Training with More Confidence: Mitigating Injected and Natural Backdoors During Training

von Wang, Zhenting
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 47 of 50 (2023)

Rethinking the Reverse-engineering of Trojan Triggers

von Wang, Zhenting
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 13 of 50 (2023)

UISCOPE: Accurate, Instrumentation-free, and Visible Attack Investigation for GUI Applications

von Yang, Runging
Veröffentlicht in Network and Distributed System Security Symposium (28. : 2021 : Online) Network and Distributed System Security Symposium 2021 (NDSS'21) ; Volume 2 of 2 (2021)

UISCOPE: ACCURATE, INSTRUMENTATION-FREE, AND VISIBLE ATTACK INVESTIGATION FOR GUI APPLICATIONS

von Yang, Runqing
Veröffentlicht in Network and Distributed System Security Symposium (27. : 2020 : San Diego, Calif.) Network and Distributed System Security Symposium 2020 ; Volume 2 of 2 (2020)

Constrained Optimization with Dynamic Bound-Scaling for Effective NLP Backdoor Defense

von Shen, Guangyu
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 24 of 33 (2023)

BACKDOOR SCANNING FOR DEEP NEURAL NETWORKS THROUGH K-ARM OPTIMIZATION

von SHEN, GUANGYU
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 12 of 16 (2022)