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Spotlight Session
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Wed 13:30
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SA: Privacy-preserving Statistics and Machine Learning
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Spotlight
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Wed 14:40
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Secure Quantized Training for Deep Learning
Marcel Keller · Ke Sun
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Poster
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Wed 15:30
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Secure Quantized Training for Deep Learning
Marcel Keller · Ke Sun
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Oral
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Thu 13:10
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Optimal Algorithms for Mean Estimation under Local Differential Privacy
Hilal Asi · Vitaly Feldman · Kunal Talwar
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Poster
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Thu 15:00
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Optimal Algorithms for Mean Estimation under Local Differential Privacy
Hilal Asi · Vitaly Feldman · Kunal Talwar
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Spotlight
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Tue 7:55
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Transfer Learning In Differential Privacy's Hybrid-Model
Refael Kohen · Or Sheffet
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Poster
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Tue 15:30
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Transfer Learning In Differential Privacy's Hybrid-Model
Refael Kohen · Or Sheffet
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Spotlight
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Tue 7:30
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Differentially Private Approximate Quantiles
Haim Kaplan · Shachar Schnapp · Uri Stemmer
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Oral
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Wed 8:05
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Privacy for Free: How does Dataset Condensation Help Privacy?
Tian Dong · Bo Zhao · Lingjuan Lyu
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Poster
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Wed 15:30
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Privacy for Free: How does Dataset Condensation Help Privacy?
Tian Dong · Bo Zhao · Lingjuan Lyu
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Spotlight
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Wed 10:55
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Differentially Private Maximal Information Coefficients
John Lazarsfeld · Aaron Johnson · Emmanuel Adeniran
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Poster
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Tue 15:30
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Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data
Georgi Ganev · Bristena Oprisanu · Emiliano De Cristofaro
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