Follow
Hanlin Gu
Title
Cited by
Cited by
Year
Clustering algorithms to analyze molecular dynamics simulation trajectories for complex chemical and biological systems
J Peng, W Wang, Y Yu, H Gu, X Huang
Chinese Journal of Chemical Physics 31 (4), 404-420, 2018
462018
No free lunch theorem for security and utility in federated learning
X Zhang, H Gu, L Fan, K Chen, Q Yang
ACM Transactions on Intelligent Systems and Technology 14 (1), 1-35, 2022
422022
FedIPR: Ownership verification for federated deep neural network models
B Li, L Fan, H Gu, J Li, Q Yang
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4521-4536, 2022
392022
Federated deep learning with Bayesian privacy
H Gu, L Fan, B Li, Y Kang, Y Yao, Q Yang
arXiv preprint arXiv:2109.13012, 2021
152021
Fedtracker: Furnishing ownership verification and traceability for federated learning model
S Shao, W Yang, H Gu, Z Qin, L Fan, Q Yang, K Ren
arXiv preprint arXiv:2211.07160, 2022
132022
Generative adversarial networks for robust cryo-EM image denoising
H Gu, Y Xian, IC Unarta, Y Yao
Handbook of Mathematical Models and Algorithms in Computer Vision and …, 2023
12*2023
Optimizing privacy, utility and efficiency in constrained multi-objective federated learning
Y Kang, H Gu, X Tang, Y He, Y Zhang, J He, Y Han, L Fan, Q Yang
arXiv preprint arXiv:2305.00312, 2023
92023
RPnet: a reverse-projection-based neural network for coarse-graining metastable conformational states for protein dynamics
H Gu, W Wang, S Cao, IC Unarta, Y Yao, FK Sheong, X Huang
Physical Chemistry Chemical Physics 24 (3), 1462-1474, 2022
62022
Data-driven tight frame for cryo-em image denoising and conformational classification
Y Xian, H Gu, W Wang, X Huang, Y Yao, Y Wang, JF Cai
2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018
62018
FedPass: privacy-preserving vertical federated deep learning with adaptive obfuscation
H Gu, J Luo, Y Kang, L Fan, Q Yang
IJCAI 2023, 2023
52023
Fedzkp: Federated model ownership verification with zero-knowledge proof
W Yang, Y Yin, G Zhu, H Gu, L Fan, X Cao, Q Yang
arXiv preprint arXiv:2305.04507, 2023
42023
FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation
S Wan, D Gao, H Gu, D Hu
2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023
22023
FedSOV: federated model secure ownership verification with unforgeable signature
W Yang, G Zhu, Y Yin, H Gu, L Fan, Q Yang, X Cao
arXiv preprint arXiv:2305.06085, 2023
22023
Grounding foundation models through federated transfer learning: A general framework
Y Kang, T Fan, H Gu, L Fan, Q Yang
arXiv preprint arXiv:2311.17431, 2023
12023
FedCut: a spectral analysis framework for reliable detection of byzantine colluders
H Gu, L Fan, X Tang, Q Yang
TPAMI, 2022
12022
A novel approach to simultaneously improve privacy, efficiency and reliability of federated DNN learning
H Gu, L Fan, YK Bowen Li, Y Yao, Q Yang
International Workshop on Federated and Transfer Learning for Data Sparsity …, 2021
12021
Evaluating Membership Inference Attacks and Defenses in Federated Learning
G Zhu, D Li, H Gu, Y Han, Y Yao, L Fan, Q Yang
arXiv preprint arXiv:2402.06289, 2024
2024
A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning
H Gu, X Zhao, Y Han, Y Kang, L Fan, Q Yang
arXiv preprint arXiv:2312.16554, 2023
2023
A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models
Y Song, Y He, X Zhao, H Gu, D Jiang, H Yang, L Fan, Q Yang
arXiv preprint arXiv:2310.18358, 2023
2023
Temporal Gradient Inversion Attacks with Robust Optimization
B Li, H Gu, R Chen, J Li, C Wu, N Ruan, X Si, L Fan
arXiv preprint arXiv:2306.07883, 2023
2023
The system can't perform the operation now. Try again later.
Articles 1–20