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On the Evaluation of User Privacy in Deep Neural Networks using Timing
  Side Channel

On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel

1 August 2022
Shubhi Shukla
Manaar Alam
Sarani Bhattacharya
Debdeep Mukhopadhyay
Pabitra Mitra
    AAML
ArXivPDFHTML

Papers citing "On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel"

3 / 3 papers shown
Title
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
152
349
0
25 Sep 2021
Tempered Sigmoid Activations for Deep Learning with Differential Privacy
Tempered Sigmoid Activations for Deep Learning with Differential Privacy
Nicolas Papernot
Abhradeep Thakurta
Shuang Song
Steve Chien
Ulfar Erlingsson
AAML
141
178
0
28 Jul 2020
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
258
36,371
0
25 Aug 2016
1