Hanlin Gu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 28

Top Topics

Reliable Detection

Privacy Preserving Data Mining Algorithms

Spectral Analysis

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Tao Fan, Yan Kang, Weijing Chen, Hanlin Gu, Yuanfeng Song, Lixin Fan, Kai Chen, Qiang Yang
PDSS: A Privacy-Preserving Framework for Step-by-Step Distillation of Large Language Models. CoRR (2024)
Gongxi Zhu, Donghao Li, Hanlin Gu, Yuxing Han, Yuan Yao, Lixin Fan, Qiang Yang
Evaluating Membership Inference Attacks and Defenses in Federated Learning. CoRR (2024)
Hanlin Gu, Jiahuan Luo, Yan Kang, Yuan Yao, Gongxi Zhu, Bowen Li, Lixin Fan, Qiang Yang
FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation. CoRR (2024)
Hanlin Gu, Gongxi Zhu, Jie Zhang, Xinyuan Zhao, Yuxing Han, Lixin Fan, Qiang Yang
Unlearning during Learning: An Efficient Federated Machine Unlearning Method. CoRR (2024)
Haoran Li, Xinyuan Zhao, Dadi Guo, Hanlin Gu, Ziqian Zeng, Yuxing Han, Yangqiu Song, Lixin Fan, Qiang Yang
Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data. CoRR (2024)
Hanlin Gu, WinKent Ong, Chee Seng Chan, Lixin Fan
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity. CoRR (2024)
Tao Fan, Guoqiang Ma, Yan Kang, Hanlin Gu, Yuanfeng Song, Lixin Fan, Kai Chen, Qiang Yang
FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models. CoRR (2024)
Hanlin Gu, Lixin Fan, Xingxing Tang, Qiang Yang
FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders. IEEE Trans. Pattern Anal. Mach. Intell. 46 (9) (2024)
Sheng Wan, Dashan Gao, Hanlin Gu, Daning Hu
FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation. IJCNN (2023)
Hanlin Gu, Jiahuan Luo, Yan Kang, Lixin Fan, Qiang Yang
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation. IJCAI (2023)
Yan Kang, Tao Fan, Hanlin Gu, Lixin Fan, Qiang Yang
Grounding Foundation Models through Federated Transfer Learning: A General Framework. CoRR (2023)
Xingxing Tang, Hanlin Gu, Lixin Fan, Qiang Yang
Achieving Provable Byzantine Fault-tolerance in a Semi-honest Federated Learning Setting. PAKDD (2) (2023)
Bowen Li, Hanlin Gu, Ruoxin Chen, Jie Li, Chentao Wu, Na Ruan, Xueming Si, Lixin Fan
Temporal Gradient Inversion Attacks with Robust Optimization. CoRR (2023)
Yan Kang, Hanlin Gu, Xingxing Tang, Yuanqin He, Yuzhu Zhang, Jinnan He, Yuxing Han, Lixin Fan, Kai Chen, Qiang Yang
Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning. CoRR (2023)
Hanlin Gu, Xinyuan Zhao, Yuxing Han, Yan Kang, Lixin Fan, Qiang Yang
A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning. CoRR (2023)
Xiaojin Zhang, Hanlin Gu, Lixin Fan, Kai Chen, Qiang Yang
No Free Lunch Theorem for Security and Utility in Federated Learning. ACM Trans. Intell. Syst. Technol. 14 (1) (2023)
Sheng Wan, Dashan Gao, Hanlin Gu, Daning Hu
FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation. CoRR (2023)
Yuanfeng Song, Yuanqin He, Xuefang Zhao, Hanlin Gu, Di Jiang, Haijun Yang, Lixin Fan, Qiang Yang
A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models. CoRR (2023)
Hanlin Gu, Jiahuan Luo, Yan Kang, Lixin Fan, Qiang Yang
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation. CoRR (2023)
Wenyuan Yang, Yuguo Yin, Gongxi Zhu, Hanlin Gu, Lixin Fan, Xiaochun Cao, Qiang Yang
FedZKP: Federated Model Ownership Verification with Zero-knowledge Proof. CoRR (2023)
Bowen Li, Lixin Fan, Hanlin Gu, Jie Li, Qiang Yang
FedIPR: Ownership Verification for Federated Deep Neural Network Models. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Wenyuan Yang, Gongxi Zhu, Yuguo Yin, Hanlin Gu, Lixin Fan, Qiang Yang, Xiaochun Cao
FedSOV: Federated Model Secure Ownership Verification with Unforgeable Signature. CoRR (2023)
Xiaojin Zhang, Hanlin Gu, Lixin Fan, Kai Chen, Qiang Yang
No Free Lunch Theorem for Security and Utility in Federated Learning. CoRR (2022)
Shuo Shao, Wenyuan Yang, Hanlin Gu, Jian Lou, Zhan Qin, Lixin Fan, Qiang Yang, Kui Ren
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model. CoRR (2022)
Hanlin Gu, Lixin Fan, Xingxing Tang, Qiang Yang
FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders. CoRR (2022)
Lixin Fan, Bowen Li, Hanlin Gu, Jie Li, Qiang Yang
FedIPR: Ownership Verification for Federated Deep Neural Network Models. CoRR (2021)
Hanlin Gu, Lixin Fan, Bowen Li, Yan Kang, Yuan Yao, Qiang Yang
Federated Deep Learning with Bayesian Privacy. CoRR (2021)
Yin Xian, Hanlin Gu, Wei Wang, Xuhui Huang, Yuan Yao, Yang Wang, Jian-Feng Cai
Data-Driven Tight Frame for CRYO-EM Image Denoising and Conformational Classification. GlobalSIP (2018)