共 50 条
- [1] Disentangling Adversarial Robustness and Generalization 2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019), 2019, : 6969 - 6980
- [2] Exploring Robustness Connection between Artificial and Natural Adversarial Examples 2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW 2022, 2022, : 178 - 185
- [3] Adversarial Minimax Training for Robustness Against Adversarial Examples NEURAL INFORMATION PROCESSING (ICONIP 2018), PT II, 2018, 11302 : 690 - 699
- [4] EXPLOITING DOUBLY ADVERSARIAL EXAMPLES FOR IMPROVING ADVERSARIAL ROBUSTNESS 2022 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, 2022, : 1331 - 1335
- [5] On the robustness of randomized classifiers to adversarial examples Machine Learning, 2022, 111 : 3425 - 3457
- [6] On the Robustness of Vision Transformers to Adversarial Examples 2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2021), 2021, : 7818 - 7827
- [7] Effect of adversarial examples on the robustness of CAPTCHA 2018 INTERNATIONAL CONFERENCE ON CYBER-ENABLED DISTRIBUTED COMPUTING AND KNOWLEDGE DISCOVERY (CYBERC 2018), 2018, : 1 - 10
- [9] On Robustness to Adversarial Examples and Polynomial Optimization ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), 2019, 32
- [10] On the Role of Generalization in Transferability of Adversarial Examples UNCERTAINTY IN ARTIFICIAL INTELLIGENCE, 2023, 216 : 2259 - 2270