Zhen Xiang
Orcid: 0000-0002-4284-2041
According to our database1,
Zhen Xiang
authored at least 44 papers
between 2003 and 2025.
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Bibliography
2025
Neurocomputing, 2025
2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
MM-BD: Post-Training Detection of Backdoor Attacks with Arbitrary Backdoor Pattern Types Using a Maximum Margin Statistic.
Proceedings of the IEEE Symposium on Security and Privacy, 2024
Improved Activation Clipping for Universal Backdoor Mitigation and Test-Time Detection.
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
CoRR, 2023
Swift: A modern highly-parallel gravity and smoothed particle hydrodynamics solver for astrophysical and cosmological applications.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023
Proceedings of the International Conference on Machine Learning, 2023
Training Set Cleansing of Backdoor Poisoning by Self-Supervised Representation Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Training set cleansing of backdoor poisoning by self-supervised representation learning.
CoRR, 2022
Velocity-Free Distributed Robust Nash Equilibrium Seeking By An Uncertainty and Disturbance Estimator Based Algorithm.
Proceedings of the IECON 2022, 2022
Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Distributed Robust Nash Equilibrium Seeking for Double-Integrator-Type Players Without Velocity Measurements.
Proceedings of the 13th Asian Control Conference, 2022
2021
Detecting Scene-Plausible Perceptible Backdoors in Trained DNNs Without Access to the Training Set.
Neural Comput., 2021
Reverse engineering imperceptible backdoor attacks on deep neural networks for detection and training set cleansing.
Comput. Secur., 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
L-Red: Efficient Post-Training Detection of Imperceptible Backdoor Attacks Without Access to the Training Set.
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
Determination of Planetary Boundary Layer height with Lidar Signals Using Maximum Limited Height Initialization and Range Restriction (MLHI-RR).
Remote. Sens., 2020
Adversarial Learning Targeting Deep Neural Network Classification: A Comprehensive Review of Defenses Against Attacks.
Proc. IEEE, 2020
Multimedia resource allocation strategy of wireless sensor networks using distributed heuristic algorithm in cloud computing environment.
Multim. Tools Appl., 2020
Revealing Perceptible Backdoors in DNNs, Without the Training Set, via the Maximum Achievable Misclassification Fraction Statistic.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020
Revealing Backdoors, Post-Training, in DNN Classifiers via Novel Inference on Optimized Perturbations Inducing Group Misclassification.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
A Scalable Mixture Model Based Defense Against Data Poisoning Attacks on Classifiers.
Proceedings of the Dynamic Data Driven Applications Systems, 2020
2019
Revealing Perceptible Backdoors, without the Training Set, via the Maximum Achievable Misclassification Fraction Statistic.
CoRR, 2019
Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks.
CoRR, 2019
A Benchmark Study Of Backdoor Data Poisoning Defenses For Deep Neural Network Classifiers And A Novel Defense.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019
2018
A Mixture Model Based Defense for Data Poisoning Attacks Against Naive Bayes Spam Filters.
CoRR, 2018
Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018
2009
Slope Perception from Monoscopic Field Images: Applications to Mobile Robot Navigation.
J. Intell. Robotic Syst., 2009
2008
Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008
2006
Proceedings of the 2006 TREC Video Retrieval Evaluation, 2006
2003
NGG: A Service-Oriented Application Grid Architecture for National Geological Survey.
Proceedings of the Grid and Cooperative Computing, Second International Workshop, 2003