Privacy Reading Group
Meetings on Tuesdays, 11am (Summer 2020)
Leader: Bargav Jayaraman
| Date | Topic/Talk |
| 26 May 2020 |
Cynthia Dwork, Privacy-Preserving Data Analysis (Alan Turing Institute, Turing Lecture, Dec 2016)
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2 June 2020
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Guy Rothblum, Composition: The Key to Differential Privacy is Success (Institute for Advanced Study, Nov 2016)
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| 9 June 2020 |
Yuxin Wang, Detecting Violations of Differential Privacy (ACM CCS 2018)
Benjamin Bichsel, DP-Finder: Finding Differential Privacy Violations by Sampling and Optimization (ACM CCS 2018)
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15 June 2020 |
(Joint with Adversarial Machine Learning Study Group)
Mathias Lécuyer, Certified Robustness to Adversarial Examples with Differential Privacy (IEEE Security and Privacy 2019)
Liwei Song, Membership Inference Attacks against Adversarially Robust Deep Learning Models (IEEE Security and Privacy 2019)
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| 23 June 2020 |
Reza Shokri, Membership Inference Attacks against Machine Learning Models (IEEE Security and Privacy 2017)
Nicholas Carlini, The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks (USENIX Security 2019)
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| 30 June 2020 |
Karan Ganju, Property Inference Attacks on Fully Connected Neural Networks (ACM CCS 2019)
Binghui Wang, Stealing Hyperparameters in Machine Learning (IEEE Security and Privacy 2018)
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| 7 July 2020 |
Joe Near, Differential Privacy at Scale: Uber and Berkeley Collaboration (USENIX Enigma 2020) (also see Frank McSherry’s github issue and blog post)
Brendan McMahan, Guarding user Privacy with Federated Learning and Differential Privacy (DIMACS, 2017)
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| 14 July 2020 |
Ilya Mironov, Rényi Differential Privacy (DIMACS, 2017)
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