Correcting the distribution of batch normalization signals for Trojan mitigation.
Neurocomputing, 2025
BIC-Based Mixture Model Defense Against Data Poisoning Attacks on Classifiers: A Comprehensive Study.
IEEE Trans. Knowl. Data Eng., 2024
Universal Post-Training Reverse-Engineering Defense Against Backdoors in Deep Neural Networks.
CoRR, 2024
Temporal-Distributed Backdoor Attack against Video Based Action Recognition.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Backdoor Mitigation by Correcting the Distribution of Neural Activations.
CoRR, 2023
A BIC-Based Mixture Model Defense Against Data Poisoning Attacks on Classifiers.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023
Detecting Backdoor Attacks against Point Cloud Classifiers.
Proceedings of the IEEE International Conference on Acoustics, 2022
Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2022
Backdoor Attack and Defense for Deep Regression.
CoRR, 2021
Robust and Active Learning for Deep Neural Network Regression.
CoRR, 2021
A Backdoor Attack against 3D Point Cloud Classifiers.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
A Scalable Mixture Model Based Defense Against Data Poisoning Attacks on Classifiers.
Proceedings of the Dynamic Data Driven Applications Systems, 2020