共 50 条
- [1] Why is Your Trojan NOT Responding? A Quantitative Analysis of Failures in Backdoor Attacks of Neural Networks ALGORITHMS AND ARCHITECTURES FOR PARALLEL PROCESSING, ICA3PP 2021, PT III, 2022, 13157 : 754 - 771
- [2] Backdoor Attacks to Graph Neural Networks PROCEEDINGS OF THE 26TH ACM SYMPOSIUM ON ACCESS CONTROL MODELS AND TECHNOLOGIES, SACMAT 2021, 2021, : 15 - 26
- [4] Backdoor smoothing: Demystifying backdoor attacks on deep neural networks Computers and Security, 2022, 120
- [5] A Survey of Backdoor Attacks and Defenses on Neural Networks Jisuanji Xuebao/Chinese Journal of Computers, 2024, 47 (08): : 1713 - 1743
- [6] Latent Backdoor Attacks on Deep Neural Networks PROCEEDINGS OF THE 2019 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (CCS'19), 2019, : 2041 - 2055
- [7] Verifying Neural Networks Against Backdoor Attacks COMPUTER AIDED VERIFICATION (CAV 2022), PT I, 2022, 13371 : 171 - 192
- [8] Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks 2019 IEEE SYMPOSIUM ON SECURITY AND PRIVACY (SP 2019), 2019, : 707 - 723
- [9] Watermarking Graph Neural Networks based on Backdoor Attacks 2023 IEEE 8TH EUROPEAN SYMPOSIUM ON SECURITY AND PRIVACY, EUROS&P, 2023, : 1179 - 1197
- [10] Attacking Neural Networks with Neural Networks: Towards Deep Synchronization for Backdoor Attacks PROCEEDINGS OF THE 32ND ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2023, 2023, : 608 - 618