Ruan, Wenjie

29 publications

AAAI 2025 A Black-Box Evaluation Framework for Semantic Robustness in Bird's Eye View Detection Fu Wang, Yanghao Zhang, Xiangyu Yin, Guangliang Cheng, Zeyu Fu, Xiaowei Huang, Wenjie Ruan

ICCV 2025 Adversarial Training for Probabilistic Robustness Yi Zhang, Yuhang Chen, Zhen Chen, Wenjie Ruan, Xiaowei Huang, Siddartha Khastgir, Xingyu Zhao

NeurIPS 2025 FALCON: Fine-Grained Activation Manipulation by Contrastive Orthogonal Unalignment for Large Language Model Jinwei Hu, Zhenglin Huang, Xiangyu Yin, Wenjie Ruan, Guangliang Cheng, Yi Dong, Xiaowei Huang

MLJ 2025 Verification on Out-of-Distribution Detectors Under Natural Perturbations Chi Zhang, Zhen Chen, Peipei Xu, Geyong Min, Wenjie Ruan

MLJ 2024 3DVerifier: Efficient Robustness Verification for 3D Point Cloud Models Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Qiang Ni

CVPR 2024 Boosting Adversarial Training via Fisher-Rao Norm-Based Regularization Xiangyu Yin, Wenjie Ruan

MLJ 2024 DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking Xiangyu Yin, Wenjie Ruan, Jonathan E. Fieldsend

MLJ 2024 Nrat: Towards Adversarial Training with Inherent Label Noise Zhen Chen, Fu Wang, Ronghui Mu, Peipei Xu, Xiaowei Huang, Wenjie Ruan

IJCAI 2024 PRASS: Probabilistic Risk-Averse Robust Learning with Stochastic Search Tianle Zhang, Yanghao Zhang, Ronghui Mu, Jiaxu Liu, Jonathan E. Fieldsend, Wenjie Ruan

ICML 2024 Position: Building Guardrails for Large Language Models Requires Systematic Design Yi Dong, Ronghui Mu, Gaojie Jin, Yi Qi, Jinwei Hu, Xingyu Zhao, Jie Meng, Wenjie Ruan, Xiaowei Huang

ECCV 2024 ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models Against Stochastic Perturbation Yi Zhang, Yun Tang, Wenjie Ruan, Xiaowei Huang, Siddartha Khastgir, Paul A Jennings, Xingyu Zhao

AAAI 2024 Representation-Based Robustness in Goal-Conditioned Reinforcement Learning Xiangyu Yin, Sihao Wu, Jiaxu Liu, Meng Fang, Xingyu Zhao, Xiaowei Huang, Wenjie Ruan

AAAI 2024 Reward Certification for Policy Smoothed Reinforcement Learning Ronghui Mu, Leandro Soriano Marcolino, Yanghao Zhang, Tianle Zhang, Xiaowei Huang, Wenjie Ruan

NeurIPS 2024 TARP-VP: Towards Evaluation of Transferred Adversarial Robustness and Privacy on Label Mapping Visual Prompting Models Zhen Chen, Yi Zhang, Fu Wang, Xingyu Zhao, Xiaowei Huang, Wenjie Ruan

NeurIPS 2024 The Implicit Bias of Gradient Descent Toward Collaboration Between Layers: A Dynamic Analysis of Multilayer Perceptions Zheng Wang, Geyong Min, Wenjie Ruan

CVPR 2024 Towards Fairness-Aware Adversarial Learning Yanghao Zhang, Tianle Zhang, Ronghui Mu, Xiaowei Huang, Wenjie Ruan

AAAI 2023 Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Gaojie Jin, Qiang Ni

NeurIPSW 2023 DIRECT Optimisation with Bayesian Insights: Assessing Reliability Under Fixed Computational Budgets Fu Wang, Zeyu Fu, Xiaowei Huang, Wenjie Ruan

MLJ 2023 Generalizing Universal Adversarial Perturbations for Deep Neural Networks Yanghao Zhang, Wenjie Ruan, Fu Wang, Xiaowei Huang

AAAI 2023 RePreM: Representation Pre-Training with Masked Model for Reinforcement Learning Yuanying Cai, Chuheng Zhang, Wei Shen, Xuyun Zhang, Wenjie Ruan, Longbo Huang

AAAI 2023 Reachability Analysis of Neural Network Control Systems Chi Zhang, Wenjie Ruan, Peipei Xu

AAAI 2023 Towards Verifying the Geometric Robustness of Large-Scale Neural Networks Fu Wang, Peipei Xu, Wenjie Ruan, Xiaowei Huang

NeurIPSW 2022 Dynamic Efficient Adversarial Training Guided by Gradient Magnitude Fu Wang, Yanghao Zhang, Yanbin Zheng, Wenjie Ruan

ECML-PKDD 2022 PRoA: A Probabilistic Robustness Assessment Against Functional Perturbations Tianle Zhang, Wenjie Ruan, Jonathan E. Fieldsend

ECML-PKDD 2022 Understanding Adversarial Robustness of Vision Transformers via Cauchy Problem Zheng Wang, Wenjie Ruan

AAAI 2020 AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration Liantao Ma, Junyi Gao, Yasha Wang, Chaohe Zhang, Jiangtao Wang, Wenjie Ruan, Wen Tang, Xin Gao, Xinyu Ma

AAAI 2020 ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context Liantao Ma, Chaohe Zhang, Yasha Wang, Wenjie Ruan, Jiangtao Wang, Wen Tang, Xinyu Ma, Xin Gao, Junyi Gao

IJCAI 2019 Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the Hamming Distance Wenjie Ruan, Min Wu, Youcheng Sun, Xiaowei Huang, Daniel Kroening, Marta Kwiatkowska

IJCAI 2018 Reachability Analysis of Deep Neural Networks with Provable Guarantees Wenjie Ruan, Xiaowei Huang, Marta Kwiatkowska