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Black-box Adversarial Attacks with Limited Queries and Information
v1v2v3 (latest)

Black-box Adversarial Attacks with Limited Queries and Information

International Conference on Machine Learning (ICML), 2018
23 April 2018
Andrew Ilyas
Logan Engstrom
Anish Athalye
Jessy Lin
    MLAUAAML
ArXiv (abs)PDFHTML

Papers citing "Black-box Adversarial Attacks with Limited Queries and Information"

50 / 684 papers shown
A Perceptual Distortion Reduction Framework: Towards Generating
  Adversarial Examples with High Perceptual Quality and Attack Success Rate
A Perceptual Distortion Reduction Framework: Towards Generating Adversarial Examples with High Perceptual Quality and Attack Success RateIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2021
Ruijie Yang
Yunhong Wang
Ruikui Wang
Yuanfang Guo
AAMLDiffM
167
1
0
01 May 2021
Black-box adversarial attacks using Evolution Strategies
Black-box adversarial attacks using Evolution Strategies
Hao Qiu
Leonardo Lucio Custode
Giovanni Iacca
AAML
248
24
0
30 Apr 2021
Delving into Data: Effectively Substitute Training for Black-box Attack
Delving into Data: Effectively Substitute Training for Black-box AttackComputer Vision and Pattern Recognition (CVPR), 2021
Wenxuan Wang
Bangjie Yin
Taiping Yao
Li Zhang
Yanwei Fu
Shouhong Ding
Jilin Li
Feiyue Huang
Xiangyang Xue
AAML
228
70
0
26 Apr 2021
Random Noise Defense Against Query-Based Black-Box Attacks
Random Noise Defense Against Query-Based Black-Box AttacksNeural Information Processing Systems (NeurIPS), 2021
Zeyu Qin
Yanbo Fan
H. Zha
Baoyuan Wu
AAML
269
68
0
23 Apr 2021
Performance Evaluation of Adversarial Attacks: Discrepancies and
  Solutions
Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions
Jing Wu
Mingyi Zhou
Ce Zhu
Yipeng Liu
Mehrtash Harandi
Li Li
AAML
207
18
0
22 Apr 2021
Staircase Sign Method for Boosting Adversarial Attacks
Staircase Sign Method for Boosting Adversarial Attacks
Qilong Zhang
Xiaosu Zhu
Jingkuan Song
Lianli Gao
Heng Tao Shen
AAML
161
15
0
20 Apr 2021
Adversarial Diffusion Attacks on Graph-based Traffic Prediction Models
Adversarial Diffusion Attacks on Graph-based Traffic Prediction ModelsIEEE Internet of Things Journal (IEEE IoT Journal), 2021
Lyuyi Zhu
Kairui Feng
Ziyuan Pu
Wei-Ying Ma
AAMLDiffM
195
25
0
19 Apr 2021
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities
  in Machine Learning Systems
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning SystemsInternational Conference on Machine Learning (ICML), 2021
Yue Gao
Ilia Shumailov
Kassem Fawaz
AAML
405
12
0
18 Apr 2021
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure
  DNN Accelerators
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN AcceleratorsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
David Stutz
Nandhini Chandramoorthy
Matthias Hein
Bernt Schiele
AAMLMQ
268
19
0
16 Apr 2021
Simpler Certified Radius Maximization by Propagating Covariances
Simpler Certified Radius Maximization by Propagating CovariancesComputer Vision and Pattern Recognition (CVPR), 2021
Xingjian Zhen
Rudrasis Chakraborty
Vikas Singh
AAML
127
5
0
13 Apr 2021
Enhancing the Transferability of Adversarial Attacks through Variance
  Tuning
Enhancing the Transferability of Adversarial Attacks through Variance TuningComputer Vision and Pattern Recognition (CVPR), 2021
Xiaosen Wang
Kun He
AAML
534
517
0
29 Mar 2021
IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for
  Visual Object Tracking
IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object TrackingComputer Vision and Pattern Recognition (CVPR), 2021
Shuai Jia
Yibing Song
Chao Ma
Xiaokang Yang
AAML
288
63
0
27 Mar 2021
Combating Adversaries with Anti-Adversaries
Combating Adversaries with Anti-AdversariesAAAI Conference on Artificial Intelligence (AAAI), 2021
Motasem Alfarra
Juan C. Pérez
Ali K. Thabet
Adel Bibi
Juil Sock
Guohao Li
AAML
291
33
0
26 Mar 2021
LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial
  Attack
LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack
Ashkan Esmaeili
Marzieh Edraki
Nazanin Rahnavard
M. Shah
Lin Wang
AAML
213
2
0
19 Mar 2021
Can Targeted Adversarial Examples Transfer When the Source and Target
  Models Have No Label Space Overlap?
Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap?
Nathan Inkawhich
Kevin J. Liang
Jingyang Zhang
Huanrui Yang
Xue Yang
Yiran Chen
AAML
126
5
0
17 Mar 2021
Attack as Defense: Characterizing Adversarial Examples using Robustness
Attack as Defense: Characterizing Adversarial Examples using RobustnessInternational Symposium on Software Testing and Analysis (ISSTA), 2021
Zhe Zhao
Guangke Chen
Jingyi Wang
Yiwei Yang
Fu Song
Jun Sun
AAML
214
36
0
13 Mar 2021
A Unified Game-Theoretic Interpretation of Adversarial Robustness
A Unified Game-Theoretic Interpretation of Adversarial Robustness
Jie Ren
Die Zhang
Yisen Wang
Lu Chen
Zhanpeng Zhou
...
Feng He
Xin Eric Wang
Meng Zhou
Jie Shi
Quanshi Zhang
AAML
294
28
0
12 Mar 2021
Practical Relative Order Attack in Deep Ranking
Practical Relative Order Attack in Deep RankingIEEE International Conference on Computer Vision (ICCV), 2021
Mo Zhou
Le Wang
Zhenxing Niu
Qilin Zhang
Yinghui Xu
N. Zheng
G. Hua
369
19
0
09 Mar 2021
Packet-Level Adversarial Network Traffic Crafting using Sequence Generative Adversarial Networks
Qiumei Cheng
Shiying Zhou
Yi Shen
Dezhang Kong
Chunming Wu
GAN
206
21
0
08 Mar 2021
Hard-label Manifolds: Unexpected Advantages of Query Efficiency for
  Finding On-manifold Adversarial Examples
Hard-label Manifolds: Unexpected Advantages of Query Efficiency for Finding On-manifold Adversarial Examples
Washington Garcia
Pin-Yu Chen
S. Jha
Scott Clouse
Kevin R. B. Butler
AAML
107
0
0
04 Mar 2021
Online Adversarial Attacks
Online Adversarial AttacksInternational Conference on Learning Representations (ICLR), 2021
Andjela Mladenovic
A. Bose
Hugo Berard
William L. Hamilton
Damien Scieur
Pascal Vincent
Gauthier Gidel
AAML
267
12
0
02 Mar 2021
Nonlinear Projection Based Gradient Estimation for Query Efficient
  Blackbox Attacks
Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox AttacksInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Huichen Li
Linyi Li
Xiaojun Xu
Xiaolu Zhang
Shuang Yang
Yue Liu
AAML
156
17
0
25 Feb 2021
Oriole: Thwarting Privacy against Trustworthy Deep Learning Models
Oriole: Thwarting Privacy against Trustworthy Deep Learning ModelsAustralasian Conference on Information Security and Privacy (ACISP), 2021
Liuqiao Chen
Hu Wang
Benjamin Zi Hao Zhao
Minhui Xue
Hai-feng Qian
PICV
116
4
0
23 Feb 2021
A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale
  Black-Box Optimization
A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box OptimizationInternational Conference on Machine Learning (ICML), 2021
HanQin Cai
Y. Lou
Daniel McKenzie
W. Yin
272
56
0
21 Feb 2021
The Effects of Image Distribution and Task on Adversarial Robustness
The Effects of Image Distribution and Task on Adversarial Robustness
Owen Kunhardt
Arturo Deza
T. Poggio
186
3
0
21 Feb 2021
Dompteur: Taming Audio Adversarial Examples
Dompteur: Taming Audio Adversarial ExamplesUSENIX Security Symposium (USENIX Security), 2021
Thorsten Eisenhofer
Lea Schonherr
Joel Frank
Lars Speckemeier
D. Kolossa
Thorsten Holz
AAML
265
27
0
10 Feb 2021
Statistical Inference for Polyak-Ruppert Averaged Zeroth-order
  Stochastic Gradient Algorithm
Statistical Inference for Polyak-Ruppert Averaged Zeroth-order Stochastic Gradient Algorithm
Yanhao Jin
Tesi Xiao
Krishnakumar Balasubramanian
245
7
0
10 Feb 2021
Security and Privacy for Artificial Intelligence: Opportunities and
  Challenges
Security and Privacy for Artificial Intelligence: Opportunities and Challenges
Ayodeji Oseni
Nour Moustafa
Helge Janicke
Peng Liu
Z. Tari
A. Vasilakos
AAML
166
65
0
09 Feb 2021
HumanACGAN: conditional generative adversarial network with human-based
  auxiliary classifier and its evaluation in phoneme perception
HumanACGAN: conditional generative adversarial network with human-based auxiliary classifier and its evaluation in phoneme perceptionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Yota Ueda
Kazuki Fujii
Yuki Saito
Shinnosuke Takamichi
Yukino Baba
Hiroshi Saruwatari
GAN
95
1
0
08 Feb 2021
Adversarial Imaging Pipelines
Adversarial Imaging PipelinesComputer Vision and Pattern Recognition (CVPR), 2021
Buu Phan
Fahim Mannan
Felix Heide
AAML
175
28
0
07 Feb 2021
PredCoin: Defense against Query-based Hard-label Attack
PredCoin: Defense against Query-based Hard-label Attack
Junfeng Guo
Yaswanth Yadlapalli
Lothar Thiele
Ang Li
Cong Liu
AAML
168
0
0
04 Feb 2021
Towards Imperceptible Query-limited Adversarial Attacks with Perceptual
  Feature Fidelity Loss
Towards Imperceptible Query-limited Adversarial Attacks with Perceptual Feature Fidelity Loss
Pengrui Quan
Ruiming Guo
Mani B. Srivastava
AAML
182
2
0
31 Jan 2021
You Only Query Once: Effective Black Box Adversarial Attacks with
  Minimal Repeated Queries
You Only Query Once: Effective Black Box Adversarial Attacks with Minimal Repeated Queries
Devin Willmott
Anit Kumar Sahu
Fatemeh Sheikholeslami
Filipe Condessa
Zico Kolter
MLAUAAML
231
3
0
29 Jan 2021
Investigating the significance of adversarial attacks and their relation
  to interpretability for radar-based human activity recognition systems
Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systemsComputer Vision and Image Understanding (CVIU), 2021
Utku Ozbulak
Baptist Vandersmissen
A. Jalalvand
Ivo Couckuyt
Arnout Van Messem
W. D. Neve
AAML
111
20
0
26 Jan 2021
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles
AdvSim: Generating Safety-Critical Scenarios for Self-Driving VehiclesComputer Vision and Pattern Recognition (CVPR), 2021
Jingkang Wang
Ava Pun
James Tu
S. Manivasagam
Abbas Sadat
Sergio Casas
Mengye Ren
R. Urtasun
402
216
0
16 Jan 2021
Adversarial Robustness by Design through Analog Computing and Synthetic
  Gradients
Adversarial Robustness by Design through Analog Computing and Synthetic GradientsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Alessandro Cappelli
Ruben Ohana
Julien Launay
Laurent Meunier
Iacopo Poli
Florent Krzakala
AAML
255
13
0
06 Jan 2021
Local Black-box Adversarial Attacks: A Query Efficient Approach
Local Black-box Adversarial Attacks: A Query Efficient Approach
Tao Xiang
Hangcheng Liu
Shangwei Guo
Tianwei Zhang
X. Liao
AAMLMLAU
189
16
0
04 Jan 2021
Patch-wise++ Perturbation for Adversarial Targeted Attacks
Patch-wise++ Perturbation for Adversarial Targeted Attacks
Lianli Gao
Qilong Zhang
Jingkuan Song
Heng Tao Shen
AAML
286
25
0
31 Dec 2020
Unadversarial Examples: Designing Objects for Robust Vision
Unadversarial Examples: Designing Objects for Robust VisionNeural Information Processing Systems (NeurIPS), 2020
Hadi Salman
Andrew Ilyas
Logan Engstrom
Sai H. Vemprala
Aleksander Madry
Ashish Kapoor
WIGM
215
62
0
22 Dec 2020
Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box
  Optimization Framework
Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework
Pranay Sharma
Kaidi Xu
Sijia Liu
Pin-Yu Chen
Xue Lin
P. Varshney
115
2
0
21 Dec 2020
On Success and Simplicity: A Second Look at Transferable Targeted
  Attacks
On Success and Simplicity: A Second Look at Transferable Targeted AttacksNeural Information Processing Systems (NeurIPS), 2020
Subrat Kishore Dutta
Zhuoran Liu
Martha Larson
AAML
692
147
0
21 Dec 2020
DSRNA: Differentiable Search of Robust Neural Architectures
DSRNA: Differentiable Search of Robust Neural ArchitecturesComputer Vision and Pattern Recognition (CVPR), 2020
Ramtin Hosseini
Xingyi Yang
P. Xie
OODAAML
214
57
0
11 Dec 2020
Backpropagating Linearly Improves Transferability of Adversarial
  Examples
Backpropagating Linearly Improves Transferability of Adversarial Examples
Yiwen Guo
Qizhang Li
Hao Chen
FedMLAAML
341
128
0
07 Dec 2020
Learning to Separate Clusters of Adversarial Representations for Robust
  Adversarial Detection
Learning to Separate Clusters of Adversarial Representations for Robust Adversarial Detection
Byunggill Joe
Jihun Hamm
Sung Ju Hwang
Sooel Son
I. Shin
AAMLOOD
219
0
0
07 Dec 2020
Practical No-box Adversarial Attacks against DNNs
Practical No-box Adversarial Attacks against DNNsNeural Information Processing Systems (NeurIPS), 2020
Qizhang Li
Yiwen Guo
Hao Chen
AAML
232
66
0
04 Dec 2020
An Empirical Study of Derivative-Free-Optimization Algorithms for
  Targeted Black-Box Attacks in Deep Neural Networks
An Empirical Study of Derivative-Free-Optimization Algorithms for Targeted Black-Box Attacks in Deep Neural NetworksOptimization and Engineering (OE), 2020
Giuseppe Ughi
V. Abrol
Jared Tanner
AAML
226
15
0
03 Dec 2020
Boosting Adversarial Attacks on Neural Networks with Better Optimizer
Boosting Adversarial Attacks on Neural Networks with Better Optimizer
Heng Yin
Hengwei Zhang
Jin-dong Wang
Ruiyu Dou
AAML
205
11
0
01 Dec 2020
Adversarial Evaluation of Multimodal Models under Realistic Gray Box
  Assumption
Adversarial Evaluation of Multimodal Models under Realistic Gray Box Assumption
Ivan Evtimov
Russ Howes
Brian Dolhansky
Hamed Firooz
Cristian Canton Ferrer
AAML
164
11
0
25 Nov 2020
SurFree: a fast surrogate-free black-box attack
SurFree: a fast surrogate-free black-box attackComputer Vision and Pattern Recognition (CVPR), 2020
Thibault Maho
Teddy Furon
Erwan Le Merrer
AAML
169
110
0
25 Nov 2020
On Adversarial Robustness of 3D Point Cloud Classification under
  Adaptive Attacks
On Adversarial Robustness of 3D Point Cloud Classification under Adaptive Attacks
Jiachen Sun
Karl Koenig
Yulong Cao
Qi Alfred Chen
Z. Morley Mao
3DPC
168
21
0
24 Nov 2020
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