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(20 events)   Timezone:  
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Expo Talk Panel
Sun Jul 12 04:00 AM -- 05:00 AM & Sun Jul 12 11:30 AM -- 12:30 PM (PDT)
On-Device Machine Learning with Apple
Gaurav Kapoor
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT) @ Virtual
Private Reinforcement Learning with PAC and Regret Guarantees
In Poster Session 1
Giuseppe Vietri · Borja de Balle Pigem · Akshay Krishnamurthy · Steven Wu
[ Slides] 
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm
In Poster Session 1
Christopher DeCarolis · Mukul A Ram · Seyed Esmaeili · Yu-Xiang Wang · Furong Huang
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
Fast and Private Submodular and $k$-Submodular Functions Maximization with Matroid Constraints
In Poster Session 1
Akbar Rafiey · Yuichi Yoshida
[ Slides] 
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT) @ Virtual
Oracle Efficient Private Non-Convex Optimization
In Poster Session 2
Seth Neel · Aaron Roth · Giuseppe Vietri · Steven Wu
[ Slides] 
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Differentially Private Set Union
In Poster Session 2
Sivakanth Gopi · Pankaj Gulhane · Janardhan Kulkarni · Judy Hanwen Shen · Milad Shokouhi · Sergey Yekhanin
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Context Aware Local Differential Privacy
In Poster Session 3
Jayadev Acharya · Kallista Bonawitz · Peter Kairouz · Daniel Ramage · Ziteng Sun
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Bayesian Differential Privacy for Machine Learning
In Poster Session 7
Aleksei Triastcyn · Boi Faltings
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT) @ Virtual
Privately Learning Markov Random Fields
In Poster Session 21
Huanyu Zhang · Gautam Kamath · Janardhan Kulkarni · Steven Wu
[ Slides] 
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
InstaHide: Instance-hiding Schemes for Private Distributed Learning
In Poster Session 21
Yangsibo Huang · Zhao Song · Kai Li · Sanjeev Arora
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Private Query Release Assisted by Public Data
In Poster Session 21
Raef Bassily · Albert Cheu · Shay Moran · Aleksandar Nikolov · Jonathan Ullman · Steven Wu
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
(Locally) Differentially Private Combinatorial Semi-Bandits
In Poster Session 22
Xiaoyu Chen · Kai Zheng · Zixin Zhou · Yunchang Yang · Wei Chen · Liwei Wang
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Alleviating Privacy Attacks via Causal Learning
In Poster Session 22
Shruti Tople · Amit Sharma · Aditya Nori
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Private Counting from Anonymous Messages: Near-Optimal Accuracy with Vanishing Communication Overhead
In Poster Session 26
Badih Ghazi · Ravi Kumar · Pasin Manurangsi · Rasmus Pagh
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT) @ Virtual
Scalable Differential Privacy with Certified Robustness in Adversarial Learning
In Poster Session 26
Hai Phan · My T. Thai · Han Hu · Ruoming Jin · Tong Sun · Dejing Dou
[ Slides] 
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
New Oracle-Efficient Algorithms for Private Synthetic Data Release
In Poster Session 41
Giuseppe Vietri · Grace Tian · Mark Bun · Thomas Steinke · Steven Wu
[ Slides] 
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Privately detecting changes in unknown distributions
In Poster Session 41
Rachel Cummings · Sara Krehbiel · Yuliia Lut · Wanrong Zhang
[ Slides] 
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion
In Poster Session 41
Qinqing Zheng · Jinshuo Dong · Qi Long · Weijie Su
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models
In Poster Session 42
Amrita Roy Chowdhury · Theodoros Rekatsinas · Somesh Jha
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Optimal Differential Privacy Composition for Exponential Mechanisms
In Poster Session 42
Jinshuo Dong · David Durfee · Ryan Rogers