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(39 events)   Time zone: Conference local time zone  
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Expo Talk Panel
Sun Jul 12 01:00 PM -- 02:00 PM & Sun Jul 12 08:30 PM -- 09:30 PM (CEST)
On-Device Machine Learning with Apple
Gaurav Kapoor
Poster
Tue Jul 14 04:00 PM -- 04:45 PM & Wed Jul 15 05:00 AM -- 05:45 AM (CEST) @ Virtual
Private Reinforcement Learning with PAC and Regret Guarantees
Giuseppe Vietri · Borja de Balle Pigem · Akshay Krishnamurthy · Steven Wu
[ Slides] 
Poster
Tue Jul 14 04:00 PM -- 04:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (CEST)
An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm
Christopher DeCarolis · Mukul A Ram · Seyed Esmaeili · Yu-Xiang Wang · Furong Huang
Poster
Tue Jul 14 04:00 PM -- 04:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (CEST) @ Virtual
Fast and Private Submodular and $k$-Submodular Functions Maximization with Matroid Constraints
Akbar Rafiey · Yuichi Yoshida
[ Slides] 
Poster
Tue Jul 14 04:00 PM -- 04:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (CEST) @ Virtual
Fast and Private Submodular and $k$-Submodular Functions Maximization with Matroid Constraints
Akbar Rafiey · Yuichi Yoshida
Poster
Tue Jul 14 04:00 PM -- 04:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (CEST)
An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm
Christopher DeCarolis · Mukul A Ram · Seyed Esmaeili · Yu-Xiang Wang · Furong Huang
Poster
Tue Jul 14 04:00 PM -- 04:45 PM & Wed Jul 15 05:00 AM -- 05:45 AM (CEST) @ Virtual
Private Reinforcement Learning with PAC and Regret Guarantees
Giuseppe Vietri · Borja de Balle Pigem · Akshay Krishnamurthy · Steven Wu
Poster
Tue Jul 14 05:00 PM -- 05:45 PM & Wed Jul 15 06:00 AM -- 06:45 AM (CEST) @ Virtual
Oracle Efficient Private Non-Convex Optimization
Seth Neel · Aaron Roth · Giuseppe Vietri · Steven Wu
[ Slides] 
Poster
Tue Jul 14 05:00 PM -- 05:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (CEST)
Differentially Private Set Union
Sivakanth Gopi · Pankaj Gulhane · Janardhan Kulkarni · Judy Hanwen Shen · Milad Shokouhi · Sergey Yekhanin
Poster
Tue Jul 14 05:00 PM -- 05:45 PM & Wed Jul 15 06:00 AM -- 06:45 AM (CEST) @ Virtual
Oracle Efficient Private Non-Convex Optimization
Seth Neel · Aaron Roth · Giuseppe Vietri · Steven Wu
Poster
Tue Jul 14 05:00 PM -- 05:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (CEST)
Differentially Private Set Union
Sivakanth Gopi · Pankaj Gulhane · Janardhan Kulkarni · Judy Hanwen Shen · Milad Shokouhi · Sergey Yekhanin
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Thu Jul 16 05:00 AM -- 05:45 AM (CEST)
Context Aware Local Differential Privacy
Jayadev Acharya · Kallista Bonawitz · Peter Kairouz · Daniel Ramage · Ziteng Sun
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Thu Jul 16 05:00 AM -- 05:45 AM (CEST)
Context Aware Local Differential Privacy
Jayadev Acharya · Kallista Bonawitz · Peter Kairouz · Daniel Ramage · Ziteng Sun
Poster
Tue Jul 14 10:00 PM -- 10:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST)
Bayesian Differential Privacy for Machine Learning
Aleksei Triastcyn · Boi Faltings
Poster
Tue Jul 14 10:00 PM -- 10:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST)
Bayesian Differential Privacy for Machine Learning
Aleksei Triastcyn · Boi Faltings
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (CEST) @ Virtual
Privately Learning Markov Random Fields
Huanyu Zhang · Gautam Kamath · Janardhan Kulkarni · Steven Wu
[ Slides] 
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (CEST)
InstaHide: Instance-hiding Schemes for Private Distributed Learning
Yangsibo Huang · Zhao Song · Kai Li · Sanjeev Arora
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (CEST)
Private Query Release Assisted by Public Data
Raef Bassily · Albert Cheu · Shay Moran · Aleksandar Nikolov · Jonathan Ullman · Steven Wu
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (CEST)
Private Query Release Assisted by Public Data
Raef Bassily · Albert Cheu · Shay Moran · Aleksandar Nikolov · Jonathan Ullman · Steven Wu
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (CEST)
InstaHide: Instance-hiding Schemes for Private Distributed Learning
Yangsibo Huang · Zhao Song · Kai Li · Sanjeev Arora
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (CEST) @ Virtual
Privately Learning Markov Random Fields
Huanyu Zhang · Gautam Kamath · Janardhan Kulkarni · Steven Wu
Poster
Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 06:00 AM -- 06:45 AM (CEST)
(Locally) Differentially Private Combinatorial Semi-Bandits
Xiaoyu Chen · Kai Zheng · Zixin Zhou · Yunchang Yang · Wei Chen · Liwei Wang
Poster
Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 06:00 AM -- 06:45 AM (CEST)
Alleviating Privacy Attacks via Causal Learning
Shruti Tople · Amit Sharma · Aditya Nori
Poster
Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 06:00 AM -- 06:45 AM (CEST)
(Locally) Differentially Private Combinatorial Semi-Bandits
Xiaoyu Chen · Kai Zheng · Zixin Zhou · Yunchang Yang · Wei Chen · Liwei Wang
Poster
Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 06:00 AM -- 06:45 AM (CEST)
Alleviating Privacy Attacks via Causal Learning
Shruti Tople · Amit Sharma · Aditya Nori
Poster
Wed Jul 15 09:00 PM -- 09:45 PM & Thu Jul 16 08:00 AM -- 08:45 AM (CEST)
Private Counting from Anonymous Messages: Near-Optimal Accuracy with Vanishing Communication Overhead
Badih Ghazi · Ravi Kumar · Pasin Manurangsi · Rasmus Pagh
Poster
Wed Jul 15 09:00 PM -- 09:45 PM & Thu Jul 16 10:00 AM -- 10:45 AM (CEST) @ Virtual
Scalable Differential Privacy with Certified Robustness in Adversarial Learning
Hai Phan · My T. Thai · Han Hu · Ruoming Jin · Tong Sun · Dejing Dou
[ Slides] 
Poster
Wed Jul 15 09:00 PM -- 09:45 PM & Thu Jul 16 10:00 AM -- 10:45 AM (CEST) @ Virtual
Scalable Differential Privacy with Certified Robustness in Adversarial Learning
Hai Phan · My T. Thai · Han Hu · Ruoming Jin · Tong Sun · Dejing Dou
Poster
Wed Jul 15 09:00 PM -- 09:45 PM & Thu Jul 16 08:00 AM -- 08:45 AM (CEST)
Private Counting from Anonymous Messages: Near-Optimal Accuracy with Vanishing Communication Overhead
Badih Ghazi · Ravi Kumar · Pasin Manurangsi · Rasmus Pagh
Poster
Thu Jul 16 03:00 PM -- 03:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (CEST) @ Virtual
New Oracle-Efficient Algorithms for Private Synthetic Data Release
Giuseppe Vietri · Grace Tian · Mark Bun · Thomas Steinke · Steven Wu
[ Slides] 
Poster
Thu Jul 16 03:00 PM -- 03:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (CEST) @ Virtual
Privately detecting changes in unknown distributions
Rachel Cummings · Sara Krehbiel · Yuliia Lut · Wanrong Zhang
[ Slides] 
Poster
Thu Jul 16 03:00 PM -- 03:45 PM & Fri Jul 17 03:00 AM -- 03:45 AM (CEST)
Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion
Qinqing Zheng · Jinshuo Dong · Qi Long · Weijie Su
Poster
Thu Jul 16 03:00 PM -- 03:45 PM & Fri Jul 17 03:00 AM -- 03:45 AM (CEST)
Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion
Qinqing Zheng · Jinshuo Dong · Qi Long · Weijie Su
Poster
Thu Jul 16 03:00 PM -- 03:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (CEST) @ Virtual
Privately detecting changes in unknown distributions
Rachel Cummings · Sara Krehbiel · Yuliia Lut · Wanrong Zhang
Poster
Thu Jul 16 03:00 PM -- 03:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (CEST) @ Virtual
New Oracle-Efficient Algorithms for Private Synthetic Data Release
Giuseppe Vietri · Grace Tian · Mark Bun · Thomas Steinke · Steven Wu
Poster
Thu Jul 16 04:00 PM -- 04:45 PM & Fri Jul 17 03:00 AM -- 03:45 AM (CEST)
Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models
Amrita Roy Chowdhury · Theodoros Rekatsinas · Somesh Jha
Poster
Thu Jul 16 04:00 PM -- 04:45 PM & Fri Jul 17 05:00 AM -- 05:45 AM (CEST)
Optimal Differential Privacy Composition for Exponential Mechanisms
Jinshuo Dong · David Durfee · Ryan Rogers
Poster
Thu Jul 16 04:00 PM -- 04:45 PM & Fri Jul 17 05:00 AM -- 05:45 AM (CEST)
Optimal Differential Privacy Composition for Exponential Mechanisms
Jinshuo Dong · David Durfee · Ryan Rogers
Poster
Thu Jul 16 04:00 PM -- 04:45 PM & Fri Jul 17 03:00 AM -- 03:45 AM (CEST)
Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models
Amrita Roy Chowdhury · Theodoros Rekatsinas · Somesh Jha