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SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles

SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles

11 April 2022
Cuong Tran
Keyu Zhu
Ferdinando Fioretto
Pascal Van Hentenryck
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Papers citing "SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles"

3 / 3 papers shown
Title
PFGuard: A Generative Framework with Privacy and Fairness Safeguards
PFGuard: A Generative Framework with Privacy and Fairness Safeguards
Soyeon Kim
Yuji Roh
Geon Heo
Steven Euijong Whang
31
0
0
03 Oct 2024
Fair Representation Learning through Implicit Path Alignment
Fair Representation Learning through Implicit Path Alignment
Changjian Shui
Qi Chen
Jiaqi Li
Boyu Wang
Christian Gagné
36
28
0
26 May 2022
Opacus: User-Friendly Differential Privacy Library in PyTorch
Opacus: User-Friendly Differential Privacy Library in PyTorch
Ashkan Yousefpour
I. Shilov
Alexandre Sablayrolles
Davide Testuggine
Karthik Prasad
...
Sayan Gosh
Akash Bharadwaj
Jessica Zhao
Graham Cormode
Ilya Mironov
VLM
144
348
0
25 Sep 2021
1