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Learning Indistinguishable and Transferable Adversarial Examples.

, , , , and . PRCV (4), volume 13022 of Lecture Notes in Computer Science, page 152-164. Springer, (2021)

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Deep Auto-Encoder Based on Supervised Learning for Damaged Face Reconstruction., , , , and . ICIMCS, volume 819 of Communications in Computer and Information Science, page 290-299. Springer, (2017)Learning Coated Adversarial Camouflages for Object Detectors., , , , , , , and . IJCAI, page 891-897. ijcai.org, (2022)Learning Indistinguishable and Transferable Adversarial Examples., , , , and . PRCV (4), volume 13022 of Lecture Notes in Computer Science, page 152-164. Springer, (2021)Pedestrian detection based on multi-convolutional features by feature maps pruning., , , , and . Multimedia Tools Appl., 76 (23): 25079-25089 (2017)DPA: Learning Robust Physical Adversarial Camouflages for Object Detectors., , , , , , and . CoRR, (2021)Making Adversarial Examples More Transferable and Indistinguishable., , , , , and . AAAI, page 3662-3670. AAAI Press, (2022)The Design and Implementation of a SOA-based Educational Resource Services System., , and . GrC, page 869-872. IEEE, (2008)Convolutional Neural Network Simplification Based on Feature Maps Selection., , , , and . ICPADS, page 1207-1210. IEEE Computer Society, (2016)Joint network embedding of network structure and node attributes via deep autoencoder., , , , , and . Neurocomputing, (2022)Enhancing transferability of adversarial examples via rotation-invariant attacks., , , , , and . IET Comput. Vis., 16 (1): 1-11 (2022)