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59 Results
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Poster
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Tue 9:00 |
Differentially Private Model Compression FatemehSadat Mireshghallah · Arturs Backurs · Huseyin A. Inan · Lukas Wutschitz · Janardhan Kulkarni |
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Poster
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Tue 9:00 |
Differentially Private Learning Needs Hidden State (Or Much Faster Convergence) Jiayuan Ye · Reza Shokri |
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Poster
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Thu 9:00 |
DP-PCA: Statistically Optimal and Differentially Private PCA Xiyang Liu · Weihao Kong · Prateek Jain · Sewoong Oh |
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Poster
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Wed 9:00 |
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma Gautam Kamath · Argyris Mouzakis · Vikrant Singhal |
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Workshop
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Differentially Private CutMix for Split Learning with Vision Transformer Seungeun Oh · Jihong Park · Sihun Baek · Hyelin Nam · Praneeth Vepakomma · Ramesh Raskar · Mehdi Bennis · Seong-Lyun Kim |
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Poster
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Thu 9:00 |
Differentially Private Generalized Linear Models Revisited Raman Arora · Raef Bassily · Cristóbal Guzmán · Michael Menart · Enayat Ullah |
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Poster
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Thu 14:00 |
SeqPATE: Differentially Private Text Generation via Knowledge Distillation Zhiliang Tian · Yingxiu Zhao · Ziyue Huang · Yu-Xiang Wang · Nevin L. Zhang · He He |
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Poster
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Thu 9:00 |
Archimedes Meets Privacy: On Privately Estimating Quantiles in High Dimensions Under Minimal Assumptions Omri Ben-Eliezer · Dan Mikulincer · Ilias Zadik |
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Poster
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Thu 9:00 |
Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams Sergey Denisov · H. Brendan McMahan · John Rush · Adam Smith · Abhradeep Guha Thakurta |
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Poster
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Thu 9:00 |
When Does Differentially Private Learning Not Suffer in High Dimensions? Xuechen Li · Daogao Liu · Tatsunori Hashimoto · Huseyin A. Inan · Janardhan Kulkarni · Yin-Tat Lee · Abhradeep Guha Thakurta |
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Poster
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Wed 9:00 |
A General Framework for Auditing Differentially Private Machine Learning Fred Lu · Joseph Munoz · Maya Fuchs · Tyler LeBlond · Elliott Zaresky-Williams · Edward Raff · Francis Ferraro · Brian Testa |