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The 2021 schedule is still incomplete
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Oral
Thu Jul 22 05:00 PM -- 05:20 PM (PDT)
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix
Maximilian Lam · Gu-Yeon Wei · David Brooks · Vijay Janapa Reddi · Michael Mitzenmacher
[ Paper ]
Spotlight
Thu Jul 22 05:20 PM -- 05:25 PM (PDT)
Provable Lipschitz Certification for Generative Models
Matt Jordan · Alexandros Dimakis
[ Paper ]
Spotlight
Thu Jul 22 05:25 PM -- 05:30 PM (PDT)
HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture
Qian Lou · Lei Jiang
[ Paper ]
Spotlight
Thu Jul 22 05:30 PM -- 05:35 PM (PDT)
Explanations for Monotonic Classifiers.
Joao Marques-Silva · Thomas Gerspacher · Martin Cooper · Alexey Ignatiev · Nina Narodytska
[ Paper ]
Spotlight
Thu Jul 22 05:35 PM -- 05:40 PM (PDT)
Lossless Compression of Efficient Private Local Randomizers
Vitaly Feldman · Kunal Talwar
[ Paper ]
Spotlight
Thu Jul 22 05:40 PM -- 05:45 PM (PDT)
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks
Chulin Xie · Minghao Chen · Pin-Yu Chen · Bo Li
[ Paper ]
Spotlight
Thu Jul 22 05:45 PM -- 05:50 PM (PDT)
Grey-box Extraction of Natural Language Models
Santiago Zanella-Beguelin · Shruti Tople · Andrew Paverd · Boris Köpf
[ Paper ]
Q&A
Thu Jul 22 05:50 PM -- 05:55 PM (PDT)
Q&A