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An Attack on InstaHide: Is Private Learning Possible with Instance Encoding?

Nov 10, 2020
Nicholas Carlini, Samuel Deng, Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Shuang Song, Abhradeep Thakurta, Florian Tramer


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Obliviousness Makes Poisoning Adversaries Weaker

Mar 26, 2020
Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Abhradeep Thakurta


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Computational Concentration of Measure: Optimal Bounds, Reductions, and More

Jul 11, 2019
Omid Etesami, Saeed Mahloujifar, Mohammad Mahmoody


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Lower Bounds for Adversarially Robust PAC Learning

Jun 13, 2019
Dimitrios I. Diochnos, Saeed Mahloujifar, Mohammad Mahmoody


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Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness

May 29, 2019
Saeed Mahloujifar, Xiao Zhang, Mohammad Mahmoody, David Evans

* 17 pages, 3 figures, 4 tables 

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Adversarially Robust Learning Could Leverage Computational Hardness

May 28, 2019
Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody


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The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure

Nov 06, 2018
Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody


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Can Adversarially Robust Learning Leverage Computational Hardness?

Nov 06, 2018
Saeed Mahloujifar, Mohammad Mahmoody


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Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution

Oct 29, 2018
Dimitrios I. Diochnos, Saeed Mahloujifar, Mohammad Mahmoody

* Full version of a work with the same title that will appear in NIPS 2018, 31 pages containing 5 figures, 1 table, 2 algorithms 

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Multi-party Poisoning through Generalized $p$-Tampering

Sep 11, 2018
Saeed Mahloujifar, Mohammad Mahmoody, Ameer Mohammed


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Learning under $p$-Tampering Attacks

May 01, 2018
Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody


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