Hanlin Gu

Orcid: 0000-0001-8266-4561

According to our database¹, Hanlin Gu authored at least 18 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

Evaluating Membership Inference Attacks and Defenses in Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2024

2023

FedIPR: Ownership Verification for Federated Deep Neural Network Models.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

No Free Lunch Theorem for Security and Utility in Federated Learning.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., February, 2023

A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Grounding Foundation Models through Federated Transfer Learning: A General Framework.

[BibT_eX]

[DOI]

CoRR, 2023

A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Temporal Gradient Inversion Attacks with Robust Optimization.

[BibT_eX]

[DOI]

CoRR, 2023

FedSOV: Federated Model Secure Ownership Verification with Unforgeable Signature.

[BibT_eX]

[DOI]

CoRR, 2023

FedZKP: Federated Model Ownership Verification with Zero-knowledge Proof.

[BibT_eX]

[DOI]

CoRR, 2023

Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Achieving Provable Byzantine Fault-tolerance in a Semi-honest Federated Learning Setting.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders.

[BibT_eX]

[DOI]

CoRR, 2022

FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model.

[BibT_eX]

[DOI]

CoRR, 2022

2021

FedIPR: Ownership Verification for Federated Deep Neural Network Models.

[BibT_eX]

[DOI]

CoRR, 2021

Federated Deep Learning with Bayesian Privacy.

[BibT_eX]

[DOI]

CoRR, 2021

2018

Data-Driven Tight Frame for CRYO-EM Image Denoising and Conformational Classification.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Hanlin Gu

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...