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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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03/27/2022
Adversarial Representation Sharing: A Quantitative and Secure Collaborative Learning Framework
The performance of deep learning models highly depends on the amount of ...
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04/09/2021
Improving the Efficiency and Robustness of Deepfakes Detection through Precise Geometric Features
Deepfakes is a branch of malicious techniques that transplant a target f...
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09/17/2020
Label Smoothing and Adversarial Robustness
Recent studies indicate that current adversarial attack methods are flaw...
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09/05/2019
FraudJudger: Real-World Data Oriented Fraud Detection on Digital Payment Platforms
Automated fraud behaviors detection on electronic payment platforms is a...
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06/19/2019
Catfish Effect Between Internal and External Attackers:Being Semi-honest is Helpful
The consensus protocol named proof of work (PoW) is widely applied by cr...
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05/03/2019