A continual learning framework to train robust image recognition models by adversarial training and knowledge distillation

Author:

Chou Ting-Chun1,Kuo Yu-Cheng1,Huang Jhih-Yuan1,Lee Wei-Po1

Affiliation:

1. Department of Information Management, National Sun Yat-sen University, Kaohsiung, Taiwan

Funder

National Science and Technology Council of Taiwan

Publisher

Informa UK Limited

Reference49 articles.

1. Adversarial example detection for DNN models: a review and experimental comparison

2. Cai Q. Z. Du M. Liu C. & Song D. (2018). Curriculum adversarial training. arXiv preprint arXiv:1805.04807v1.

3. Continual learning with adversarial training to enhance robustness of image recognition models;Chou T.-C.;Proceedings of the 21st International Conference on Cyberworlds,2022

4. Continual learning for recurrent neural networks: An empirical evaluation

5. Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks;Croce F.;Proceedings of the 37th International Conference on Machine Learning,2020

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