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Adversarial Training Based Feature Selection., , , and . SciSec, volume 11933 of Lecture Notes in Computer Science, page 92-105. Springer, (2019)Delving into Diversity in Substitute Ensembles and Transferability of Adversarial Examples., , and . ICONIP (3), volume 11303 of Lecture Notes in Computer Science, page 175-187. Springer, (2018)A Way to Explore the Lower Bound of Adversarial Perturbation., , and . BigComp, page 338-341. IEEE, (2020)Scalable Attribution of Adversarial Attacks via Multi-Task Learning., , , , and . CoRR, (2023)Advancing Example Exploitation Can Alleviate Critical Challenges in Adversarial Training., , , , and . ICCV, page 145-154. IEEE, (2023)Transferable Interpolated Adversarial Attack with Random-Layer Mixup., , , and . PAKDD (2), volume 13281 of Lecture Notes in Computer Science, page 224-235. Springer, (2022)Attribution of Adversarial Attacks via Multi-task Learning., , , , and . ICONIP (2), volume 14448 of Lecture Notes in Computer Science, page 81-94. Springer, (2023)Feature-aware transferable adversarial attacks against image classification., , , and . Appl. Soft Comput., (2024)