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Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm

Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm

10 June 2021
Mingkang Zhu
Tianlong Chen
Zhangyang Wang
    AAML
ArXiv (abs)PDFHTMLGithub (9★)

Papers citing "Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm"

13 / 13 papers shown
Title
S-CFE: Simple Counterfactual Explanations
S-CFE: Simple Counterfactual Explanations
Shpresim Sadiku
Moritz Wagner
Sai Ganesh Nagarajan
Sebastian Pokutta
120
1
0
21 Oct 2024
SAIF: Sparse Adversarial and Imperceptible Attack Framework
SAIF: Sparse Adversarial and Imperceptible Attack Framework
Tooba Imtiaz
Morgan Kohler
Jared Miller
Zifeng Wang
Octavia Camps
Mario Sznaier
Octavia Camps
Jennifer Dy
AAML
75
0
0
14 Dec 2022
LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of
  Point Cloud-based Deep Networks
LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud-based Deep Networks
Hang Zhou
Dongdong Chen
Jing Liao
Weiming Zhang
Kejiang Chen
Xiaoyi Dong
Kunlin Liu
G. Hua
Nenghai Yu
3DPC
115
103
0
01 Nov 2020
Geometry-aware Instance-reweighted Adversarial Training
Geometry-aware Instance-reweighted Adversarial Training
Jingfeng Zhang
Jianing Zhu
Gang Niu
Bo Han
Masashi Sugiyama
Mohan Kankanhalli
AAML
53
277
0
05 Oct 2020
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
Jingfeng Zhang
Xilie Xu
Bo Han
Gang Niu
Li-zhen Cui
Masashi Sugiyama
Mohan S. Kankanhalli
AAML
56
404
0
26 Feb 2020
Sparse and Imperceivable Adversarial Attacks
Sparse and Imperceivable Adversarial Attacks
Francesco Croce
Matthias Hein
AAML
97
199
0
11 Sep 2019
A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery
  in Signal Processing, Statistics, and Machine Learning
A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning
Fei Wen
L. Chu
Peilin Liu
Robert C. Qiu
52
153
0
16 Aug 2018
Structured Adversarial Attack: Towards General Implementation and Better
  Interpretability
Structured Adversarial Attack: Towards General Implementation and Better Interpretability
Kaidi Xu
Sijia Liu
Pu Zhao
Pin-Yu Chen
Huan Zhang
Quanfu Fan
Deniz Erdogmus
Yanzhi Wang
Xinyu Lin
AAML
111
161
0
05 Aug 2018
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILMOOD
310
12,069
0
19 Jun 2017
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OODAAML
266
8,555
0
16 Aug 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSLSSegFAtt
250
9,326
0
14 Dec 2015
Deep Neural Networks are Easily Fooled: High Confidence Predictions for
  Unrecognizable Images
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Anh Totti Nguyen
J. Yosinski
Jeff Clune
AAML
169
3,271
0
05 Dec 2014
A Proximal-Gradient Homotopy Method for the Sparse Least-Squares Problem
A Proximal-Gradient Homotopy Method for the Sparse Least-Squares Problem
Lin Xiao
Tong Zhang
79
146
0
14 Mar 2012
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