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Square Attack: a query-efficient black-box adversarial attack via random
  search

Square Attack: a query-efficient black-box adversarial attack via random search

29 November 2019
Maksym Andriushchenko
Francesco Croce
Nicolas Flammarion
Matthias Hein
    AAML
ArXivPDFHTML

Papers citing "Square Attack: a query-efficient black-box adversarial attack via random search"

50 / 229 papers shown
Title
Anti-Sensing: Defense against Unauthorized Radar-based Human Vital Sign Sensing with Physically Realizable Wearable Oscillators
Anti-Sensing: Defense against Unauthorized Radar-based Human Vital Sign Sensing with Physically Realizable Wearable Oscillators
Md Farhan Tasnim Oshim
Nigel Doering
Bashima Islam
Tsui-Wei Weng
Tauhidur Rahman
14
0
0
16 May 2025
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
Hanxun Huang
Sarah Monazam Erfani
Yige Li
Xingjun Ma
James Bailey
AAML
60
0
0
08 May 2025
Adaptive Branch-and-Bound Tree Exploration for Neural Network Verification
Adaptive Branch-and-Bound Tree Exploration for Neural Network Verification
Kota Fukuda
Guanqin Zhang
Zhenya Zhang
Yulei Sui
Jianjun Zhao
50
0
0
02 May 2025
Examining the Impact of Optical Aberrations to Image Classification and Object Detection Models
Examining the Impact of Optical Aberrations to Image Classification and Object Detection Models
Patrick Müller
Alexander Braun
M. Keuper
59
0
0
25 Apr 2025
Diffusion-Driven Universal Model Inversion Attack for Face Recognition
Diffusion-Driven Universal Model Inversion Attack for Face Recognition
Han Wang
Shuo Wang
Chun-Shien Lu
Isao Echizen
89
0
0
25 Apr 2025
RDI: An adversarial robustness evaluation metric for deep neural networks based on sample clustering features
RDI: An adversarial robustness evaluation metric for deep neural networks based on sample clustering features
Jialei Song
Xingquan Zuo
Feiyang Wang
Hai Huang
Tianle Zhang
AAML
172
0
0
16 Apr 2025
Harnessing the Computation Redundancy in ViTs to Boost Adversarial Transferability
Harnessing the Computation Redundancy in ViTs to Boost Adversarial Transferability
Jiani Liu
Zhiyuan Wang
Zeliang Zhang
Chao Huang
Susan Liang
Yunlong Tang
Chenliang Xu
AAML
39
0
0
15 Apr 2025
Evolution-based Region Adversarial Prompt Learning for Robustness Enhancement in Vision-Language Models
Evolution-based Region Adversarial Prompt Learning for Robustness Enhancement in Vision-Language Models
Xiaojun Jia
Sensen Gao
Simeng Qin
Ke Ma
Xianrui Li
Yihao Huang
Wei Dong
Yang Liu
Xiaochun Cao
AAML
VLM
65
2
0
17 Mar 2025
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
HALO: Robust Out-of-Distribution Detection via Joint Optimisation
HALO: Robust Out-of-Distribution Detection via Joint Optimisation
Hugo Lyons Keenan
S. Erfani
Christopher Leckie
OODD
214
0
0
27 Feb 2025
Single-pass Detection of Jailbreaking Input in Large Language Models
Single-pass Detection of Jailbreaking Input in Large Language Models
Leyla Naz Candogan
Yongtao Wu
Elias Abad Rocamora
Grigorios G. Chrysos
V. Cevher
AAML
51
0
0
24 Feb 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
148
0
0
21 Feb 2025
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness
Emanuele Ballarin
A. Ansuini
Luca Bortolussi
AAML
75
0
0
20 Feb 2025
Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via In-the-wild Cascading Flow Optimization
Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via In-the-wild Cascading Flow Optimization
Yixiao Chen
Shikun Sun
Jianshu Li
Ruoyu Li
Zhe Li
Junliang Xing
AAML
109
0
0
04 Feb 2025
With Great Backbones Comes Great Adversarial Transferability
With Great Backbones Comes Great Adversarial Transferability
Erik Arakelyan
Karen Hambardzumyan
Davit Papikyan
Pasquale Minervini
Albert Gordo
Isabelle Augenstein
Aram H. Markosyan
AAML
72
0
0
21 Jan 2025
On the uncertainty principle of neural networks
On the uncertainty principle of neural networks
Jun-Jie Zhang
Dong-xiao Zhang
Jian-Nan Chen
L. Pang
Deyu Meng
67
2
0
17 Jan 2025
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework
Ping Guo
Cheng Gong
Xi Lin
Fei Liu
Zhichao Lu
Qingfu Zhang
Zhenkun Wang
AAML
53
0
0
13 Jan 2025
Standard-Deviation-Inspired Regularization for Improving Adversarial Robustness
Standard-Deviation-Inspired Regularization for Improving Adversarial Robustness
Olukorede Fakorede
Modeste Atsague
Jin Tian
AAML
42
0
0
31 Dec 2024
RobustBlack: Challenging Black-Box Adversarial Attacks on State-of-the-Art Defenses
RobustBlack: Challenging Black-Box Adversarial Attacks on State-of-the-Art Defenses
Mohamed Djilani
Salah Ghamizi
Maxime Cordy
45
0
0
31 Dec 2024
Adversarial Hubness in Multi-Modal Retrieval
Adversarial Hubness in Multi-Modal Retrieval
Tingwei Zhang
Fnu Suya
Rishi Jha
Collin Zhang
Vitaly Shmatikov
AAML
90
1
0
18 Dec 2024
In-Context Experience Replay Facilitates Safety Red-Teaming of Text-to-Image Diffusion Models
In-Context Experience Replay Facilitates Safety Red-Teaming of Text-to-Image Diffusion Models
Zhi-Yi Chin
Kuan-Chen Mu
Mario Fritz
Pin-Yu Chen
DiffM
92
0
0
25 Nov 2024
AI-generated Image Detection: Passive or Watermark?
AI-generated Image Detection: Passive or Watermark?
Moyang Guo
Yuepeng Hu
Zhengyuan Jiang
Zeyu Li
Amir Sadovnik
Arka Daw
Neil Zhenqiang Gong
86
1
0
20 Nov 2024
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks
Yong Xie
Weijie Zheng
Hanxun Huang
Guangnan Ye
Xingjun Ma
AAML
77
1
0
20 Nov 2024
Adversarial Detection with a Dynamically Stable System
Adversarial Detection with a Dynamically Stable System
Xiaowei Long
Jie Lin
Xiangyuan Yang
AAML
43
0
0
11 Nov 2024
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training
Tejaswini Medi
Steffen Jung
M. Keuper
AAML
44
3
0
30 Oct 2024
On Using Certified Training towards Empirical Robustness
On Using Certified Training towards Empirical Robustness
Alessandro De Palma
Serge Durand
Zakaria Chihani
François Terrier
Caterina Urban
OOD
AAML
40
1
0
02 Oct 2024
2DSig-Detect: a semi-supervised framework for anomaly detection on image data using 2D-signatures
2DSig-Detect: a semi-supervised framework for anomaly detection on image data using 2D-signatures
Xinheng Xie
Kureha Yamaguchi
Margaux Leblanc
Simon Malzard
Varun Chhabra
Victoria Nockles
Yue-bo Wu
AAML
47
0
0
08 Sep 2024
Accurate Forgetting for All-in-One Image Restoration Model
Accurate Forgetting for All-in-One Image Restoration Model
Xin Su
Zhuoran Zheng
CLL
43
1
0
01 Sep 2024
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective
Tal Alter
Raz Lapid
Moshe Sipper
AAML
62
6
0
25 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
48
4
0
04 Aug 2024
Guardians of Image Quality: Benchmarking Defenses Against Adversarial
  Attacks on Image Quality Metrics
Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics
Alexander Gushchin
Khaled Abud
Georgii Bychkov
E. Shumitskaya
Anna Chistyakova
Sergey Lavrushkin
Bader Rasheed
Kirill Malyshev
D. Vatolin
Anastasia Antsiferova
AAML
59
2
0
02 Aug 2024
ADBM: Adversarial diffusion bridge model for reliable adversarial purification
ADBM: Adversarial diffusion bridge model for reliable adversarial purification
Xiao-Li Li
Wenxuan Sun
Huanran Chen
Qiongxiu Li
Yining Liu
Yingzhe He
Jie Shi
Xiaolin Hu
AAML
68
8
0
01 Aug 2024
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness
Kejia Zhang
Juanjuan Weng
Yuanzheng Cai
Zhiming Luo
Shaozi Li
AAML
72
0
0
04 Jul 2024
Harmonizing Feature Maps: A Graph Convolutional Approach for Enhancing
  Adversarial Robustness
Harmonizing Feature Maps: A Graph Convolutional Approach for Enhancing Adversarial Robustness
Kejia Zhang
Juanjuan Weng
Junwei Wu
Guoqing Yang
Shaozi Li
Zhiming Luo
AAML
51
1
0
17 Jun 2024
Improving Adversarial Robustness via Decoupled Visual Representation
  Masking
Improving Adversarial Robustness via Decoupled Visual Representation Masking
Decheng Liu
Tao Chen
Chunlei Peng
Nannan Wang
Ruimin Hu
Xinbo Gao
AAML
56
1
0
16 Jun 2024
AudioMarkBench: Benchmarking Robustness of Audio Watermarking
AudioMarkBench: Benchmarking Robustness of Audio Watermarking
Hongbin Liu
Moyang Guo
Zhengyuan Jiang
Lun Wang
Neil Zhenqiang Gong
44
6
0
11 Jun 2024
OSLO: One-Shot Label-Only Membership Inference Attacks
OSLO: One-Shot Label-Only Membership Inference Attacks
Yuefeng Peng
Jaechul Roh
Subhransu Maji
Amir Houmansadr
44
0
0
27 May 2024
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective
Nils Philipp Walter
Linara Adilova
Jilles Vreeken
Michael Kamp
AAML
51
2
0
27 May 2024
Towards a Novel Perspective on Adversarial Examples Driven by Frequency
Towards a Novel Perspective on Adversarial Examples Driven by Frequency
Zhun Zhang
Yi Zeng
Qihe Liu
Shijie Zhou
AAML
39
0
0
16 Apr 2024
Struggle with Adversarial Defense? Try Diffusion
Struggle with Adversarial Defense? Try Diffusion
Yujie Li
Yanbin Wang
Haitao Xu
Bin Liu
Jianguo Sun
Zhenhao Guo
Wenrui Ma
DiffM
35
1
0
12 Apr 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
Damith C. Ranasinghe
AAML
46
5
0
08 Apr 2024
Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks
Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks
Maksym Andriushchenko
Francesco Croce
Nicolas Flammarion
AAML
102
165
0
02 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
43
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
37
0
0
30 Mar 2024
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset
  Distillation
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation
Yifan Wu
Jiawei Du
Ping Liu
Yuewei Lin
Wenqing Cheng
Wei Xu
DD
AAML
45
5
0
20 Mar 2024
Towards Adversarially Robust Dataset Distillation by Curvature Regularization
Towards Adversarially Robust Dataset Distillation by Curvature Regularization
Eric Xue
Yijiang Li
Haoyang Liu
Yifan Shen
Haohan Wang
Haohan Wang
DD
66
8
0
15 Mar 2024
Counter-Samples: A Stateless Strategy to Neutralize Black Box
  Adversarial Attacks
Counter-Samples: A Stateless Strategy to Neutralize Black Box Adversarial Attacks
Roey Bokobza
Yisroel Mirsky
AAML
38
0
0
14 Mar 2024
A Random Ensemble of Encrypted Vision Transformers for Adversarially
  Robust Defense
A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense
Ryota Iijima
Sayaka Shiota
Hitoshi Kiya
38
6
0
11 Feb 2024
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off
  in Adversarial Training
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training
Shruthi Gowda
Bahram Zonooz
Elahe Arani
AAML
36
2
0
26 Jan 2024
Sparse and Transferable Universal Singular Vectors Attack
Sparse and Transferable Universal Singular Vectors Attack
Kseniia Kuvshinova
Olga Tsymboi
Ivan Oseledets
AAML
38
0
0
25 Jan 2024
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