ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1712.04248
  4. Cited By
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box
  Machine Learning Models
v1v2 (latest)

Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models

12 December 2017
Wieland Brendel
Jonas Rauber
Matthias Bethge
    AAML
ArXiv (abs)PDFHTMLGithub (2865★)

Papers citing "Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models"

50 / 423 papers shown
Title
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
Yuzhe Yang
Guo Zhang
Dina Katabi
Zhi Xu
AAML
100
171
0
28 May 2019
Adversarial Attacks on Remote User Authentication Using Behavioural
  Mouse Dynamics
Adversarial Attacks on Remote User Authentication Using Behavioural Mouse Dynamics
Y. Tan
Alfonso Iacovazzi
I. Homoliak
Yuval Elovici
Alexander Binder
AAML
42
23
0
28 May 2019
Scaleable input gradient regularization for adversarial robustness
Scaleable input gradient regularization for adversarial robustness
Chris Finlay
Adam M. Oberman
AAML
101
79
0
27 May 2019
Enhancing Adversarial Defense by k-Winners-Take-All
Enhancing Adversarial Defense by k-Winners-Take-All
Chang Xiao
Peilin Zhong
Changxi Zheng
AAML
80
99
0
25 May 2019
Taking Care of The Discretization Problem: A Comprehensive Study of the
  Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer
  Domain
Taking Care of The Discretization Problem: A Comprehensive Study of the Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer Domain
Lei Bu
Yuchao Duan
Fu Song
Zhe Zhao
AAML
114
18
0
19 May 2019
Simple Black-box Adversarial Attacks
Simple Black-box Adversarial Attacks
Chuan Guo
Jacob R. Gardner
Yurong You
A. Wilson
Kilian Q. Weinberger
AAML
78
581
0
17 May 2019
Better the Devil you Know: An Analysis of Evasion Attacks using
  Out-of-Distribution Adversarial Examples
Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples
Vikash Sehwag
A. Bhagoji
Liwei Song
Chawin Sitawarin
Daniel Cullina
M. Chiang
Prateek Mittal
OODD
77
26
0
05 May 2019
NATTACK: Learning the Distributions of Adversarial Examples for an
  Improved Black-Box Attack on Deep Neural Networks
NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks
Yandong Li
Lijun Li
Liqiang Wang
Tong Zhang
Boqing Gong
AAML
84
245
0
01 May 2019
POBA-GA: Perturbation Optimized Black-Box Adversarial Attacks via
  Genetic Algorithm
POBA-GA: Perturbation Optimized Black-Box Adversarial Attacks via Genetic Algorithm
Jinyin Chen
Mengmeng Su
Shijing Shen
Hui Xiong
Haibin Zheng
AAML
124
68
0
01 May 2019
Adversarial Training and Robustness for Multiple Perturbations
Adversarial Training and Robustness for Multiple Perturbations
Florian Tramèr
Dan Boneh
AAMLSILM
110
380
0
30 Apr 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
CVBMAAML
79
409
0
09 Apr 2019
Evading Defenses to Transferable Adversarial Examples by
  Translation-Invariant Attacks
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks
Yinpeng Dong
Tianyu Pang
Hang Su
Jun Zhu
SILMAAML
96
856
0
05 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
117
671
0
03 Apr 2019
Curls & Whey: Boosting Black-Box Adversarial Attacks
Curls & Whey: Boosting Black-Box Adversarial Attacks
Yucheng Shi
Siyu Wang
Yahong Han
AAML
131
117
0
02 Apr 2019
Regional Homogeneity: Towards Learning Transferable Universal
  Adversarial Perturbations Against Defenses
Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses
Yingwei Li
S. Bai
Cihang Xie
Zhenyu A. Liao
Xiaohui Shen
Alan Yuille
AAML
143
51
0
01 Apr 2019
On the Vulnerability of CNN Classifiers in EEG-Based BCIs
On the Vulnerability of CNN Classifiers in EEG-Based BCIs
Xiao Zhang
Dongrui Wu
AAML
73
82
0
31 Mar 2019
Scaling up the randomized gradient-free adversarial attack reveals
  overestimation of robustness using established attacks
Scaling up the randomized gradient-free adversarial attack reveals overestimation of robustness using established attacks
Francesco Croce
Jonas Rauber
Matthias Hein
AAML
60
31
0
27 Mar 2019
A geometry-inspired decision-based attack
A geometry-inspired decision-based attack
Yujia Liu
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
77
54
0
26 Mar 2019
The LogBarrier adversarial attack: making effective use of decision
  boundary information
The LogBarrier adversarial attack: making effective use of decision boundary information
Chris Finlay
Aram-Alexandre Pooladian
Adam M. Oberman
AAML
79
25
0
25 Mar 2019
Copying Machine Learning Classifiers
Copying Machine Learning Classifiers
Irene Unceta
Jordi Nin
O. Pujol
96
18
0
05 Mar 2019
On the Effectiveness of Low Frequency Perturbations
On the Effectiveness of Low Frequency Perturbations
Yash Sharma
G. Ding
Marcus A. Brubaker
AAML
92
126
0
28 Feb 2019
advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch
advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch
G. Ding
Luyu Wang
Xiaomeng Jin
74
183
0
20 Feb 2019
On Evaluating Adversarial Robustness
On Evaluating Adversarial Robustness
Nicholas Carlini
Anish Athalye
Nicolas Papernot
Wieland Brendel
Jonas Rauber
Dimitris Tsipras
Ian Goodfellow
Aleksander Madry
Alexey Kurakin
ELMAAML
141
905
0
18 Feb 2019
Robustness of Generalized Learning Vector Quantization Models against
  Adversarial Attacks
Robustness of Generalized Learning Vector Quantization Models against Adversarial Attacks
S. Saralajew
Lars Holdijk
Maike Rees
T. Villmann
OOD
49
19
0
01 Feb 2019
Theoretically Principled Trade-off between Robustness and Accuracy
Theoretically Principled Trade-off between Robustness and Accuracy
Hongyang R. Zhang
Yaodong Yu
Jiantao Jiao
Eric Xing
L. Ghaoui
Michael I. Jordan
187
2,566
0
24 Jan 2019
Characterizing and evaluating adversarial examples for Offline
  Handwritten Signature Verification
Characterizing and evaluating adversarial examples for Offline Handwritten Signature Verification
L. G. Hafemann
R. Sabourin
Luiz Eduardo Soares de Oliveira
AAML
55
44
0
10 Jan 2019
Adversarial Examples Versus Cloud-based Detectors: A Black-box Empirical
  Study
Adversarial Examples Versus Cloud-based Detectors: A Black-box Empirical Study
Xurong Li
S. Ji
Men Han
Juntao Ji
Zhenyu Ren
Yushan Liu
Chunming Wu
AAML
84
31
0
04 Jan 2019
Adversarial Attack and Defense on Graph Data: A Survey
Adversarial Attack and Defense on Graph Data: A Survey
Lichao Sun
Yingtong Dou
Carl Yang
Ji Wang
Yixin Liu
Philip S. Yu
Lifang He
Yangqiu Song
GNNAAML
139
286
0
26 Dec 2018
Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial
  Attacks
Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks
T. Brunner
Frederik Diehl
Michael Truong-Le
Alois Knoll
MLAUAAML
77
117
0
24 Dec 2018
Adversarial Sample Detection for Deep Neural Network through Model
  Mutation Testing
Adversarial Sample Detection for Deep Neural Network through Model Mutation Testing
Jingyi Wang
Guoliang Dong
Jun Sun
Xinyu Wang
Peixin Zhang
AAML
78
191
0
14 Dec 2018
Random Spiking and Systematic Evaluation of Defenses Against Adversarial
  Examples
Random Spiking and Systematic Evaluation of Defenses Against Adversarial Examples
Huangyi Ge
Sze Yiu Chau
Bruno Ribeiro
Ninghui Li
AAML
41
1
0
05 Dec 2018
Bilateral Adversarial Training: Towards Fast Training of More Robust
  Models Against Adversarial Attacks
Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks
Jianyu Wang
Haichao Zhang
OODAAML
87
119
0
26 Nov 2018
Mathematical Analysis of Adversarial Attacks
Mathematical Analysis of Adversarial Attacks
Zehao Dou
Stanley J. Osher
Bao Wang
AAML
67
18
0
15 Nov 2018
Universal Decision-Based Black-Box Perturbations: Breaking
  Security-Through-Obscurity Defenses
Universal Decision-Based Black-Box Perturbations: Breaking Security-Through-Obscurity Defenses
T. A. Hogan
B. Kailkhura
AAML
64
10
0
09 Nov 2018
Exploring Connections Between Active Learning and Model Extraction
Exploring Connections Between Active Learning and Model Extraction
Varun Chandrasekaran
Kamalika Chaudhuri
Irene Giacomelli
Shane Walker
Songbai Yan
MIACV
252
159
0
05 Nov 2018
FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on
  Adversarial Machine Learning
FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning
Faiq Khalid
Muhammad Abdullah Hanif
Semeen Rehman
Junaid Qadir
Mohamed Bennai
AAML
85
34
0
04 Nov 2018
SSCNets: Robustifying DNNs using Secure Selective Convolutional Filters
SSCNets: Robustifying DNNs using Secure Selective Convolutional Filters
Hassan Ali
Faiq Khalid
Hammad Tariq
Muhammad Abdullah Hanif
Semeen Rehman
Rehan Ahmed
Mohamed Bennai
AAML
133
14
0
04 Nov 2018
Efficient Neural Network Robustness Certification with General
  Activation Functions
Efficient Neural Network Robustness Certification with General Activation Functions
Huan Zhang
Tsui-Wei Weng
Pin-Yu Chen
Cho-Jui Hsieh
Luca Daniel
AAML
124
765
0
02 Nov 2018
On the Geometry of Adversarial Examples
On the Geometry of Adversarial Examples
Marc Khoury
Dylan Hadfield-Menell
AAML
79
79
0
01 Nov 2018
Analyzing biological and artificial neural networks: challenges with
  opportunities for synergy?
Analyzing biological and artificial neural networks: challenges with opportunities for synergy?
David Barrett
Ari S. Morcos
Jakob H. Macke
AI4CE
82
110
0
31 Oct 2018
Improved robustness to adversarial examples using Lipschitz regularization of the loss
Chris Finlay
Adam M. Oberman
B. Abbasi
80
34
0
01 Oct 2018
Procedural Noise Adversarial Examples for Black-Box Attacks on Deep
  Convolutional Networks
Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Convolutional Networks
Kenneth T. Co
Luis Muñoz-González
Sixte de Maupeou
Emil C. Lupu
AAML
74
67
0
30 Sep 2018
Low Frequency Adversarial Perturbation
Low Frequency Adversarial Perturbation
Chuan Guo
Jared S. Frank
Kilian Q. Weinberger
AAML
68
168
0
24 Sep 2018
Unrestricted Adversarial Examples
Unrestricted Adversarial Examples
Tom B. Brown
Nicholas Carlini
Chiyuan Zhang
Catherine Olsson
Paul Christiano
Ian Goodfellow
AAML
81
103
0
22 Sep 2018
Query-Efficient Black-Box Attack by Active Learning
Query-Efficient Black-Box Attack by Active Learning
Pengcheng Li
Jinfeng Yi
Lijun Zhang
AAMLMLAU
65
55
0
13 Sep 2018
Certified Adversarial Robustness with Additive Noise
Certified Adversarial Robustness with Additive Noise
Bai Li
Changyou Chen
Wenlin Wang
Lawrence Carin
AAML
117
350
0
10 Sep 2018
Metamorphic Relation Based Adversarial Attacks on Differentiable Neural
  Computer
Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer
Alvin Chan
Lei Ma
Felix Juefei Xu
Xiaofei Xie
Yang Liu
Yew-Soon Ong
OODAAML
59
17
0
07 Sep 2018
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided
  Fuzzing
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided Fuzzing
Xiaofei Xie
Lei Ma
Felix Juefei Xu
Hongxu Chen
Minhui Xue
Yue Liu
Yang Liu
Jianjun Zhao
Jianxiong Yin
Simon See
116
41
0
04 Sep 2018
Adversarial Vision Challenge
Adversarial Vision Challenge
Wieland Brendel
Jonas Rauber
Alexey Kurakin
Nicolas Papernot
Behar Veliqi
M. Salathé
Sharada Mohanty
Matthias Bethge
AAML
79
58
0
06 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
126
162
0
05 Aug 2018
Previous
123456789
Next