Shengwei An
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
11
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WACV | Mitigating Backdoor Attacks via Trigger Reconstruction and Model Hardening. | Guanhong Tao, Siyuan Cheng, Guangyu Shen, Yingqi Liu, Shengwei An, Zhuo Zhang, Zhenting Wang, Hanxi Guo, Xiangyu Zhang |
| 2025 | EMNLP | Profiler: Black-box AI-generated Text Origin Detection via Context-aware Inference Pattern Analysis. | Hanxi Guo, Siyuan Cheng, Xiaolong Jin, Zhuo Zhang, Guangyu Shen, Kaiyuan Zhang, Shengwei An, Guanhong Tao, Xiangyu Zhang |
| 2025 | NDSS | CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling. | Kaiyuan Zhang, Siyuan Cheng, Guangyu Shen, Bruno Ribeiro, Shengwei An, Pin-Yu Chen, Xiangyu Zhang, Ninghui Li |
| 2025 | SP | BAIT: Large Language Model Backdoor Scanning by Inverting Attack Target. | Guangyu Shen, Siyuan Cheng, Zhuo Zhang, Guanhong Tao, Kaiyuan Zhang, Hanxi Guo, Lu Yan, Xiaolong Jin, Shengwei An, Shiqing Ma, Xiangyu Zhang |
| 2024 | AAAI | Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift. | Shengwei An, Sheng-Yen Chou, Kaiyuan Zhang, Qiuling Xu, Guanhong Tao, Guangyu Shen, Siyuan Cheng, Shiqing Ma, Pin-Yu Chen, Tsung-Yi Ho, Xiangyu Zhang |
| 2024 | AAAI | Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks. | Tong Wang, Yuan Yao, Feng Xu, Miao Xu, Shengwei An, Ting Wang |
| 2024 | ACSAC | Exploring Inherent Backdoors in Deep Learning Models. | Guanhong Tao, Siyuan Cheng, Zhenting Wang, Shiqing Ma, Shengwei An, Yingqi Liu, Guangyu Shen, Zhuo Zhang, Yunshu Mao, Xiangyu Zhang |
| 2024 | CVPR | Lotus: Evasive and Resilient Backdoor Attacks through Sub-Partitioning. | Siyuan Cheng, Guanhong Tao, Yingqi Liu, Guangyu Shen, Shengwei An, Shiwei Feng, Xiangzhe Xu, Kaiyuan Zhang, Shiqing Ma, Xiangyu Zhang |
| 2024 | ECCV | UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening. | Siyuan Cheng, Guangyu Shen, Kaiyuan Zhang, Guanhong Tao, Shengwei An, Hanxi Guo, Shiqing Ma, Xiangyu Zhang |
| 2024 | SP | OdScan: Backdoor Scanning for Object Detection Models. | Siyuan Cheng, Guangyu Shen, Guanhong Tao, Kaiyuan Zhang, Zhuo Zhang, Shengwei An, Xiangzhe Xu, Yingqi Li, Shiqing Ma, Xiangyu Zhang |
| 2024 | SP | Exploring the Orthogonality and Linearity of Backdoor Attacks. | Kaiyuan Zhang, Siyuan Cheng, Guangyu Shen, Guanhong Tao, Shengwei An, Anuran Makur, Shiqing Ma, Xiangyu Zhang |
| 2023 | CVPR | MEDIC: Remove Model Backdoors via Importance Driven Cloning. | Qiuling Xu, Guanhong Tao, Jean Honorio, Yingqi Liu, Shengwei An, Guangyu Shen, Siyuan Cheng, Xiangyu Zhang |
| 2023 | ICLR | FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning. | Kaiyuan Zhang, Guanhong Tao, Qiuling Xu, Siyuan Cheng, Shengwei An, Yingqi Liu, Shiwei Feng, Guangyu Shen, Pin-Yu Chen, Shiqing Ma, Xiangyu Zhang |
| 2023 | NDSS | BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense. | Siyuan Cheng, Guanhong Tao, Yingqi Liu, Shengwei An, Xiangzhe Xu, Shiwei Feng, Guangyu Shen, Kaiyuan Zhang, Qiuling Xu, Shiqing Ma, Xiangyu Zhang |
| 2023 | SP | ImU: Physical Impersonating Attack for Face Recognition System with Natural Style Changes. | Shengwei An, Yuan Yao, Qiuling Xu, Shiqing Ma, Guanhong Tao, Siyuan Cheng, Kaiyuan Zhang, Yingqi Liu, Guangyu Shen, Ian Kelk, Xiangyu Zhang |
| 2022 | CVPR | Better Trigger Inversion Optimization in Backdoor Scanning. | Guanhong Tao, Guangyu Shen, Yingqi Liu, Shengwei An, Qiuling Xu, Shiqing Ma, Pan Li, Xiangyu Zhang |
| 2022 | ECCV | An Invisible Black-Box Backdoor Attack Through Frequency Domain. | Tong Wang, Yuan Yao, Feng Xu, Shengwei An, Hanghang Tong, Ting Wang |
| 2022 | ICML | Constrained Optimization with Dynamic Bound-scaling for Effective NLP Backdoor Defense. | Guangyu Shen, Yingqi Liu, Guanhong Tao, Qiuling Xu, Zhuo Zhang, Shengwei An, Shiqing Ma, Xiangyu Zhang |
| 2022 | NDSS | MIRROR: Model Inversion for Deep LearningNetwork with High Fidelity. | Guanhong Tao, Qiuling Xu, Yingqi Liu, Guangyu Shen, Shengwei An, Jingwei Xu, Xiangyu Zhang, Yuan Yao |
| 2022 | SP | Piccolo: Exposing Complex Backdoors in NLP Transformer Models. | Yingqi Liu, Guangyu Shen, Guanhong Tao, Shengwei An, Shiqing Ma, Xiangyu Zhang |
| 2022 | SP | Model Orthogonalization: Class Distance Hardening in Neural Networks for Better Security. | Guanhong Tao, Yingqi Liu, Guangyu Shen, Qiuling Xu, Shengwei An, Zhuo Zhang, Xiangyu Zhang |
| 2021 | ICML | Backdoor Scanning for Deep Neural Networks through K-Arm Optimization. | Guangyu Shen, Yingqi Liu, Guanhong Tao, Shengwei An, Qiuling Xu, Siyuan Cheng, Shiqing Ma, Xiangyu Zhang |
| 2016 | QRS | Verifying Distributed Controllers with Local Invariants. | Yiqun Wang, Shengwei An, Xiaoxing Ma, Chun Cao, Chang Xu |
| 2015 | QRS | An Event-Based Formal Framework for Dynamic Software Update. | Shengwei An, Xiaoxing Ma, Chun Cao, Ping Yu, Chang Xu |