Towards Adversarially Robust Continual Learning

Towards Adversarially Robust Continual Learning

31 March 2023

Jun Zhao

Papers citing "Towards Adversarially Robust Continual Learning"

7 / 7 papers shown

Title
SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices Zhengyi Zhong Weidong Bao Ji Wang Jianguo Chen Lingjuan Lyu Wei Yang Bryan Lim CLL 41 0 0 01 May 2025
Noise-Tolerant Coreset-Based Class Incremental Continual Learning Edison Mucllari Aswin Raghavan Z. Daniels CLL NoLa 49 0 0 23 Apr 2025
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning Hikmat Khan N. Bouaynaya Ghulam Rasool CLL 36 0 0 22 Apr 2024
Maintaining Adversarial Robustness in Continuous Learning Xiaolei Ru Xiaowei Cao Zijia Liu Jack Murdoch Moore Xin-Ya Zhang Xia Zhu Wenjia Wei Gang Yan AAML 19 1 0 17 Feb 2024
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu C. L. P. Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 83 84 0 27 Jun 2023
Guiding the retraining of convolutional neural networks against adversarial inputs Francisco Durán Silverio Martínez-Fernández Michael Felderer Xavier Franch AAML 14 1 0 08 Jul 2022
Recent Advances in Adversarial Training for Adversarial Robustness Tao Bai Jinqi Luo Jun Zhao B. Wen Qian Wang AAML 71 467 0 02 Feb 2021