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  • title: MExMI: Pool-based Active Model Extraction Crossover Membership Inference
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            MExMI: Pool-based Active Model Extraction Crossover Membership Inference
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            MExMI: Pool-based Active Model Extraction Crossover Membership Inference

            Dec 6, 2022

            Speakers

            YX

            Yaxin Xiao

            Speaker · 0 followers

            QY

            Qingqing Ye

            Speaker · 0 followers

            HH

            Haibo Hu

            Speaker · 0 followers

            About

            With increasing popularity of Machine Learning as a Service (MLaaS), ML models trained from public and proprietary data are deployed in the cloud and deliver prediction services to users. However, as the prediction API becomes a new attack surface, growing concerns have arisen on the confidentiality of ML models. Existing literatures show their vulnerability under model extraction (ME) attacks, while their private training data is vulnerable to another type of attacks, namely, membership inferen…

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            NeurIPS 2022

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