Spotlight Session

Wed 13:30

SA: Privacy-preserving Statistics and Machine Learning

Spotlight

Wed 14:40

Secure Quantized Training for Deep Learning
Marcel Keller · Ke Sun

Poster

Wed 15:30

Secure Quantized Training for Deep Learning
Marcel Keller · Ke Sun

Poster

Thu 15:00

Optimal Algorithms for Mean Estimation under Local Differential Privacy
Hilal Asi · Vitaly Feldman · Kunal Talwar

Oral

Thu 13:10

Optimal Algorithms for Mean Estimation under Local Differential Privacy
Hilal Asi · Vitaly Feldman · Kunal Talwar

Spotlight

Tue 7:55

Transfer Learning In Differential Privacy's Hybrid-Model
Refael Kohen · Or Sheffet

Poster

Tue 15:30

Transfer Learning In Differential Privacy's Hybrid-Model
Refael Kohen · Or Sheffet

Spotlight

Tue 7:30

Differentially Private Approximate Quantiles
Haim Kaplan · Shachar Schnapp · Uri Stemmer

Poster

Wed 15:30

Privacy for Free: How does Dataset Condensation Help Privacy?
Tian Dong · Bo Zhao · Lingjuan Lyu

Oral

Wed 8:05

Privacy for Free: How does Dataset Condensation Help Privacy?
Tian Dong · Bo Zhao · Lingjuan Lyu

Spotlight

Wed 10:55

Differentially Private Maximal Information Coefficients
John Lazarsfeld · Aaron Johnson · Emmanuel Adeniran

Poster

Tue 15:30

Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data
Georgi Ganev · Bristena Oprisanu · Emiliano De Cristofaro