Supervised Mixup: Protecting the Likely Classes for Adversarial Robustness

Akshay Agarwal 0001, Mayank Vatsa, Richa Singh 0001, Nalini K. Ratha. Supervised Mixup: Protecting the Likely Classes for Adversarial Robustness. In Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu 0001, Saumik Bhattacharya, Umapada Pal 0001, editors, Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part V. Volume 15305 of Lecture Notes in Computer Science, pages 30-45, Springer, 2024. [doi]

Abstract

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