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10/16/2022
VerifyML: Obliviously Checking Model Fairness Resilient to Malicious Model Holder
In this paper, we present VerifyML, the first secure inference framework...
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09/14/2022
Federated Learning based on Defending Against Data Poisoning Attacks in IoT
The rapidly expanding number of Internet of Things (IoT) devices is gene...
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07/11/2022
A Secure Fingerprinting Framework for Distributed Image Classification
The deep learning (DL) technology has been widely used for image classif...
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07/11/2022
SIMC 2.0: Improved Secure ML Inference Against Malicious Clients
In this paper, we study the problem of secure ML inference against a mal...
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07/11/2022
Hercules: Boosting the Performance of Privacy-preserving Federated Learning
In this paper, we address the problem of privacy-preserving federated ne...
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03/02/2022