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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
Bo-wen Li
    AAML
ArXivPDFHTML

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

40 / 40 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
42
0
0
17 Mar 2025
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
135
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
56
0
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
36
5
0
18 Aug 2024
AdvQDet: Detecting Query-Based Adversarial Attacks with Adversarial
  Contrastive Prompt Tuning
AdvQDet: Detecting Query-Based Adversarial Attacks with Adversarial Contrastive Prompt Tuning
Xin Wang
Kai-xiang Chen
Xingjun Ma
Zhineng Chen
Jingjing Chen
Yu-Gang Jiang
AAML
36
3
0
04 Aug 2024
Spectral regularization for adversarially-robust representation learning
Spectral regularization for adversarially-robust representation learning
Sheng Yang
Jacob A. Zavatone-Veth
C. Pehlevan
AAML
OOD
41
0
0
27 May 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
BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise
  Regression Tasks
BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks
Zhiyuan Cheng
Zhaoyi Liu
Tengda Guo
Shiwei Feng
Dongfang Liu
Mingjie Tang
Xiangyu Zhang
AAML
27
3
0
01 Apr 2024
STBA: Towards Evaluating the Robustness of DNNs for Query-Limited
  Black-box Scenario
STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-box Scenario
Renyang Liu
Kwok-Yan Lam
Wei Zhou
Sixing Wu
Jun Zhao
Dongting Hu
Mingming Gong
AAML
28
0
0
30 Mar 2024
Exploring Vulnerabilities of No-Reference Image Quality Assessment
  Models: A Query-Based Black-Box Method
Exploring Vulnerabilities of No-Reference Image Quality Assessment Models: A Query-Based Black-Box Method
Chenxi Yang
Yujia Liu
Dingquan Li
Tingting Jiang
35
6
0
10 Jan 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
70
0
0
20 Dec 2023
Boosting Adversarial Transferability by Block Shuffle and Rotation
Boosting Adversarial Transferability by Block Shuffle and Rotation
Kunyu Wang
Xu He
Wenxuan Wang
Xiaosen Wang
AAML
20
36
0
20 Aug 2023
Theoretically Principled Trade-off for Stateful Defenses against
  Query-Based Black-Box Attacks
Theoretically Principled Trade-off for Stateful Defenses against Query-Based Black-Box Attacks
Ashish Hooda
Neal Mangaokar
Ryan Feng
Kassem Fawaz
S. Jha
Atul Prakash
AAML
11
3
0
30 Jul 2023
Membership inference attack with relative decision boundary distance
Membership inference attack with relative decision boundary distance
Jiacheng Xu
Chengxiang Tan
21
1
0
07 Jun 2023
Improving Robustness Against Adversarial Attacks with Deeply Quantized
  Neural Networks
Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks
Ferheen Ayaz
Idris Zakariyya
José Cano
S. Keoh
Jeremy Singer
D. Pau
Mounia Kharbouche-Harrari
19
5
0
25 Apr 2023
Diversifying the High-level Features for better Adversarial
  Transferability
Diversifying the High-level Features for better Adversarial Transferability
Zhiyuan Wang
Zeliang Zhang
Siyuan Liang
Xiaosen Wang
AAML
37
18
0
20 Apr 2023
Prompt Stealing Attacks Against Text-to-Image Generation Models
Prompt Stealing Attacks Against Text-to-Image Generation Models
Xinyue Shen
Y. Qu
Michael Backes
Yang Zhang
22
31
0
20 Feb 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the
  Life-cycle Perspective
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective
Baoyuan Wu
Zihao Zhu
Li Liu
Qingshan Liu
Zhaofeng He
Siwei Lyu
AAML
44
21
0
19 Feb 2023
Improving Adversarial Transferability with Scheduled Step Size and Dual
  Example
Improving Adversarial Transferability with Scheduled Step Size and Dual Example
Zeliang Zhang
Peihan Liu
Xiaosen Wang
Chenliang Xu
AAML
19
3
0
30 Jan 2023
Generalizable Black-Box Adversarial Attack with Meta Learning
Generalizable Black-Box Adversarial Attack with Meta Learning
Fei Yin
Yong Zhang
Baoyuan Wu
Yan Feng
Jingyi Zhang
Yanbo Fan
Yujiu Yang
AAML
24
27
0
01 Jan 2023
Understanding the Vulnerability of Skeleton-based Human Activity
  Recognition via Black-box Attack
Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack
Yunfeng Diao
He-Nan Wang
Tianjia Shao
Yong-Liang Yang
Kun Zhou
David C. Hogg
Meng Wang
AAML
32
6
0
21 Nov 2022
DeltaBound Attack: Efficient decision-based attack in low queries regime
DeltaBound Attack: Efficient decision-based attack in low queries regime
L. Rossi
AAML
12
0
0
01 Oct 2022
Membership-Doctor: Comprehensive Assessment of Membership Inference
  Against Machine Learning Models
Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models
Xinlei He
Zheng Li
Weilin Xu
Cory Cornelius
Yang Zhang
MIACV
18
24
0
22 Aug 2022
Membership Inference Attack Using Self Influence Functions
Membership Inference Attack Using Self Influence Functions
Gilad Cohen
Raja Giryes
TDI
25
12
0
26 May 2022
Leveraging Adversarial Examples to Quantify Membership Information
  Leakage
Leveraging Adversarial Examples to Quantify Membership Information Leakage
Ganesh Del Grosso
Hamid Jalalzai
Georg Pichler
C. Palamidessi
Pablo Piantanida
MIACV
23
21
0
17 Mar 2022
StratDef: Strategic Defense Against Adversarial Attacks in ML-based
  Malware Detection
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection
Aqib Rashid
Jose Such
AAML
16
5
0
15 Feb 2022
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint
  Ensembles
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles
Ashish Hooda
Neal Mangaokar
Ryan Feng
Kassem Fawaz
S. Jha
Atul Prakash
24
11
0
11 Feb 2022
Query Efficient Decision Based Sparse Attacks Against Black-Box Deep
  Learning Models
Query Efficient Decision Based Sparse Attacks Against Black-Box Deep Learning Models
Viet Vo
Ehsan Abbasnejad
D. Ranasinghe
AAML
22
14
0
31 Jan 2022
Triangle Attack: A Query-efficient Decision-based Adversarial Attack
Triangle Attack: A Query-efficient Decision-based Adversarial Attack
Xiaosen Wang
Zeliang Zhang
Kangheng Tong
Dihong Gong
Kun He
Zhifeng Li
Wei Liu
AAML
19
56
0
13 Dec 2021
Robust and Accurate Object Detection via Self-Knowledge Distillation
Robust and Accurate Object Detection via Self-Knowledge Distillation
Weipeng Xu
Pengzhi Chu
Renhao Xie
Xiongziyan Xiao
Hongcheng Huang
AAML
ObjD
19
4
0
14 Nov 2021
Meta-Learning the Search Distribution of Black-Box Random Search Based
  Adversarial Attacks
Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks
Maksym Yatsura
J. H. Metzen
Matthias Hein
OOD
24
14
0
02 Nov 2021
AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value
  Analysis
AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis
Junfeng Guo
Ang Li
Cong Liu
AAML
45
74
0
28 Oct 2021
Training Meta-Surrogate Model for Transferable Adversarial Attack
Training Meta-Surrogate Model for Transferable Adversarial Attack
Yunxiao Qin
Yuanhao Xiong
Jinfeng Yi
Cho-Jui Hsieh
AAML
12
18
0
05 Sep 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
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities
  in Machine Learning Systems
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems
Yue Gao
Ilia Shumailov
Kassem Fawaz
AAML
27
10
0
18 Apr 2021
Nonlinear Projection Based Gradient Estimation for Query Efficient
  Blackbox Attacks
Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks
Huichen Li
Linyi Li
Xiaojun Xu
Xiaolu Zhang
Shuang Yang
Bo-wen Li
AAML
20
17
0
25 Feb 2021
RoBIC: A benchmark suite for assessing classifiers robustness
RoBIC: A benchmark suite for assessing classifiers robustness
Thibault Maho
Benoît Bonnet
Teddy Furon
Erwan Le Merrer
AAML
19
4
0
10 Feb 2021
Targeted Physical-World Attention Attack on Deep Learning Models in Road
  Sign Recognition
Targeted Physical-World Attention Attack on Deep Learning Models in Road Sign Recognition
Xinghao Yang
Weifeng Liu
Shengli Zhang
Wei Liu
Dacheng Tao
AAML
19
27
0
09 Oct 2020
Membership Leakage in Label-Only Exposures
Membership Leakage in Label-Only Exposures
Zheng Li
Yang Zhang
15
237
0
30 Jul 2020
G-PATE: Scalable Differentially Private Data Generator via Private
  Aggregation of Teacher Discriminators
G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators
Yunhui Long
Boxin Wang
Zhuolin Yang
B. Kailkhura
Aston Zhang
C.A. Gunter
Bo-wen Li
8
72
0
21 Jun 2019
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