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HASI: Hardware-Accelerated Stochastic Inference, A Defense Against
  Adversarial Machine Learning Attacks

HASI: Hardware-Accelerated Stochastic Inference, A Defense Against Adversarial Machine Learning Attacks

9 June 2021
Mohammad Hossein Samavatian
Saikat Majumdar
Kristin Barber
R. Teodorescu
    AAML
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Papers citing "HASI: Hardware-Accelerated Stochastic Inference, A Defense Against Adversarial Machine Learning Attacks"

4 / 4 papers shown
Title
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve
  Adversarial Robustness
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness
Ahmadreza Jeddi
M. Shafiee
Michelle Karg
C. Scharfenberger
A. Wong
OOD
AAML
48
63
0
02 Mar 2020
A New Defense Against Adversarial Images: Turning a Weakness into a
  Strength
A New Defense Against Adversarial Images: Turning a Weakness into a Strength
Tao Yu
Shengyuan Hu
Chuan Guo
Wei-Lun Chao
Kilian Q. Weinberger
AAML
50
101
0
16 Oct 2019
On adversarial patches: real-world attack on ArcFace-100 face
  recognition system
On adversarial patches: real-world attack on ArcFace-100 face recognition system
Mikhail Aleksandrovich Pautov
Grigorii Melnikov
Edgar Kaziakhmedov
Klim Kireev
Aleksandr Petiushko
CVBM
PICV
AAML
30
53
0
15 Oct 2019
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
250
5,830
0
08 Jul 2016
1