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Differentially Private Optimizers Can Learn Adversarially Robust Models

Differentially Private Optimizers Can Learn Adversarially Robust Models

16 November 2022
Yuan Zhang
Zhiqi Bu
ArXivPDFHTML

Papers citing "Differentially Private Optimizers Can Learn Adversarially Robust Models"

4 / 4 papers shown
Title
Scalable and Efficient Training of Large Convolutional Neural Networks
  with Differential Privacy
Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy
Zhiqi Bu
Jialin Mao
Shiyun Xu
139
47
0
21 May 2022
Extracting Training Data from Large Language Models
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
290
1,815
0
14 Dec 2020
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
147
178
0
28 Jul 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
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