Skip to yearly menu bar Skip to main content


(26 events)   Timezone:  
Toggle Poster Visibility
Oral
Tue Jun 11 04:00 PM -- 04:20 PM (PDT) @ Room 102
Formal Privacy for Functional Data with Gaussian Perturbations
In Privacy
Ardalan Mirshani · Matthew Reimherr · Aleksandra Slavković
[ Slides]  [ Video] 
Oral
Tue Jun 11 04:20 PM -- 04:25 PM (PDT) @ Room 102
Graphical-model based estimation and inference for differential privacy
In Privacy
Ryan McKenna · Daniel Sheldon · Gerome Miklau
[ Slides]  [ Video] 
Oral
Tue Jun 11 04:30 PM -- 04:35 PM (PDT) @ Room 102
An Optimal Private Stochastic-MAB Algorithm based on Optimal Private Stopping Rule
In Privacy
Touqir Sajed · Or Sheffet
[ Slides] 
Oral
Tue Jun 11 04:35 PM -- 04:40 PM (PDT) @ Room 102
Sublinear Space Private Algorithms Under the Sliding Window Model
In Privacy
Jalaj Upadhyay
[ Slides]  [ Video] 
Oral
Tue Jun 11 04:40 PM -- 05:00 PM (PDT) @ Room 102
Locally Private Bayesian Inference for Count Models
In Privacy
Aaron Schein · Steven Wu · Alexandra Schofield · Mingyuan Zhou · Hanna Wallach
[ Video] 
Oral
Tue Jun 11 05:05 PM -- 05:10 PM (PDT) @ Room 102
Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters
In Privacy
Jayadev Acharya · Ziteng Sun
[ Slides]  [ Video] 
Oral
Tue Jun 11 05:10 PM -- 05:15 PM (PDT) @ Room 102
Poission Subsampled R\'enyi Differential Privacy
In Privacy
Yuqing Zhu · Yu-Xiang Wang
[ Slides]  [ Video] 
Oral
Tue Jun 11 05:15 PM -- 05:20 PM (PDT) @ Room 102
Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA
In Privacy
Jordan Awan · Ana Kenney · Matthew Reimherr · Aleksandra Slavković
[ Slides]  [ Video] 
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #170
Formal Privacy for Functional Data with Gaussian Perturbations
In Posters Tue
Ardalan Mirshani · Matthew Reimherr · Aleksandra Slavković
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #171
Graphical-model based estimation and inference for differential privacy
In Posters Tue
Ryan McKenna · Daniel Sheldon · Gerome Miklau
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #174
Sublinear Space Private Algorithms Under the Sliding Window Model
In Posters Tue
Jalaj Upadhyay
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #175
Locally Private Bayesian Inference for Count Models
In Posters Tue
Aaron Schein · Steven Wu · Alexandra Schofield · Mingyuan Zhou · Hanna Wallach
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #177
Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters
In Posters Tue
Jayadev Acharya · Ziteng Sun
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #178
Poission Subsampled R\'enyi Differential Privacy
In Posters Tue
Yuqing Zhu · Yu-Xiang Wang
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #179
Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA
In Posters Tue
Jordan Awan · Ana Kenney · Matthew Reimherr · Aleksandra Slavković
Invited Talk
Wed Jun 12 09:00 AM -- 10:00 AM (PDT) @ Hall A
The U.S. Census Bureau Tries to be a Good Data Steward in the 21st Century
John M. Abowd
[ Video] 
Oral
Thu Jun 13 09:00 AM -- 09:20 AM (PDT) @ Seaside Ballroom
On Sparse Linear Regression in the Local Differential Privacy Model
In Privacy and Fairness
Di Wang · Jinhui Xu
[ Oral] 
Oral
Thu Jun 13 09:20 AM -- 09:25 AM (PDT) @ Seaside Ballroom
Differentially Private Empirical Risk Minimization with Non-convex Loss Functions
In Privacy and Fairness
Di Wang · Changyou Chen · Jinhui Xu
[ Slides]  [ Oral] 
Oral
Thu Jun 13 09:25 AM -- 09:30 AM (PDT) @ Seaside Ballroom
Bounding User Contributions: A Bias-Variance Trade-off in Differential Privacy
In Privacy and Fairness
Kareem Amin · Alex Kulesza · andres munoz · Sergei Vassilvitskii
[ Slides]  [ Oral] 
Oral
Thu Jun 13 09:30 AM -- 09:35 AM (PDT) @ Seaside Ballroom
Differentially Private Learning of Geometric Concepts
In Privacy and Fairness
Haim Kaplan · Yishay Mansour · Yossi Matias · Uri Stemmer
[ Slides]  [ Oral] 
Oral
Thu Jun 13 11:40 AM -- 12:00 PM (PDT) @ Seaside Ballroom
Differentially Private Fair Learning
In Fairness
Matthew Jagielski · Michael Kearns · Jieming Mao · Alina Oprea · Aaron Roth · Saeed Sharifi-Malvajerdi · Jonathan Ullman
[ Oral] 
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #121
On Sparse Linear Regression in the Local Differential Privacy Model
In Posters Thu
Di Wang · Jinhui Xu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #122
Differentially Private Empirical Risk Minimization with Non-convex Loss Functions
In Posters Thu
Di Wang · Changyou Chen · Jinhui Xu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #123
Bounding User Contributions: A Bias-Variance Trade-off in Differential Privacy
In Posters Thu
Kareem Amin · Alex Kulesza · andres munoz · Sergei Vassilvitskii
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #124
Differentially Private Learning of Geometric Concepts
In Posters Thu
Haim Kaplan · Yishay Mansour · Yossi Matias · Uri Stemmer
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #134
Differentially Private Fair Learning
In Posters Thu
Matthew Jagielski · Michael Kearns · Jieming Mao · Alina Oprea · Aaron Roth · Saeed Sharifi-Malvajerdi · Jonathan Ullman