共 50 条
- [21] Benchmarking Backdoor Attacks on Graph Convolution Neural Networks: A Comprehensive Analysis of Poisoning Techniques SECURITY, PRIVACY, AND APPLIED CRYPTOGRAPHY ENGINEERING, SPACE 2024, 2025, 15351 : 149 - 174
- [22] Key Substructure-Driven Backdoor Attacks on Graph Neural Networks ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING-ICANN 2024, PT V, 2024, 15020 : 159 - 174
- [24] Detecting Backdoor Attacks via Class Difference in Deep Neural Networks IEEE ACCESS, 2020, 8 : 191049 - 191056
- [25] Backdoor Attacks against Deep Neural Networks by Personalized Audio Steganography 2022 26TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2022, : 68 - 74
- [26] An Overview of Backdoor Attacks Against Deep Neural Networks and Possible Defences IEEE OPEN JOURNAL OF SIGNAL PROCESSING, 2022, 3 : 261 - 287
- [27] STRIP: A Defence Against Trojan Attacks on Deep Neural Networks 35TH ANNUAL COMPUTER SECURITY APPLICATIONS CONFERENCE (ACSA), 2019, : 113 - 125
- [28] Backdoor Attacks and Defenses for Deep Neural Networks in Outsourced Cloud Environments IEEE NETWORK, 2020, 34 (05): : 141 - 147