Wang, Zifan

34 publications

TMLR 2026 Theoretically Understanding Data Reconstruction Leakage in Federated Learning Binghui Zhang, Zifan Wang, Meng Pang, Yuan Hong, Binghui Wang

ICLR 2025 Aligned LLMs Are Not Aligned Browser Agents Priyanshu Kumar, Elaine Lau, Saranya Vijayakumar, Tu Trinh, Elaine T Chang, Vaughn Robinson, Shuyan Zhou, Matt Fredrikson, Sean M. Hendryx, Summer Yue, Zifan Wang

NeurIPS 2025 Exploring the Limits of Vision-Language-Action Manipulation in Cross-Task Generalization Jiaming Zhou, Ke Ye, Jiayi Liu, Teli Ma, Zifan Wang, Ronghe Qiu, Kun-Yu Lin, Zhilin Zhao, Junwei Liang

CoRL 2025 GLOVER++: Unleashing the Potential of Affordance Learning from Human Behaviors for Robotic Manipulation Teli Ma, Jia Zheng, Zifan Wang, Ziyao Gao, Jiaming Zhou, Junwei Liang

CVPR 2025 Mitigating the Human-Robot Domain Discrepancy in Visual Pre-Training for Robotic Manipulation Jiaming Zhou, Teli Ma, Kun-Yu Lin, Zifan Wang, Ronghe Qiu, Junwei Liang

CVPR 2025 MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Zifan Wang, Ziqing Chen, Junyu Chen, Jilong Wang, Yuxin Yang, Yunze Liu, Xueyi Liu, He Wang, Li Yi

UAI 2025 MutualNeRF: Improve the Performance of NeRF Under Limited Samples with Mutual Information Theory Zifan Wang, Jingwei Li, Yitang Li, Yunze Liu

CoRL 2025 Omni-Perception: Omnidirectional Collision Avoidance of Legged Robots in Dynamic Environments Zifan Wang, Teli Ma, Yufei Jia, Xun Yang, Jiaming Zhou, Wenlong Ouyang, Qiang Zhang, Junwei Liang

CPAL 2025 Streaming Kernel PCA Algorithm with Small Space Yichuan Deng, Jiangxuan Long, Zhao Song, Zifan Wang, Han Zhang

ICML 2025 Understanding Nonlinear Implicit Bias via Region Counts in Input Space Jingwei Li, Jing Xu, Zifan Wang, Huishuai Zhang, Jingzhao Zhang

ICML 2025 Validating Mechanistic Interpretations: An Axiomatic Approach Nils Palumbo, Ravi Mangal, Zifan Wang, Saranya Vijayakumar, Corina S. Pasareanu, Somesh Jha

IJCAI 2025 Why the Agent Made That Decision: Contrastive Explanation Learning for Reinforcement Learning Rui Zuo, Simon Khan, Zifan Wang, Garrett Ethan Katz, Qinru Qiu

ICLR 2024 A Recipe for Improved Certifiable Robustness Kai Hu, Klas Leino, Zifan Wang, Matt Fredrikson

CoRL 2024 Contrastive Imitation Learning for Language-Guided Multi-Task Robotic Manipulation Teli Ma, Jiaming Zhou, Zifan Wang, Ronghe Qiu, Junwei Liang

CVPR 2024 GenH2R: Learning Generalizable Human-to-Robot Handover via Scalable Simulation Demonstration and Imitation Zifan Wang, Junyu Chen, Ziqing Chen, Pengwei Xie, Rui Chen, Li Yi

ICML 2024 HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal Mantas Mazeika, Long Phan, Xuwang Yin, Andy Zou, Zifan Wang, Norman Mu, Elham Sakhaee, Nathaniel Li, Steven Basart, Bo Li, David Forsyth, Dan Hendrycks

NeurIPSW 2024 LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks yet Nathaniel Li, Ziwen Han, Ian Steneker, Willow E. Primack, Riley Goodside, Hugh Zhang, Zifan Wang, Cristina Menghini, Summer Yue

NeurIPS 2024 Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport Zifan Wang, Yi Shen, Michael M. Zavlanos, Karl H. Johansson

AAAI 2024 Semantic Complete Scene Forecasting from a 4D Dynamic Point Cloud Sequence Zifan Wang, Zhuorui Ye, Haoran Wu, Junyu Chen, Li Yi

ICML 2024 The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning Nathaniel Li, Alexander Pan, Anjali Gopal, Summer Yue, Daniel Berrios, Alice Gatti, Justin D. Li, Ann-Kathrin Dombrowski, Shashwat Goel, Gabriel Mukobi, Nathan Helm-Burger, Rassin Lababidi, Lennart Justen, Andrew Bo Liu, Michael Chen, Isabelle Barrass, Oliver Zhang, Xiaoyuan Zhu, Rishub Tamirisa, Bhrugu Bharathi, Ariel Herbert-Voss, Cort B Breuer, Andy Zou, Mantas Mazeika, Zifan Wang, Palash Oswal, Weiran Lin, Adam Alfred Hunt, Justin Tienken-Harder, Kevin Y. Shih, Kemper Talley, John Guan, Ian Steneker, David Campbell, Brad Jokubaitis, Steven Basart, Stephen Fitz, Ponnurangam Kumaraguru, Kallol Krishna Karmakar, Uday Tupakula, Vijay Varadharajan, Yan Shoshitaishvili, Jimmy Ba, Kevin M. Esvelt, Alexandr Wang, Dan Hendrycks

ICMLW 2024 Understanding Nonlinear Implicit Bias via Region Counts in Input Space Jingwei Li, Jing Xu, Zifan Wang, Huishuai Zhang, Jingzhao Zhang

NeurIPS 2023 Grounding Neural Inference with Satisfiability Modulo Theories Zifan Wang, Saranya Vijayakumar, Kaiji Lu, Vijay Ganesh, Somesh Jha, Matt Fredrikson

CVPR 2023 Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization Zifan Wang, Nan Ding, Tomer Levinboim, Xi Chen, Radu Soricut

ICLR 2023 On the Perils of Cascading Robust Classifiers Ravi Mangal, Zifan Wang, Chi Zhang, Klas Leino, Corina Pasareanu, Matt Fredrikson

L4DC 2023 Policy Evaluation in Distributional LQR Zifan Wang, Yulong Gao, Siyi Wang, Michael M. Zavlanos, Alessandro Abate, Karl Henrik Johansson

NeurIPS 2023 Unlocking Deterministic Robustness Certification on ImageNet Kai Hu, Andy Zou, Zifan Wang, Klas Leino, Matt Fredrikson

ICLR 2022 Consistent Counterfactuals for Deep Models Emily Black, Zifan Wang, Matt Fredrikson

ICML 2022 Risk-Averse No-Regret Learning in Online Convex Games Zifan Wang, Yi Shen, Michael Zavlanos

ICML 2022 Robust Models Are More Interpretable Because Attributions Look Normal Zifan Wang, Matt Fredrikson, Anupam Datta

ICML 2021 Globally-Robust Neural Networks Klas Leino, Zifan Wang, Matt Fredrikson

NeurIPS 2021 Influence Patterns for Explaining Information Flow in BERT Kaiji Lu, Zifan Wang, Piotr Mardziel, Anupam Datta

CVPRW 2020 Interpreting Interpretations: Organizing Attribution Methods by Criteria Zifan Wang, Piotr Mardziel, Anupam Datta, Matt Fredrikson

CVPRW 2020 Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks Haofan Wang, Zifan Wang, Mengnan Du, Fan Yang, Zijian Zhang, Sirui Ding, Piotr Mardziel, Xia Hu

NeurIPS 2020 Smoothed Geometry for Robust Attribution Zifan Wang, Haofan Wang, Shakul Ramkumar, Piotr Mardziel, Matt Fredrikson, Anupam Datta