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QEBA: Query-Efficient Boundary-Based Blackbox Attack

QEBA: Query-Efficient Boundary-Based Blackbox Attack

28 May 2020
Huichen Li
Xiaojun Xu
Xiaolu Zhang
Shuang Yang
Yue Liu
    AAML
ArXivPDFHTML

Papers citing "QEBA: Query-Efficient Boundary-Based Blackbox Attack"

31 / 31 papers shown
Title
SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks
SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks
Yue Gao
Ilia Shumailov
Kassem Fawaz
AAML
169
0
0
21 Feb 2025
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
Yongyi Su
Yushu Li
Nanqing Liu
Kui Jia
Xulei Yang
Chuan-Sheng Foo
Xun Xu
TTA
AAML
69
1
0
07 Oct 2024
DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization
DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization
Pucheng Dang
Xing Hu
Dong Li
Rui Zhang
Qi Guo
Kaidi Xu
DiffM
66
5
0
18 Aug 2024
Black-Box Decision based Adversarial Attack with Symmetric
  $α$-stable Distribution
Black-Box Decision based Adversarial Attack with Symmetric ααα-stable Distribution
Vignesh Srinivasan
E. Kuruoglu
K. Müller
Wojciech Samek
Shinichi Nakajima
AAML
40
7
0
11 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
CVBM
AAML
39
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
46
661
0
03 Apr 2019
A geometry-inspired decision-based attack
A geometry-inspired decision-based attack
Yujia Liu
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
28
52
0
26 Mar 2019
Open-Sourced Reinforcement Learning Environments for Surgical Robotics
Open-Sourced Reinforcement Learning Environments for Surgical Robotics
Florian Richter
Ryan K. Orosco
Michael C. Yip
OffRL
35
79
0
05 Mar 2019
RED-Attack: Resource Efficient Decision based Attack for Machine
  Learning
RED-Attack: Resource Efficient Decision based Attack for Machine Learning
Faiq Khalid
Hassan Ali
Muhammad Abdullah Hanif
Semeen Rehman
Rehan Ahmed
Mohamed Bennai
AAML
42
14
0
29 Jan 2019
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
MLAU
AAML
26
116
0
24 Dec 2018
Characterizing Adversarial Examples Based on Spatial Consistency
  Information for Semantic Segmentation
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation
Chaowei Xiao
Ruizhi Deng
Yue Liu
Feng Yu
M. Liu
D. Song
AAML
28
99
0
11 Oct 2018
Low Frequency Adversarial Perturbation
Low Frequency Adversarial Perturbation
Chuan Guo
Jared S. Frank
Kilian Q. Weinberger
AAML
46
166
0
24 Sep 2018
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
66
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
75
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
57
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
132
1,194
0
23 Apr 2018
Spatially Transformed Adversarial Examples
Spatially Transformed Adversarial Examples
Chaowei Xiao
Jun-Yan Zhu
Yue Liu
Warren He
M. Liu
D. Song
AAML
48
520
0
08 Jan 2018
Generating Adversarial Examples with Adversarial Networks
Generating Adversarial Examples with Adversarial Networks
Chaowei Xiao
Yue Liu
Jun-Yan Zhu
Warren He
M. Liu
D. Song
GAN
AAML
94
893
0
08 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
55
1,335
0
12 Dec 2017
Robust Physical-World Attacks on Deep Learning Models
Robust Physical-World Attacks on Deep Learning Models
Kevin Eykholt
Ivan Evtimov
Earlence Fernandes
Yue Liu
Amir Rahmati
Chaowei Xiao
Atul Prakash
Tadayoshi Kohno
D. Song
AAML
31
594
0
27 Jul 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
188
11,962
0
19 Jun 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
568
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
149
8,497
0
16 Aug 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
219
7,951
0
23 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.1K
192,638
0
10 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
352
61,900
0
04 Jun 2015
DeepDriving: Learning Affordance for Direct Perception in Autonomous
  Driving
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
Chenyi Chen
Ari Seff
A. Kornhauser
Jianxiong Xiao
62
1,757
0
01 May 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
128
18,922
0
20 Dec 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
243
43,511
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
709
99,991
0
04 Sep 2014
Deep Learning for Detecting Robotic Grasps
Deep Learning for Detecting Robotic Grasps
Ian Lenz
Honglak Lee
Ashutosh Saxena
59
1,636
0
16 Jan 2013
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