|
Workshop
|
Fri 9:35
|
Q&A for Frequency Estimation in Local and Multiparty Differential Privacy
|
|
|
Workshop
|
|
Distributed Gaussian Differential Privacy Via Shuffling
Kan Chen · Qi Long
|
|
|
Workshop
|
|
Does Differential Privacy Defeat Data Poisoning?
Matthew Jagielski · Alina Oprea
|
|
|
Spotlight
|
Wed 13:58
|
Differentially Private Learning Needs Better Features (or Much More Data)
Florian Tramer · Dan Boneh
|
|
|
Workshop
|
Fri 9:10
|
Frequency Estimation in Local and Multiparty Differential Privacy
Graham Cormode
|
|
|
Workshop
|
|
Computing Differential Privacy Guarantees for Heterogeneous Compositions Using FFT
Antti Koskela · Antti Honkela
|
|
|
Poster
|
Thu 9:00
|
Differentially Private Learning Needs Better Features (or Much More Data)
Florian Tramer · Dan Boneh
|
|
|
Workshop
|
|
UNDERSTANDING CLIPPED FEDAVG: CONVERGENCE AND CLIENT-LEVEL DIFFERENTIAL PRIVACY
Xinwei Zhang · Xiangyi Chen · Jinfeng Yi · Steven Wu · Mingyi Hong
|
|
|
Workshop
|
|
Towards Prior-Free Approximately Truthful One-Shot Auction Learning via Differential Privacy
Daniel Reusche · Nicolás Della Penna
|
|
|
Poster
|
Thu 1:00
|
Do not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning
Da Yu · Huishuai Zhang · Wei Chen · Tie-Yan Liu
|
|
|
Poster
|
Thu 9:00
|
CaPC Learning: Confidential and Private Collaborative Learning
Christopher Choquette-Choo · Natalie Dullerud · Adam Dziedzic · Yunxiang Zhang · Somesh Jha · Nicolas Papernot · Xiao Wang
|
|
