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Making Adversarial Examples More Transferable and Indistinguishable., , , , , and . CoRR, (2020)Instance attack: an explanation-based vulnerability analysis framework against DNNs for malware detection., , , , , , and . PeerJ Comput. Sci., (2023)Mask-guided noise restriction adversarial attacks for image classification., , , , , and . Comput. Secur., (2021)Adversarial Attack via Dual-Stage Network Erosion., , , , , and . CoRR, (2022)Boosting Adversarial Transferability with Shallow-Feature Attack on SAR Images., , , , , , , , and . Remote. Sens., 15 (10): 2699 (2023)AMGmal: Adaptive mask-guided adversarial attack against malware detection with minimal perturbation., , , , , and . Comput. Secur., (April 2023)DPA: Learning Robust Physical Adversarial Camouflages for Object Detectors., , , , , , and . CoRR, (2021)MalPatch: Evading DNN-Based Malware Detection With Adversarial Patches., , , , , and . IEEE Trans. Inf. Forensics Secur., (2024)A data independent approach to generate adversarial patches., , , , and . Mach. Vis. Appl., 32 (3): 67 (2021)Making Adversarial Examples More Transferable and Indistinguishable., , , , , and . AAAI, page 3662-3670. AAAI Press, (2022)