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The 2021 schedule is still incomplete
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Oral
Thu Jul 22 11:00 PM -- 11:20 PM (KST)
Locally Private k-Means in One Round
In Privacy 2
Alisa Chang · Badih Ghazi · Ravi Kumar · Pasin Manurangsi
[ Paper ]
Spotlight
Thu Jul 22 11:20 PM -- 11:25 PM (KST)
Matrix Sketching for Secure Collaborative Machine Learning
In Privacy 2
Mengjiao Zhang · Shusen Wang
[ Paper ]
Spotlight
Thu Jul 22 11:25 PM -- 11:30 PM (KST)
Markpainting: Adversarial Machine Learning meets Inpainting
In Privacy 2
David G Khachaturov · Ilia Shumailov · Yiren Zhao · Nicolas Papernot · Ross Anderson
[ Paper ]
Spotlight
Thu Jul 22 11:30 PM -- 11:35 PM (KST)
Differentially-Private Clustering of Easy Instances
In Privacy 2
Edith Cohen · Haim Kaplan · Yishay Mansour · Uri Stemmer · Eliad Tsfadia
[ Paper ]
Spotlight
Thu Jul 22 11:35 PM -- 11:40 PM (KST)
Inference for Network Regression Models with Community Structure
In Privacy 2
Mengjie Pan · Tyler Mccormick · Bailey Fosdick
[ Paper ]
Spotlight
Thu Jul 22 11:40 PM -- 11:45 PM (KST)
DeepReDuce: ReLU Reduction for Fast Private Inference
In Privacy 2
Nandan Kumar Jha · Zahra Ghodsi · Siddharth Garg · Brandon Reagen
[ Paper ]
Spotlight
Thu Jul 22 11:45 PM -- 11:50 PM (KST)
Label-Only Membership Inference Attacks
In Privacy 2
Christopher Choquette-Choo · Florian Tramer · Nicholas Carlini · Nicolas Papernot
[ Paper ]
Q&A
Thu Jul 22 11:50 PM -- 11:55 PM (KST)
Q&A
In Privacy 2