ARE-CAM: An Interpretable Approach to Quantitatively Evaluating the Adversarial Robustness of Deep Models Based on CAM

Zituo Li, Jianbin Sun, Yuqi Qin, Lunhao Ju, Ke-Wei Yang 0001. ARE-CAM: An Interpretable Approach to Quantitatively Evaluating the Adversarial Robustness of Deep Models Based on CAM. In Stevan Rudinac, Alan Hanjalic, Cynthia C. S. Liem, Marcel Worring, Björn Þór Jónsson 0001, Bei Liu, Yoko Yamakata, editors, MultiMedia Modeling - 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29 - February 2, 2024, Proceedings, Part I. Volume 14554 of Lecture Notes in Computer Science, pages 273-285, Springer, 2024. [doi]

Abstract

Abstract is missing.