Pan, Chao

14 publications

AAAI 2025 Efficient Robustness Evaluation via Constraint Relaxation Chao Pan, Yu Wu, Ke Tang, Qing Li, Xin Yao

ICCV 2025 Mitigating Catastrophic Overfitting in Fast Adversarial Training via Label Information Elimination Chao Pan, Ke Tang, Qing Li, Xin Yao

AAAI 2024 Adversarial Initialization with Universal Adversarial Perturbation: A New Approach to Fast Adversarial Training Chao Pan, Qing Li, Xin Yao

NeurIPS 2024 FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning Evelyn Ma, Chao Pan, Rasoul Etesami, Han Zhao, Olgica Milenkovic

TMLR 2024 Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls Saurav Prakash, Jin Sima, Chao Pan, Eli Chien, Olgica Milenkovic

NeurIPS 2023 Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection Eli Chien, Wei-Ning Chen, Chao Pan, Pan Li, Ayfer Ozgur, Olgica Milenkovic

ICLR 2023 Efficient Model Updates for Approximate Unlearning of Graph-Structured Data Eli Chien, Chao Pan, Olgica Milenkovic

ICLR 2023 Machine Unlearning of Federated Clusters Chao Pan, Jin Sima, Saurav Prakash, Vishal Rana, Olgica Milenkovic

NeurIPSW 2022 Certified Graph Unlearning Eli Chien, Chao Pan, Olgica Milenkovic

ICLR 2022 You Are AllSet: A Multiset Function Framework for Hypergraph Neural Networks Eli Chien, Chao Pan, Jianhao Peng, Olgica Milenkovic

ECML-PKDD 2021 Label-Assisted Memory Autoencoder for Unsupervised Out-of-Distribution Detection Shuyi Zhang, Chao Pan, Liyan Song, Xiaoyu Wu, Zheng Hu, Ke Pei, Peter Tino, Xin Yao

ICLR 2021 Spatio-Temporal Graph Scattering Transform Chao Pan, Siheng Chen, Antonio Ortega

NeurIPS 2018 Query K-Means Clustering and the Double Dixie Cup Problem I Chien, Chao Pan, Olgica Milenkovic

NeurIPS 2017 Group Additive Structure Identification for Kernel Nonparametric Regression Chao Pan, Michael Zhu