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The 2021 schedule is still incomplete
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Oral
Fri Jul 23 09:00 AM -- 09:20 AM (KST)
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix
In Security and Explanability
Maximilian Lam · Gu-Yeon Wei · David Brooks · Vijay Janapa Reddi · Michael Mitzenmacher
[ Paper ]
Spotlight
Fri Jul 23 09:20 AM -- 09:25 AM (KST)
Provable Lipschitz Certification for Generative Models
In Security and Explanability
Matt Jordan · Alexandros Dimakis
[ Paper ]
Spotlight
Fri Jul 23 09:25 AM -- 09:30 AM (KST)
HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture
In Security and Explanability
Qian Lou · Lei Jiang
[ Paper ]
Spotlight
Fri Jul 23 09:30 AM -- 09:35 AM (KST)
Explanations for Monotonic Classifiers.
In Security and Explanability
Joao Marques-Silva · Thomas Gerspacher · Martin Cooper · Alexey Ignatiev · Nina Narodytska
[ Paper ]
Spotlight
Fri Jul 23 09:35 AM -- 09:40 AM (KST)
Lossless Compression of Efficient Private Local Randomizers
In Security and Explanability
Vitaly Feldman · Kunal Talwar
[ Paper ]
Spotlight
Fri Jul 23 09:40 AM -- 09:45 AM (KST)
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks
In Security and Explanability
Chulin Xie · Minghao Chen · Pin-Yu Chen · Bo Li
[ Paper ]
Spotlight
Fri Jul 23 09:45 AM -- 09:50 AM (KST)
Grey-box Extraction of Natural Language Models
In Security and Explanability
Santiago Zanella-Beguelin · Shruti Tople · Andrew Paverd · Boris Köpf
[ Paper ]
Q&A
Fri Jul 23 09:50 AM -- 09:55 AM (KST)
Q&A
In Security and Explanability