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Adversarial Examples: Attacks and Defenses for Deep Learning
IEEE Transactions on Neural Networks and Learning Systems, 2019Xiaolin Li, Pan He, Qile Zhu
exaly
LESSON: Multi-Label Adversarial False Data Injection Attack for Deep Learning Locational Detection
IEEE Transactions on Dependable and Secure ComputingJiwei Tian, Xiaofang Xia, Chenhao Lin
exaly
BlackboxBench: A Comprehensive Benchmark of Black-Box Adversarial Attacks
IEEE Transactions on Pattern Analysis and Machine IntelligenceBaoyuan Wu, Zihao Zhu, Meixi Zheng
exaly
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models against Adversarial Attacks
ACM Computing SurveysSongtao Guo, Yuanyuan Yang, Bin Xiao
exaly

