Gu, Hanlin

8 publications

CVPR 2025 FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning Gongxi Zhu, Donghao Li, Hanlin Gu, Yuan Yao, Lixin Fan, Yuxing Han

CVPR 2025 Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor Hao Yu, Xin Yang, Le Zhang, Hanlin Gu, Tianrui Li, Lixin Fan, Qiang Yang

NeurIPS 2025 Order-Level Attention Similarity Across Language Models: A Latent Commonality Jinglin Liang, Jin Zhong, Shuangping Huang, Yunqing Hu, Huiyuan Zhang, Huifang Li, Lixin Fan, Hanlin Gu

ECCV 2024 Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning Jinglin Liang, Jin Zhong, Hanlin Gu, Zhongqi Lu, Xingxing Tang, Gang Dai, Shuangping Huang, Lixin Fan, Qiang Yang

NeurIPS 2024 Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity Hanlin Gu, Win Kent Ong, Chee Seng Chan, Lixin Fan

ECML-PKDD 2024 Label Privacy Source Coding in Vertical Federated Learning Dashan Gao, Sheng Wan, Hanlin Gu, Lixin Fan, Xin Yao, Qiang Yang

IJCAI 2024 Unlearning During Learning: An Efficient Federated Machine Unlearning Method Hanlin Gu, Gongxi Zhu, Jie Zhang, Xinyuan Zhao, Yuxing Han, Lixin Fan, Qiang Yang

IJCAI 2023 FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation Hanlin Gu, Jiahuan Luo, Yan Kang, Lixin Fan, Qiang Yang