Improving adversarial robustness of deep neural networks by using semantic information
Knowledge-Based Systems, 2021Xingshu Chen, Rui Tang, Yawei Yue
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Towards Evaluating the Robustness of Adversarial Attacks Against Image Scaling Transformation
Chinese Journal of Electronics, 2023Jiamin Zheng +2 more
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Scaleable input gradient regularization for adversarial robustness
Machine Learning With Applications, 2021Chris Finlay, Adam M Oberman
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A Survey of Robustness and Safety of 2D and 3D Deep Learning Models against Adversarial Attacks
ACM Computing SurveysYanjie Li, Bin Xie, Songtao Guo
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Adversarial Robustness of Neural Networks from the Perspective of Lipschitz Calculus: A Survey
ACM Computing SurveysDaniel Kudenko
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Mitigating Accuracy-Robustness Trade-Off via Balanced Multi-Teacher Adversarial Distillation
IEEE Transactions on Pattern Analysis and Machine IntelligenceShiji Zhao, Xingxing Wei
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Robust Aggregation with Adversarial Experts
Proceedings of the ACM on Web Conference 2025Yongkang Guo, Yuqing Kong
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Analysis of classifiers’ robustness to adversarial perturbations
Machine Learning, 2017Omar Fawzi +2 more
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It Is All about Data: A Survey on the Effects of Data on Adversarial Robustness
ACM Computing SurveysPeiyu Xiong +2 more
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On the Adversarial Robustness of Hierarchical Classification
2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)Ran Wang 0001 +5 more
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