Louis DiValentin

According to our database, Louis DiValentin authored at least 6 papers between 2021 and 2024.

Collaborative distances:

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

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

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