2025
Correcting the distribution of batch normalization signals for Trojan mitigation.
Neurocomputing, 2025

2024
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

2023
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

2022
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

2021
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

2020
A Scalable Mixture Model Based Defense Against Data Poisoning Attacks on Classifiers.
Proceedings of the Dynamic Data Driven Applications Systems, 2020