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06/13/2023
Temporal Gradient Inversion Attacks with Robust Optimization
Federated Learning (FL) has emerged as a promising approach for collabor...
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05/10/2023
FedSOV: Federated Model Secure Ownership Verification with Unforgeable Signature
Federated learning allows multiple parties to collaborate in learning a ...
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05/09/2023
FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation
Cross-platform recommendation aims to improve recommendation accuracy by...
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05/08/2023
FedZKP: Federated Model Ownership Verification with Zero-knowledge Proof
Federated learning (FL) allows multiple parties to cooperatively learn a...
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11/24/2022
FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders
This paper proposes a general spectral analysis framework that thwarts a...
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11/14/2022
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model
Copyright protection of the Federated Learning (FL) model has become a m...
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03/11/2022
No free lunch theorem for security and utility in federated learning
In a federated learning scenario where multiple parties jointly learn a ...
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09/27/2021
FedIPR: Ownership Verification for Federated Deep Neural Network Models
Federated learning models must be protected against plagiarism since the...
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08/17/2020
Robust Autoencoder GAN for Cryo-EM Image Denoising
The cryo-electron microscopy (Cryo-EM) becomes popular for macromolecula...
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10/20/2018