On the Protection of Private Information in Machine Learning Systems: Two Recent Approaches

Authors: Martín Abadi, Úlfar Erlingsson, Ian Goodfellow, H. Brendan McMahan, Ilya Mironov, Nicolas Papernot, Kunal Talwar, Li Zhang | Published: 2017-08-26
2017.08.26 2025.04.03
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Plausible Deniability for Privacy-Preserving Data Synthesis

Authors: Vincent Bindschaedler, Reza Shokri, Carl A. Gunter | Published: 2017-08-26
2017.08.26 2025.04.03
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Modular Learning Component Attacks: Today’s Reality, Tomorrow’s Challenge

Authors: Xinyang Zhang, Yujie Ji, Ting Wang | Published: 2017-08-25
2017.08.25 2025.04.03
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Knock Knock, Who’s There? Membership Inference on Aggregate Location Data

Authors: Apostolos Pyrgelis, Carmela Troncoso, Emiliano De Cristofaro | Published: 2017-08-21 | Updated: 2017-11-29
2017.08.21 2025.04.03
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Evasion Attacks against Machine Learning at Test Time

Authors: Battista Biggio, Igino Corona, Davide Maiorca, Blaine Nelson, Nedim Srndic, Pavel Laskov, Giorgio Giacinto, Fabio Roli | Published: 2017-08-21
2017.08.21 2025.04.03
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Secure Search on the Cloud via Coresets and Sketches

Authors: Adi Akavia, Dan Feldman, Hayim Shaul | Published: 2017-08-19
2017.08.19 2025.04.03
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Learning Universal Adversarial Perturbations with Generative Models

Authors: Jamie Hayes, George Danezis | Published: 2017-08-17 | Updated: 2018-01-05
2017.08.17 2025.04.03
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Continuous User Authentication via Unlabeled Phone Movement Patterns

Authors: Rajesh Kumar, Partha Pratim Kundu, Diksha Shukla, Vir V. Phoha | Published: 2017-08-15
2017.08.15 2025.04.03
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ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models

Authors: Pin-Yu Chen, Huan Zhang, Yash Sharma, Jinfeng Yi, Cho-Jui Hsieh | Published: 2017-08-14 | Updated: 2017-11-02
2017.08.14 2025.04.03
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Cascade Adversarial Machine Learning Regularized with a Unified Embedding

Authors: Taesik Na, Jong Hwan Ko, Saibal Mukhopadhyay | Published: 2017-08-08 | Updated: 2018-03-17
2017.08.08 2025.04.03
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