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2020 – today
- 2024
[j4]Yuanfeng Song, Yuanqin He, Xuefang Zhao, Hanlin Gu, Di Jiang, Haijun Yang, Lixin Fan:
A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models. J. Comput. Sci. Technol. 39(4): 984-1004 (2024)- [j3]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): 5905-5920 (2024) - [c8]Jinglin Liang, Jin Zhong, Hanlin Gu, Zhongqi Lu, Xingxing Tang, Gang Dai, Shuangping Huang, Lixin Fan, Qiang Yang:
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning. ECCV (30) 2024: 303-319 - [c7]Wenrui Li, Hanlin Gu, Sheng Wan, Zhirong Luan, Wei Xi, Lixin Fan, Qiang Yang, Badong Chen:
Byzantine Robust Aggregation in Federated Distillation with Adversaries. ICDCS 2024: 881-890 - [c6]Hanlin Gu, Gongxi Zhu, Jie Zhang, Xinyuan Zhao, Yuxing Han, Lixin Fan, Qiang Yang:
Unlearning during Learning: An Efficient Federated Machine Unlearning Method. IJCAI 2024: 4035-4043 - [c5]Dashan Gao, Sheng Wan, Hanlin Gu, Lixin Fan, Xin Yao, Qiang Yang:
Label Privacy Source Coding in Vertical Federated Learning. ECML/PKDD (1) 2024: 313-331 - [i22]Gongxi Zhu, Donghao Li, Hanlin Gu, Yuxing Han, Yuan Yao, Lixin Fan, Qiang Yang:
Evaluating Membership Inference Attacks and Defenses in Federated Learning. CoRR abs/2402.06289 (2024) - [i21]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 abs/2405.14212 (2024) - [i20]Hanlin Gu, Gongxi Zhu, Jie Zhang, Xinyuan Zhao, Yuxing Han, Lixin Fan, Qiang Yang:
Unlearning during Learning: An Efficient Federated Machine Unlearning Method. CoRR abs/2405.15474 (2024) - [i19]Hanlin Gu, WinKent Ong, Chee Seng Chan, Lixin Fan:
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity. CoRR abs/2405.17462 (2024) - [i18]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 abs/2406.01085 (2024) - [i17]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 abs/2406.02224 (2024) - [i16]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 abs/2406.12403 (2024) - [i15]Jinglin Liang, Jin Zhong, Hanlin Gu, Zhongqi Lu, Xingxing Tang, Gang Dai, Shuangping Huang, Lixin Fan, Qiang Yang:
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning. CoRR abs/2409.01128 (2024) - 2023
- [j2]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): 4521-4536 (2023) - [j1]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): 1:1-1:35 (2023) - [c4]Hanlin Gu, Jiahuan Luo, Yan Kang, Lixin Fan, Qiang Yang:
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation. IJCAI 2023: 3759-3767 - [c3]Sheng Wan, Dashan Gao, Hanlin Gu, Daning Hu:
FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation. IJCNN 2023: 1-8 - [c2]Xingxing Tang, Hanlin Gu, Lixin Fan, Qiang Yang:
Achieving Provable Byzantine Fault-tolerance in a Semi-honest Federated Learning Setting. PAKDD (2) 2023: 415-427 - [i14]Hanlin Gu, Jiahuan Luo, Yan Kang, Lixin Fan, Qiang Yang:
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation. CoRR abs/2301.12623 (2023) - [i13]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 abs/2305.00312 (2023) - [i12]Wenyuan Yang, Yuguo Yin, Gongxi Zhu, Hanlin Gu, Lixin Fan, Xiaochun Cao, Qiang Yang:
FedZKP: Federated Model Ownership Verification with Zero-knowledge Proof. CoRR abs/2305.04507 (2023) - [i11]Wenyuan Yang, Gongxi Zhu, Yuguo Yin, Hanlin Gu, Lixin Fan, Qiang Yang, Xiaochun Cao:
FedSOV: Federated Model Secure Ownership Verification with Unforgeable Signature. CoRR abs/2305.06085 (2023) - [i10]Sheng Wan, Dashan Gao, Hanlin Gu, Daning Hu:
FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation. CoRR abs/2305.06272 (2023) - [i9]Bowen Li, Hanlin Gu, Ruoxin Chen, Jie Li, Chentao Wu, Na Ruan, Xueming Si, Lixin Fan:
Temporal Gradient Inversion Attacks with Robust Optimization. CoRR abs/2306.07883 (2023) - [i8]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 abs/2310.18358 (2023) - [i7]Yan Kang, Tao Fan, Hanlin Gu, Lixin Fan, Qiang Yang:
Grounding Foundation Models through Federated Transfer Learning: A General Framework. CoRR abs/2311.17431 (2023) - [i6]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 abs/2312.16554 (2023) - 2022
- [i5]Xiaojin Zhang, Hanlin Gu, Lixin Fan, Kai Chen, Qiang Yang:
No Free Lunch Theorem for Security and Utility in Federated Learning. CoRR abs/2203.05816 (2022) - [i4]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 abs/2211.07160 (2022) - [i3]Hanlin Gu, Lixin Fan, Xingxing Tang, Qiang Yang:
FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders. CoRR abs/2211.13389 (2022) - 2021
- [i2]Hanlin Gu, Lixin Fan, Bowen Li, Yan Kang, Yuan Yao, Qiang Yang:
Federated Deep Learning with Bayesian Privacy. CoRR abs/2109.13012 (2021) - [i1]Lixin Fan, Bowen Li, Hanlin Gu, Jie Li, Qiang Yang:
FedIPR: Ownership Verification for Federated Deep Neural Network Models. CoRR abs/2109.13236 (2021)
2010 – 2019
- 2018
- [c1]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: 544-548
Coauthor Index
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