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Tutorial
Mon Dec 07 01:30 PM -- 04:00 PM (PST)
(Track1) Federated Learning and Analytics: Industry Meets Academia
[
Video Part 4]
Oral
Tue Dec 08 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Social/Privacy
Adversarially Robust Streaming Algorithms via Differential Privacy
[ Paper ]
Oral
Tue Dec 08 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Social/Privacy
Differentially Private Clustering: Tight Approximation Ratios
[ Paper ]
Oral
Tue Dec 08 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Social/Privacy
Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms
[ Paper ]
Spotlight
Tue Dec 08 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Social/Privacy
Private Identity Testing for High-Dimensional Distributions
[ Paper ]
Spotlight
Tue Dec 08 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Social/Privacy
Permute-and-Flip: A new mechanism for differentially private selection
[ Paper ]
Spotlight
Tue Dec 08 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Social/Privacy
Smoothed Analysis of Online and Differentially Private Learning
[ Paper ]
Spotlight
Tue Dec 08 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Social/Privacy
Optimal Private Median Estimation under Minimal Distributional Assumptions
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #175
Federated Principal Component Analysis
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #227
Smoothed Analysis of Online and Differentially Private Learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #255
Auditing Differentially Private Machine Learning: How Private is Private SGD?
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #257
Smoothly Bounding User Contributions in Differential Privacy
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #258
Learning from Mixtures of Private and Public Populations
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #260
Instance-optimality in differential privacy via approximate inverse sensitivity mechanisms
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #261
Improving Sparse Vector Technique with Renyi Differential Privacy
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #262
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #264
Optimal Private Median Estimation under Minimal Distributional Assumptions
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #265
Learning discrete distributions: user vs item-level privacy
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #266
Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #282
Differentially Private Clustering: Tight Approximation Ratios
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #283
Faster Differentially Private Samplers via Rényi Divergence Analysis of Discretized Langevin MCMC
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #363
Adversarially Robust Streaming Algorithms via Differential Privacy
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #433
Synthetic Data Generators -- Sequential and Private
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #534
Permute-and-Flip: A new mechanism for differentially private selection
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #644
The Discrete Gaussian for Differential Privacy
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #647
Privacy Amplification via Random Check-Ins
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #648
The Flajolet-Martin Sketch Itself Preserves Differential Privacy: Private Counting with Minimal Space
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #649
Breaking the Communication-Privacy-Accuracy Trilemma
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #650
Towards practical differentially private causal graph discovery
[ Paper ]
Spotlight
Wed Dec 09 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Social/Adversarial Learning
Differentially-Private Federated Linear Bandits
[ Paper ]
Spotlight
Wed Dec 09 08:30 AM -- 08:40 AM (PST) @ Orals & Spotlights: Social/Adversarial Learning
Understanding Gradient Clipping in Private SGD: A Geometric Perspective
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #810
Towards Better Generalization of Adaptive Gradient Methods
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1032
Differentially-Private Federated Linear Bandits
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1081
Understanding Gradient Clipping in Private SGD: A Geometric Perspective
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1468
Bayesian Pseudocoresets
[ Paper ]
Tutorial
Thu Dec 10 12:00 PM -- 12:50 PM (PST)
(Track1) Federated Learning and Analytics: Industry Meets Academia Q&A
Workshop
Fri Dec 11 01:20 AM -- 01:25 PM (PST)
Privacy Preserving Machine Learning - PriML and PPML Joint Edition