Wei Huang - RankMe

46 papers A* 3A 2B 1Misc 1Journal 35Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EADOD: Ensemble adversarial defense via orthogonal distillation. Knowl. Based Syst. Xinyuan Miao, Mingqi Qiao, Wei Huang, Jiayu Du, Fan Zhang, Jing Zhao, Guangjiao Zhou
2026	J	`jnl`	S2O: Enhancing Adversarial Training with Second-Order Statistics of Weights. CoRR Gaojie Jin, Xinping Yi, Wei Huang, Sven Schewe, Xiaowei Huang
2025	J	`jnl`	A dynamic ensemble learning model for robust Graph Neural Networks. Neural Networks Chenyu Zhou, Yabin Peng, Wei Huang, Xinyuan Miao, Yi Cao, Xinghao Wang, Xianglong Kong
2025	J	`jnl`	Activation Steering Meets Preference Optimization: Defense Against Jailbreaks in Vision Language Models. CoRR Sihao Wu, Gaojie Jin, Wei Huang, Jianhong Wang, Xiaowei Huang
2025	J	`jnl`	BDEKD: mitigating backdoor attacks in NLP models via ensemble knowledge distillation. Complex Intell. Syst. Zijie Zhang, Xinyuan Miao, Chenyu Zhou, Chenming Shang, Xi Chen, Xianglong Kong, Wei Huang, Yi Cao
2025	J	`jnl`	Eidos revisited: Expanding Efficient, imperceptible adversarial attacks on 3D point clouds. J. Syst. Archit. Luo Cheng, Hanwei Zhang, Qisong He, Wei Huang, Renjue Li, Xiaowei Huang, Holger Hermanns, Lijun Zhang
2025	J	`jnl`	Fortifying graph neural networks against adversarial attacks via ensemble learning. Knowl. Based Syst. Chenyu Zhou, Wei Huang, Xinyuan Miao, Yabin Peng, Xianglong Kong, Yi Cao, Xi Chen
2025	A*	`conf`	Risk Controlled Image Retrieval. AAAI Kaiwen Cai, Chris Xiaoxuan Lu, Xingyu Zhao, Wei Huang, Xiaowei Huang
2025	J	`jnl`	S$^{2}$2O: Enhancing Adversarial Training With Second-Order Statistics of Weights. IEEE Trans. Pattern Anal. Mach. Intell. Gaojie Jin, Xinping Yi, Wei Huang, Sven Schewe, Xiaowei Huang
2024	J	`jnl`	A simple framework to enhance the adversarial robustness of deep learning-based intrusion detection system. Comput. Secur. Xinwei Yuan, Shu Han, Wei Huang, Hongliang Ye, Xianglong Kong, Fan Zhang
2024	J	`jnl`	A survey of safety and trustworthiness of large language models through the lens of verification and validation. Artif. Intell. Rev. Xiaowei Huang, Wenjie Ruan, Wei Huang, Gaojie Jin, Yi Dong, Changshun Wu, Saddek Bensalem, Ronghui Mu, Yi Qi, Xingyu Zhao, Kaiwen Cai, Yanghao Zhang, Sihao Wu, Peipei Xu, Dengyu Wu, André Freitas, Mustafa A. Mustafa
2024	J	`jnl`	Correction: Adversarial defence by learning differentiated feature representation in deep ensemble. Mach. Vis. Appl. Xi Chen, Wei Huang, Wei Guo, Fan Zhang, Jiayu Du, Zhizhong Zhou
2024	J	`jnl`	Diversity supporting robustness: Enhancing adversarial robustness via differentiated ensemble predictions. Comput. Secur. Xi Chen, Wei Huang, Ziwen Peng, Wei Guo, Fan Zhang
2024	Misc	`conf`	Eidos: Efficient, Imperceptible Adversarial 3D Point Clouds. SETTA Hanwei Zhang, Luo Cheng, Qisong He, Wei Huang, Renjue Li, Ronan Sicre, Xiaowei Huang, Holger Hermanns, Lijun Zhang
2024	J	`jnl`	Eidos: Efficient, Imperceptible Adversarial 3D Point Clouds. CoRR Hanwei Zhang, Luo Cheng, Qisong He, Wei Huang, Renjue Li, Ronan Sicre, Xiaowei Huang, Holger Hermanns, Lijun Zhang
2024	B	`conf`	Ensemble Adversarial Defense via Integration of Multiple Dispersed Low Curvature Models. IJCNN Kaikang Zhao, Xi Chen, Wei Huang, Liuxin Ding, Xianglong Kong, Fan Zhang
2024	J	`jnl`	Ensemble Adversarial Defense via Integration of Multiple Dispersed Low Curvature Models. CoRR Kaikang Zhao, Xi Chen, Wei Huang, Liuxin Ding, Xianglong Kong, Fan Zhang
2024	J	`jnl`	Formal verification of robustness and resilience of learning-enabled state estimation systems. Neurocomputing Wei Huang, Yifan Zhou, Gaojie Jin, Youcheng Sun, Jie Meng, Fan Zhang, Xiaowei Huang
2024	J	`jnl`	Harnessing dynamic heterogeneous redundancy to empower deep learning safety and security. Secur. Saf. Fan Zhang, Xi Chen, Wei Huang, Jiangxing Wu, Zijie Zhang, Chenyu Zhou, Jianpeng Li, Ziwen Peng, Wei Guo, Guangze Yang, Xinyuan Miao, Ruiyang Huang, Jiayu Du
2024	J	`jnl`	Hierarchical Distribution-aware Testing of Deep Learning. ACM Trans. Softw. Eng. Methodol. Wei Huang, Xingyu Zhao, Alec Banks, Victoria Cox, Xiaowei Huang
2023	J	`jnl`	A Simple Framework to Enhance the Adversarial Robustness of Deep Learning-based Intrusion Detection System. CoRR Xinwei Yuan, Shu Han, Wei Huang, Hongliang Ye, Xianglong Kong, Fan Zhang
2023	J	`jnl`	A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation. CoRR Xiaowei Huang, Wenjie Ruan, Wei Huang, Gaojie Jin, Yi Dong, Changshun Wu, Saddek Bensalem, Ronghui Mu, Yi Qi, Xingyu Zhao, Kaiwen Cai, Yanghao Zhang, Sihao Wu, Peipei Xu, Dengyu Wu, André Freitas, Mustafa A. Mustafa
2023	J	`jnl`	Reliability Assessment and Safety Arguments for Machine Learning Components in System Assurance. ACM Trans. Embed. Comput. Syst. Yi Dong, Wei Huang, Vibhav Bharti, Victoria Cox, Alec Banks, Sen Wang, Xingyu Zhao, Sven Schewe, Xiaowei Huang
2023	A*	`conf`	SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability. ICCV Wei Huang, Xingyu Zhao, Gaojie Jin, Xiaowei Huang
2023	J	`jnl`	What, Indeed, is an Achievable Provable Guarantee for Learning-Enabled Safety Critical Systems. CoRR Saddek Bensalem, Chih-Hong Cheng, Wei Huang, Xiaowei Huang, Changshun Wu, Xingyu Zhao
2023	—	`conf`	What, Indeed, is an Achievable Provable Guarantee for Learning-Enabled Safety-Critical Systems. AISoLA Saddek Bensalem, Chih-Hong Cheng, Wei Huang, Xiaowei Huang, Changshun Wu, Xingyu Zhao
2022	—	`conf`	A Hierarchical HAZOP-Like Safety Analysis for Learning-Enabled Systems. AISafety@IJCAI Yi Qi, Philippa Ryan Conmy, Wei Huang, Xingyu Zhao, Xiaowei Huang
2022	J	`jnl`	A Hierarchical HAZOP-Like Safety Analysis for Learning-Enabled Systems. CoRR Yi Qi, Philippa Ryan Conmy, Wei Huang, Xingyu Zhao, Xiaowei Huang
2022	J	`jnl`	Coverage-Guided Testing for Recurrent Neural Networks. IEEE Trans. Reliab. Wei Huang, Youcheng Sun, Xingyu Zhao, James Sharp, Wenjie Ruan, Jie Meng, Xiaowei Huang
2022	J	`jnl`	Embedding and extraction of knowledge in tree ensemble classifiers. Mach. Learn. Wei Huang, Xingyu Zhao, Xiaowei Huang
2022	A*	`conf`	Enhancing Adversarial Training with Second-Order Statistics of Weights. CVPR Gaojie Jin, Xinping Yi, Wei Huang, Sven Schewe, Xiaowei Huang
2022	J	`jnl`	Enhancing Adversarial Training with Second-Order Statistics of Weights. CoRR Gaojie Jin, Xinping Yi, Wei Huang, Sven Schewe, Xiaowei Huang
2022	J	`jnl`	Hierarchical Distribution-Aware Testing of Deep Learning. CoRR Wei Huang, Xingyu Zhao, Alec Banks, Victoria Cox, Xiaowei Huang
2022	J	`jnl`	SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability. CoRR Wei Huang, Xingyu Zhao, Gaojie Jin, Xiaowei Huang
2021	—	`conf`	Assessing the Reliability of Deep Learning Classifiers Through Robustness Evaluation and Operational Profiles. AISafety@IJCAI Xingyu Zhao, Wei Huang, Alec Banks, Victoria Cox, David Flynn, Sven Schewe, Xiaowei Huang
2021	J	`jnl`	Assessing the Reliability of Deep Learning Classifiers Through Robustness Evaluation and Operational Profiles. CoRR Xingyu Zhao, Wei Huang, Alec Banks, Victoria Cox, David Flynn, Sven Schewe, Xiaowei Huang
2021	A	`conf`	BayLIME: Bayesian local interpretable model-agnostic explanations. UAI Xingyu Zhao, Wei Huang, Xiaowei Huang, Valentin Robu, David Flynn
2021	—	`conf`	Detecting Operational Adversarial Examples for Reliable Deep Learning. DSN (Supplements) Xingyu Zhao, Wei Huang, Sven Schewe, Yi Dong, Xiaowei Huang
2021	J	`jnl`	Detecting Operational Adversarial Examples for Reliable Deep Learning. CoRR Xingyu Zhao, Wei Huang, Sven Schewe, Yi Dong, Xiaowei Huang
2021	J	`jnl`	Reliability Assessment and Safety Arguments for Machine Learning Components in Assuring Learning-Enabled Autonomous Systems. CoRR Xingyu Zhao, Wei Huang, Vibhav Bharti, Yi Dong, Victoria Cox, Alec Banks, Sen Wang, Sven Schewe, Xiaowei Huang
2021	J	`jnl`	Tutorials on Testing Neural Networks. CoRR Nicolas Berthier, Youcheng Sun, Wei Huang, Yanghao Zhang, Wenjie Ruan, Xiaowei Huang
2020	J	`jnl`	Embedding and Synthesis of Knowledge in Tree Ensemble Classifiers. CoRR Wei Huang, Xingyu Zhao, Xiaowei Huang
2020	J	`jnl`	Formal Verification of Robustness and Resilience of Learning-Enabled State Estimation Systems for Robotics. CoRR Wei Huang, Yifan Zhou, Youcheng Sun, Alec Banks, Jie Meng, James Sharp, Simon Maskell, Xiaowei Huang
2020	A	`conf`	Practical Verification of Neural Network Enabled State Estimation System for Robotics. IROS Wei Huang, Yifan Zhou, Youcheng Sun, James Sharp, Simon Maskell, Xiaowei Huang
2019	J	`jnl`	Test Metrics for Recurrent Neural Networks. CoRR Wei Huang, Youcheng Sun, James Sharp, Xiaowei Huang
2019	J	`jnl`	testRNN: Coverage-guided Testing on Recurrent Neural Networks. CoRR Wei Huang, Youcheng Sun, Xiaowei Huang, James Sharp