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A Review of Adversarial Attack and Defense for Classification Methods

A Review of Adversarial Attack and Defense for Classification Methods

18 November 2021
Yao Li
Minhao Cheng
Cho-Jui Hsieh
T. C. Lee
    AAML
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Papers citing "A Review of Adversarial Attack and Defense for Classification Methods"

14 / 14 papers shown
Title
A Brain-Inspired Regularizer for Adversarial Robustness
A Brain-Inspired Regularizer for Adversarial Robustness
Elie Attias
Cengiz Pehlevan
D. Obeid
AAML
OOD
20
0
0
04 Oct 2024
2DSig-Detect: a semi-supervised framework for anomaly detection on image data using 2D-signatures
2DSig-Detect: a semi-supervised framework for anomaly detection on image data using 2D-signatures
Xinheng Xie
Kureha Yamaguchi
Margaux Leblanc
Simon Malzard
Varun Chhabra
Victoria Nockles
Yue-bo Wu
AAML
39
0
0
08 Sep 2024
Spectral regularization for adversarially-robust representation learning
Spectral regularization for adversarially-robust representation learning
Sheng Yang
Jacob A. Zavatone-Veth
Cengiz Pehlevan
AAML
OOD
51
0
0
27 May 2024
A Survey of Neural Network Robustness Assessment in Image Recognition
A Survey of Neural Network Robustness Assessment in Image Recognition
Jie Wang
Jun Ai
Minyan Lu
Haoran Su
Dan Yu
Yutao Zhang
Junda Zhu
Jingyu Liu
AAML
32
3
0
12 Apr 2024
FIMBA: Evaluating the Robustness of AI in Genomics via Feature
  Importance Adversarial Attacks
FIMBA: Evaluating the Robustness of AI in Genomics via Feature Importance Adversarial Attacks
Heorhii Skovorodnikov
Hoda AlKhzaimi
AAML
30
2
0
19 Jan 2024
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A
  Survey
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey
Hanieh Naderi
Ivan V. Bajić
3DPC
38
7
0
01 Jul 2023
The race to robustness: exploiting fragile models for urban camouflage
  and the imperative for machine learning security
The race to robustness: exploiting fragile models for urban camouflage and the imperative for machine learning security
Harriet Farlow
Matthew A. Garratt
G. Mount
T. Lynar
AAML
27
0
0
26 Jun 2023
Performance-optimized deep neural networks are evolving into worse
  models of inferotemporal visual cortex
Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex
Drew Linsley
I. F. Rodriguez
Thomas Fel
Michael Arcaro
Saloni Sharma
Margaret Livingstone
Thomas Serre
35
19
0
06 Jun 2023
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics
  Aspects
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects
Conrad Sanderson
David M. Douglas
Qinghua Lu
43
12
0
17 Apr 2023
Generating Adversarial Attacks in the Latent Space
Generating Adversarial Attacks in the Latent Space
Nitish Shukla
Sudipta Banerjee
33
8
0
10 Apr 2023
PyPop7: A Pure-Python Library for Population-Based Black-Box
  Optimization
PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization
Qiqi Duan
Guochen Zhou
Chang Shao
Zhuowei Wang
Mingyang Feng
Yuwei Huang
Yajing Tan
Yijun Yang
Qi Zhao
Yuhui Shi
36
5
0
12 Dec 2022
On the Convergence and Robustness of Adversarial Training
On the Convergence and Robustness of Adversarial Training
Yisen Wang
Xingjun Ma
James Bailey
Jinfeng Yi
Bowen Zhou
Quanquan Gu
AAML
212
345
0
15 Dec 2021
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
Minhao Cheng
Simranjit Singh
Patrick H. Chen
Pin-Yu Chen
Sijia Liu
Cho-Jui Hsieh
AAML
134
219
0
24 Sep 2019
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
317
5,847
0
08 Jul 2016
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