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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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05/06/2022
Fusion: Efficient and Secure Inference Resilient to Malicious Server and Curious Clients
In secure machine learning inference, most current schemes assume that t...
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01/23/2022
pvCNN: Privacy-Preserving and Verifiable Convolutional Neural Network Testing
This paper proposes a new approach for privacy-preserving and verifiable...
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05/16/2020
