共 50 条
- [41] Interpretability Derived Backdoor Attacks Detection in Deep Neural Networks: Work-in-Progress PROCEEDINGS OF THE 2020 INTERNATIONAL CONFERENCE ON EMBEDDED SOFTWARE (EMSOFT), 2020, : 13 - 14
- [44] Backdoor Attacks on Deep Neural Networks via Transfer Learning from Natural Images APPLIED SCIENCES-BASEL, 2022, 12 (24):
- [46] Poster: Multi-target & Multi-trigger Backdoor Attacks on Graph Neural Networks PROCEEDINGS OF THE 2023 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY, CCS 2023, 2023, : 3570 - 3572
- [49] Automated Segmentation to Make Hidden Trigger Backdoor Attacks Robust against Deep Neural Networks APPLIED SCIENCES-BASEL, 2023, 13 (07):
- [50] Detecting Backdoor Attacks in Black-Box Neural Networks through Hardware Performance Counters 2024 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION, DATE, 2024,