann, Palina Pauliuchenka, Ethan Oh, Bai Chien Kao, Louis DiValentin, David A. Bader
2024	A*	`conf`	ModelGuard: Information-Theoretic Defense Against Model Extraction Attacks. USENIX Security Symposium Minxue Tang, Anna Dai, Louis DiValentin, Aolin Ding, Amin Hass, Neil Zhenqiang Gong, Yiran Chen, Hai (Helen) Li
2024	J	`jnl`	Profile of Vulnerability Remediations in Dependencies Using Graph Analysis. CoRR Fernando Vera, Palina Pauliuchenka, Ethan Oh, Bai Chien Kao, Louis DiValentin, David A. Bader
2022	J	`jnl`	FADE: Enabling Large-Scale Federated Adversarial Training on Resource-Constrained Edge Devices. CoRR Minxue Tang, Jianyi Zhang, Mingyuan Ma, Louis DiValentin, Aolin Ding, Amin Hassanzadeh, Hai Helen Li, Yiran Chen
2021	A*	`conf`	FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective. NeurIPS Jingwei Sun, Ang Li, Louis DiValentin, Amin Hassanzadeh, Yiran Chen, Hai Li
2021	J	`jnl`	FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective. CoRR Jingwei Sun, Ang Li, Louis DiValentin, Amin Hassanzadeh, Yiran Chen, Hai Li