Workshop
Privacy in Machine Learning (PriML)
Borja Balle · Kamalika Chaudhuri · Antti Honkela · Antti Koskela · Casey Meehan · Mi Jung Park · Mary Anne Smart · Mary Anne Smart · Adrian Weller
Sat 14 Dec, 8 a.m. PST
The goal of our workshop is to bring together privacy experts working in academia and industry to discuss the present and the future of privacy-aware technologies powered by machine learning. The workshop will focus on the technical aspects of privacy research and deployment with invited and contributed talks by distinguished researchers in the area. The programme of the workshop will emphasize the diversity of points of view on the problem of privacy. We will also ensure there is ample time for discussions that encourage networking between researches, which should result in mutually beneficial new long-term collaborations.
Chat is not available.
Timezone: America/Los_Angeles
Schedule
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Sat 8:10 a.m. - 8:15 a.m.
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Opening
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Opening
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Sat 8:15 a.m. - 9:05 a.m.
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Privacy for Federated Learning, and Federated Learning for Privacy
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Invited talk
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Brendan McMahan 🔗 |
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Sat 9:05 a.m. - 9:25 a.m.
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Gaussian Differential Privacy
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Contributed talk
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Jinshuo Dong · Aaron Roth 🔗 |
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Sat 9:25 a.m. - 9:45 a.m.
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QUOTIENT: Two-Party Secure Neural Network Training & Prediction
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Contributed talk
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Nitin Agrawal · Matt Kusner · Adria Gascon 🔗 |
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Sat 9:45 a.m. - 10:30 a.m.
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Coffee break
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Sat 10:30 a.m. - 11:20 a.m.
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Fair Decision Making using Privacy-Protected Data
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Invited talk
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Ashwin Machanavajjhala 🔗 |
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Sat 11:20 a.m. - 11:30 a.m.
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Spotlight talks
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Spotlight talks
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Sat 11:30 a.m. - 12:30 p.m.
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Poster Session
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Poster Session
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59 presentersClement Canonne · Kwang-Sung Jun · Seth Neel · Di Wang · Giuseppe Vietri · Liwei Song · Jonathan Lebensold · Huanyu Zhang · Lovedeep Gondara · Ang Li · FatemehSadat Mireshghallah · Jinshuo Dong · Anand D Sarwate · Antti Koskela · Joonas Jälkö · Matt Kusner · Dingfan Chen · Mi Jung Park · Ashwin Machanavajjhala · Jayashree Kalpathy-Cramer · · Vitaly Feldman · Andrew Tomkins · Hai Phan · Hossein Esfandiari · Mimansa Jaiswal · Mrinank Sharma · Jeff Druce · Casey Meehan · Zhengli Zhao · Hsiang Hsu · Davis Railsback · Abraham Flaxman · · Julius Adebayo · Aleksandra Korolova · Jiaming Xu · Naoise Holohan · Samyadeep Basu · Matthew Joseph · My Thai · Xiaoqian Yang · Ellen Vitercik · Michael Hutchinson · Chenghong Wang · Gregory Yauney · Yuchao Tao · Chao Jin · Si Kai Lee · Audra McMillan · Rauf Izmailov · Jiayi Guo · Siddharth Swaroop · Tribhuvanesh Orekondy · Hadi Esmaeilzadeh · Kevin Procopio · Alkis Polyzotis · Jafar Mohammadi · Nitin Agrawal |
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Sat 12:30 p.m. - 2:00 p.m.
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Lunch break
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Sat 2:00 p.m. - 2:50 p.m.
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Fair Universal Representations via Generative Models and Model Auditing Guarantees
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Invited talk
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Lalitha Sankar 🔗 |
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Sat 2:50 p.m. - 3:10 p.m.
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Pan-Private Uniformity Testing
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Contributed talk
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Kareem Amin · Matthew Joseph 🔗 |
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Sat 3:10 p.m. - 3:30 p.m.
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Private Stochastic Convex Optimization: Optimal Rates in Linear Time
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Contributed talk
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Vitaly Feldman · Tomer Koren · Kunal Talwar 🔗 |
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Sat 3:30 p.m. - 4:15 p.m.
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Coffee break
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Sat 4:15 p.m. - 5:05 p.m.
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Formal Privacy At Scale: The 2020 Decennial Census TopDown Disclosure Limitation Algorithm
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Invited talk
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Philip Leclerc 🔗 |
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Sat 5:05 p.m. - 5:55 p.m.
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Panel Discussion
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Discussion Panel
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Sat 5:55 p.m. - 6:00 p.m.
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Closing
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Closing
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