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Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning


Jan 11, 2021
Milad Nasr, Shuang Song, Abhradeep Thakurta, Nicolas Papernot, Nicholas Carlini


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Improving Deep Learning with Differential Privacy using Gradient Encoding and Denoising


Jul 22, 2020
Milad Nasr, Reza Shokri, Amir houmansadr


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Blind Adversarial Network Perturbations


Feb 16, 2020
Milad Nasr, Alireza Bahramali, Amir Houmansadr


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Comprehensive Privacy Analysis of Deep Learning: Stand-alone and Federated Learning under Passive and Active White-box Inference Attacks


Dec 03, 2018
Milad Nasr, Reza Shokri, Amir Houmansadr


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DeepCorr: Strong Flow Correlation Attacks on Tor Using Deep Learning


Aug 22, 2018
Milad Nasr, Alireza Bahramali, Amir Houmansadr


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Machine Learning with Membership Privacy using Adversarial Regularization


Jul 16, 2018
Milad Nasr, Reza Shokri, Amir Houmansadr


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