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Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial
  Attacks

Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks

24 December 2018
T. Brunner
Frederik Diehl
Michael Truong-Le
Alois Knoll
    MLAU
    AAML
ArXivPDFHTML

Papers citing "Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks"

20 / 20 papers shown
Title
GSBA$^K$: $top$-$K$ Geometric Score-based Black-box Attack
GSBAK^KK: toptoptop-KKK Geometric Score-based Black-box Attack
Md. Farhamdur Reza
Richeng Jin
Tianfu Wu
H. Dai
AAML
47
0
0
17 Mar 2025
$L_p$-norm Distortion-Efficient Adversarial Attack
LpL_pLp​-norm Distortion-Efficient Adversarial Attack
Chao Zhou
Yuan-Gen Wang
Zi-Jia Wang
Xiangui Kang
34
0
0
03 Jul 2024
BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial
  Attack
BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial Attack
Viet Vo
Ehsan Abbasnejad
D. Ranasinghe
AAML
33
5
0
08 Apr 2024
The Adaptive Arms Race: Redefining Robustness in AI Security
The Adaptive Arms Race: Redefining Robustness in AI Security
Ilias Tsingenopoulos
Vera Rimmer
Davy Preuveneers
Fabio Pierazzi
Lorenzo Cavallaro
Wouter Joosen
AAML
72
0
0
20 Dec 2023
Universal Distributional Decision-based Black-box Adversarial Attack
  with Reinforcement Learning
Universal Distributional Decision-based Black-box Adversarial Attack with Reinforcement Learning
Yiran Huang
Yexu Zhou
Michael Hefenbrock
T. Riedel
Likun Fang
Michael Beigl
AAML
13
3
0
15 Nov 2022
Distributed Black-box Attack: Do Not Overestimate Black-box Attacks
Distributed Black-box Attack: Do Not Overestimate Black-box Attacks
Han-Ching Wu
Sareh Rowlands
Johan Wahlstrom
MLAU
AAML
28
0
0
28 Oct 2022
Attacking deep networks with surrogate-based adversarial black-box
  methods is easy
Attacking deep networks with surrogate-based adversarial black-box methods is easy
Nicholas A. Lord
Romain Mueller
Luca Bertinetto
AAML
MLAU
19
24
0
16 Mar 2022
Art-Attack: Black-Box Adversarial Attack via Evolutionary Art
Art-Attack: Black-Box Adversarial Attack via Evolutionary Art
P. Williams
Ke Li
AAML
24
2
0
07 Mar 2022
RamBoAttack: A Robust Query Efficient Deep Neural Network Decision
  Exploit
RamBoAttack: A Robust Query Efficient Deep Neural Network Decision Exploit
Viet Vo
Ehsan Abbasnejad
D. Ranasinghe
AAML
17
9
0
10 Dec 2021
Decision-based Black-box Attack Against Vision Transformers via
  Patch-wise Adversarial Removal
Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal
Yucheng Shi
Yahong Han
Yu-an Tan
Xiaohui Kuang
38
30
0
07 Dec 2021
Improving Robustness using Generated Data
Improving Robustness using Generated Data
Sven Gowal
Sylvestre-Alvise Rebuffi
Olivia Wiles
Florian Stimberg
D. A. Calian
Timothy A. Mann
30
293
0
18 Oct 2021
Advances in adversarial attacks and defenses in computer vision: A
  survey
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Saeed Mian
Navid Kardan
M. Shah
AAML
26
235
0
01 Aug 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
Ajmal Saeed Mian
AAML
14
2
0
19 Mar 2021
QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval
QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval
Xiaodan Li
Jinfeng Li
YueFeng Chen
Shaokai Ye
Yuan He
Shuhui Wang
Hang Su
Hui Xue
11
44
0
04 Mar 2021
Black-box Adversarial Attacks in Autonomous Vehicle Technology
Black-box Adversarial Attacks in Autonomous Vehicle Technology
K. N. Kumar
Vishnu Chalavadi
Reshmi Mitra
C.Krishna Mohan
AAML
23
70
0
15 Jan 2021
Hardware and Software Optimizations for Accelerating Deep Neural
  Networks: Survey of Current Trends, Challenges, and the Road Ahead
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead
Maurizio Capra
Beatrice Bussolino
Alberto Marchisio
Guido Masera
Maurizio Martina
Muhammad Shafique
BDL
56
140
0
21 Dec 2020
QEBA: Query-Efficient Boundary-Based Blackbox Attack
QEBA: Query-Efficient Boundary-Based Blackbox Attack
Huichen Li
Xiaojun Xu
Xiaolu Zhang
Shuang Yang
Bo-wen Li
AAML
21
177
0
28 May 2020
Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data
Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data
Lu Wang
Huan Zhang
Jinfeng Yi
Cho-Jui Hsieh
Yuan Jiang
AAML
27
12
0
11 May 2020
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
Minhao Cheng
Simranjit Singh
Patrick H. Chen
Pin-Yu Chen
Sijia Liu
Cho-Jui Hsieh
AAML
124
219
0
24 Sep 2019
ML-LOO: Detecting Adversarial Examples with Feature Attribution
ML-LOO: Detecting Adversarial Examples with Feature Attribution
Puyudi Yang
Jianbo Chen
Cho-Jui Hsieh
Jane-ling Wang
Michael I. Jordan
AAML
22
101
0
08 Jun 2019
1