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Practical No-box Adversarial Attacks against DNNs

Practical No-box Adversarial Attacks against DNNs

4 December 2020
Qizhang Li
Yiwen Guo
Hao Chen
    AAML
ArXivPDFHTML

Papers citing "Practical No-box Adversarial Attacks against DNNs"

50 / 57 papers shown
Title
Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation
Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation
Qilong Zhang
Chaoning Zhang
Chaoning Zhang
Chaoqun Li
Xuanhan Wang
Jingkuan Song
Lianli Gao
AAML
72
21
0
09 Mar 2022
Backpropagating Linearly Improves Transferability of Adversarial
  Examples
Backpropagating Linearly Improves Transferability of Adversarial Examples
Yiwen Guo
Qizhang Li
Hao Chen
FedML
AAML
43
115
0
07 Dec 2020
Yet Another Intermediate-Level Attack
Yet Another Intermediate-Level Attack
Qizhang Li
Yiwen Guo
Hao Chen
AAML
38
51
0
20 Aug 2020
DaST: Data-free Substitute Training for Adversarial Attacks
DaST: Data-free Substitute Training for Adversarial Attacks
Mingyi Zhou
Jing Wu
Yipeng Liu
Shuaicheng Liu
Ce Zhu
34
142
0
28 Mar 2020
Disrupting Deepfakes: Adversarial Attacks Against Conditional Image
  Translation Networks and Facial Manipulation Systems
Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems
Nataniel Ruiz
Sarah Adel Bargal
Stan Sclaroff
PICV
AAML
27
119
0
03 Mar 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
218
42,038
0
03 Dec 2019
Enhancing Adversarial Example Transferability with an Intermediate Level
  Attack
Enhancing Adversarial Example Transferability with an Intermediate Level Attack
Qian Huang
Isay Katsman
Horace He
Zeqi Gu
Serge J. Belongie
Ser-Nam Lim
SILM
AAML
42
242
0
23 Jul 2019
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient
  Black-box Attacks
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks
Ziang Yan
Yiwen Guo
Changshui Zhang
AAML
49
111
0
11 Jun 2019
Simple Black-box Adversarial Attacks
Simple Black-box Adversarial Attacks
Chuan Guo
Jacob R. Gardner
Yurong You
A. Wilson
Kilian Q. Weinberger
AAML
48
571
0
17 May 2019
SinGAN: Learning a Generative Model from a Single Natural Image
SinGAN: Learning a Generative Model from a Single Natural Image
Tamar Rott Shaham
Tali Dekel
T. Michaeli
GAN
VLM
90
839
0
02 May 2019
Efficient Decision-based Black-box Adversarial Attacks on Face
  Recognition
Efficient Decision-based Black-box Adversarial Attacks on Face Recognition
Yinpeng Dong
Hang Su
Baoyuan Wu
Zhifeng Li
Wen Liu
Tong Zhang
Jun Zhu
CVBM
AAML
47
406
0
09 Apr 2019
HopSkipJumpAttack: A Query-Efficient Decision-Based Attack
HopSkipJumpAttack: A Query-Efficient Decision-Based Attack
Jianbo Chen
Michael I. Jordan
Martin J. Wainwright
AAML
53
661
0
03 Apr 2019
Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors
Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors
Andrew Ilyas
Logan Engstrom
Aleksander Madry
MLAU
AAML
77
374
0
20 Jul 2018
Query-Efficient Hard-label Black-box Attack:An Optimization-based
  Approach
Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach
Minhao Cheng
Thong Le
Pin-Yu Chen
Jinfeng Yi
Huan Zhang
Cho-Jui Hsieh
AAML
82
346
0
12 Jul 2018
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for
  Attacking Black-box Neural Networks
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks
Chun-Chen Tu
Pai-Shun Ting
Pin-Yu Chen
Sijia Liu
Huan Zhang
Jinfeng Yi
Cho-Jui Hsieh
Shin-Ming Cheng
MLAU
AAML
65
396
0
30 May 2018
Black-box Adversarial Attacks with Limited Queries and Information
Black-box Adversarial Attacks with Limited Queries and Information
Andrew Ilyas
Logan Engstrom
Anish Athalye
Jessy Lin
MLAU
AAML
136
1,194
0
23 Apr 2018
Unsupervised Representation Learning by Predicting Image Rotations
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris
Praveer Singh
N. Komodakis
OOD
SSL
DRL
187
3,272
0
21 Mar 2018
Improving Transferability of Adversarial Examples with Input Diversity
Improving Transferability of Adversarial Examples with Input Diversity
Cihang Xie
Zhishuai Zhang
Yuyin Zhou
Song Bai
Jianyu Wang
Zhou Ren
Alan Yuille
AAML
73
1,108
0
19 Mar 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing
  Defenses to Adversarial Examples
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
Anish Athalye
Nicholas Carlini
D. Wagner
AAML
159
3,171
0
01 Feb 2018
CosFace: Large Margin Cosine Loss for Deep Face Recognition
CosFace: Large Margin Cosine Loss for Deep Face Recognition
Haobo Wang
Yitong Wang
Zheng Zhou
Xing Ji
Dihong Gong
Jin Zhou
Zhifeng Li
Wei Liu
CVBM
MQ
111
2,488
0
29 Jan 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
129
19,124
0
13 Jan 2018
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box
  Machine Learning Models
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models
Wieland Brendel
Jonas Rauber
Matthias Bethge
AAML
61
1,335
0
12 Dec 2017
Progressive Neural Architecture Search
Progressive Neural Architecture Search
Chenxi Liu
Barret Zoph
Maxim Neumann
Jonathon Shlens
Wei Hua
Li Li
Li Fei-Fei
Alan Yuille
Jonathan Huang
Kevin Patrick Murphy
69
1,986
0
02 Dec 2017
Deep Image Prior
Deep Image Prior
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
SupR
95
3,128
0
29 Nov 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
319
26,241
0
05 Sep 2017
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural
  Networks without Training Substitute Models
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models
Pin-Yu Chen
Huan Zhang
Yash Sharma
Jinfeng Yi
Cho-Jui Hsieh
AAML
49
1,864
0
14 Aug 2017
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
SILM
OOD
213
11,962
0
19 Jun 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial
  Networks
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Jun-Yan Zhu
Taesung Park
Phillip Isola
Alexei A. Efros
GAN
89
5,556
0
30 Mar 2017
Adversarial examples for generative models
Adversarial examples for generative models
Jernej Kos
Ian S. Fischer
D. Song
GAN
51
273
0
22 Feb 2017
Adversarial Images for Variational Autoencoders
Adversarial Images for Variational Autoencoders
Pedro Tabacof
Julia Tavares
Eduardo Valle
DRL
AAML
33
84
0
01 Dec 2016
Understanding deep learning requires rethinking generalization
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
260
4,612
0
10 Nov 2016
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
445
3,124
0
04 Nov 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
205
19,796
0
07 Oct 2016
Stealing Machine Learning Models via Prediction APIs
Stealing Machine Learning Models via Prediction APIs
Florian Tramèr
Fan Zhang
Ari Juels
Michael K. Reiter
Thomas Ristenpart
SILM
MLAU
68
1,798
0
09 Sep 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
611
36,599
0
25 Aug 2016
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
160
8,497
0
16 Aug 2016
Transferability in Machine Learning: from Phenomena to Black-Box Attacks
  using Adversarial Samples
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples
Nicolas Papernot
Patrick McDaniel
Ian Goodfellow
SILM
AAML
78
1,735
0
24 May 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
249
7,951
0
23 May 2016
Joint Face Detection and Alignment using Multi-task Cascaded
  Convolutional Networks
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
Kaipeng Zhang
Zhanpeng Zhang
Zhifeng Li
Yu Qiao
CVBM
156
4,940
0
11 Apr 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
128
2,965
0
30 Mar 2016
Colorful Image Colorization
Colorful Image Colorization
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
105
3,524
0
28 Mar 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
277
14,196
0
23 Feb 2016
Practical Black-Box Attacks against Machine Learning
Practical Black-Box Attacks against Machine Learning
Nicolas Papernot
Patrick McDaniel
Ian Goodfellow
S. Jha
Z. Berkay Celik
A. Swami
MLAU
AAML
44
3,656
0
08 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.3K
192,638
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
433
27,231
0
02 Dec 2015
The Limitations of Deep Learning in Adversarial Settings
The Limitations of Deep Learning in Adversarial Settings
Nicolas Papernot
Patrick McDaniel
S. Jha
Matt Fredrikson
Z. Berkay Celik
A. Swami
AAML
60
3,947
0
24 Nov 2015
DeepFool: a simple and accurate method to fool deep neural networks
DeepFool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
P. Frossard
AAML
90
4,878
0
14 Nov 2015
Unsupervised Visual Representation Learning by Context Prediction
Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch
Abhinav Gupta
Alexei A. Efros
DRL
SSL
145
2,777
0
19 May 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
266
13,079
0
12 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
286
43,154
0
11 Feb 2015
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