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Discretization based Solutions for Secure Machine Learning against
  Adversarial Attacks

Discretization based Solutions for Secure Machine Learning against Adversarial Attacks

8 February 2019
Priyadarshini Panda
I. Chakraborty
Kaushik Roy
    AAML
ArXivPDFHTML

Papers citing "Discretization based Solutions for Secure Machine Learning against Adversarial Attacks"

11 / 11 papers shown
Title
Approximate Computing and the Efficient Machine Learning Expedition
Approximate Computing and the Efficient Machine Learning Expedition
J. Henkel
Hai Helen Li
A. Raghunathan
M. Tahoori
Swagath Venkataramani
Xiaoxuan Yang
Georgios Zervakis
28
17
0
02 Oct 2022
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency
Yonggan Fu
Yang Katie Zhao
Qixuan Yu
Chaojian Li
Yingyan Lin
AAML
52
12
0
11 Sep 2021
Efficiency-driven Hardware Optimization for Adversarially Robust Neural
  Networks
Efficiency-driven Hardware Optimization for Adversarially Robust Neural Networks
Abhiroop Bhattacharjee
Abhishek Moitra
Priyadarshini Panda
AAML
29
8
0
09 May 2021
Exposing the Robustness and Vulnerability of Hybrid 8T-6T SRAM Memory
  Architectures to Adversarial Attacks in Deep Neural Networks
Exposing the Robustness and Vulnerability of Hybrid 8T-6T SRAM Memory Architectures to Adversarial Attacks in Deep Neural Networks
Abhishek Moitra
Priyadarshini Panda
AAML
27
2
0
26 Nov 2020
Blockchain based Attack Detection on Machine Learning Algorithms for IoT
  based E-Health Applications
Blockchain based Attack Detection on Machine Learning Algorithms for IoT based E-Health Applications
Thippa Reddy Gadekallu
Manoj M K
Sivarama Krishnan S
Neeraj Kumar
S. Hakak
S. Bhattacharya
OOD
24
54
0
03 Nov 2020
Rethinking Non-idealities in Memristive Crossbars for Adversarial
  Robustness in Neural Networks
Rethinking Non-idealities in Memristive Crossbars for Adversarial Robustness in Neural Networks
Abhiroop Bhattacharjee
Priyadarshini Panda
AAML
37
19
0
25 Aug 2020
Towards Understanding the Effect of Leak in Spiking Neural Networks
Towards Understanding the Effect of Leak in Spiking Neural Networks
Sayeed Shafayet Chowdhury
Chankyu Lee
Kaushik Roy
27
56
0
15 Jun 2020
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects
  of Discrete Input Encoding and Non-Linear Activations
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations
Saima Sharmin
Nitin Rathi
Priyadarshini Panda
Kaushik Roy
AAML
116
86
0
23 Mar 2020
Exploring Adversarial Attack in Spiking Neural Networks with
  Spike-Compatible Gradient
Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient
Ling Liang
Xing Hu
Lei Deng
Yujie Wu
Guoqi Li
Yufei Ding
Peng Li
Yuan Xie
AAML
24
61
0
01 Jan 2020
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
298
3,115
0
04 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
326
5,849
0
08 Jul 2016
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