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2012.02525
Cited By
Practical No-box Adversarial Attacks against DNNs
Neural Information Processing Systems (NeurIPS), 2020
4 December 2020
Qizhang Li
Yiwen Guo
Hao Chen
AAML
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Papers citing
"Practical No-box Adversarial Attacks against DNNs"
29 / 29 papers shown
Are Neuro-Inspired Multi-Modal Vision-Language Models Resilient to Membership Inference Privacy Leakage?
David Amebley
Sayanton Dibbo
AAML
214
0
0
24 Nov 2025
Text Adversarial Attacks with Dynamic Outputs
Wenqiang Wang
Siyuan Liang
Xiao Yan
Xiaochun Cao
AAML
157
0
0
26 Sep 2025
Multi-task Adversarial Attacks against Black-box Model with Few-shot Queries
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
Wenqiang Wang
Yan Xiao
Hao Lin
Yangshijie Zhang
Xiaochun Cao
AAML
197
1
0
10 Aug 2025
One Surrogate to Fool Them All: Universal, Transferable, and Targeted Adversarial Attacks with CLIP
Binyan Xu
Xilin Dai
Di Tang
Kehuan Zhang
AAML
332
6
0
26 May 2025
Texture- and Shape-based Adversarial Attacks for Overhead Image Vehicle Detection
International Conference on Information Photonics (ICIP), 2024
Mikael Yeghiazaryan
Sai Abhishek Siddhartha Namburu
Emily Kim
Stanislav Panev
Celso de Melo
Brent Lance
Fernando de la Torre
AAML
449
0
0
20 Dec 2024
DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain
Neural Information Processing Systems (NeurIPS), 2024
Fengpeng Li
Kemou Li
Haiwei Wu
Jinyu Tian
Jiantao Zhou
AAML
312
9
0
16 Oct 2024
Adversarial Attacks on Hidden Tasks in Multi-Task Learning
Yu Zhe
Rei Nagaike
Daiki Nishiyama
Kazuto Fukuchi
Jun Sakuma
AAML
368
1
0
24 May 2024
Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly
Neural Information Processing Systems (NeurIPS), 2023
Qizhang Li
Yiwen Guo
Wangmeng Zuo
Hao Chen
ELM
AAML
326
9
0
02 Nov 2023
SoK: Pitfalls in Evaluating Black-Box Attacks
Fnu Suya
Anshuman Suri
Tingwei Zhang
Jingtao Hong
Yuan Tian
David Evans
AAML
415
8
0
26 Oct 2023
Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient
IEEE International Conference on Computer Vision (ICCV), 2023
Zhengzhi Lu
He Wang
Ziyi Chang
Guoan Yang
Hubert P. H. Shum
AAML
280
17
0
10 Aug 2023
Improving Transferability of Adversarial Examples via Bayesian Attacks
Qizhang Li
Yiwen Guo
Xiaochen Yang
W. Zuo
Hao Chen
AAML
BDL
347
2
0
21 Jul 2023
GLOW: Global Layout Aware Attacks on Object Detection
Computer Vision and Pattern Recognition (CVPR), 2023
Buyu Liu
BaoJun
Jianping Fan
Xi Peng
Kui Ren
Jun Yu
AAML
319
2
0
27 Feb 2023
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice
Giovanni Apruzzese
Hyrum S. Anderson
Savino Dambra
D. Freeman
Fabio Pierazzi
Kevin A. Roundy
AAML
386
114
0
29 Dec 2022
Multi-SpacePhish: Extending the Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning
Asia-Pacific Computer Systems Architecture Conference (ACSA), 2022
Ying Yuan
Giovanni Apruzzese
Mauro Conti
AAML
410
28
0
24 Oct 2022
Towards Lightweight Black-Box Attacks against Deep Neural Networks
Chenghao Sun
Yonggang Zhang
Chaoqun Wan
Qizhou Wang
Ya Li
Tongliang Liu
Bo Han
Xinmei Tian
AAML
MLAU
359
6
0
29 Sep 2022
Sound and Complete Verification of Polynomial Networks
Neural Information Processing Systems (NeurIPS), 2022
Elias Abad Rocamora
Mehmet Fatih Şahin
Fanghui Liu
Grigorios G. Chrysos
Volkan Cevher
257
6
0
15 Sep 2022
Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations
British Machine Vision Conference (BMVC), 2022
H. Malik
Shahina Kunhimon
Muzammal Naseer
Salman Khan
Fahad Shahbaz Khan
AAML
238
8
0
18 Jul 2022
Squeeze Training for Adversarial Robustness
International Conference on Learning Representations (ICLR), 2022
Qizhang Li
Yiwen Guo
W. Zuo
Hao Chen
OOD
341
18
0
23 May 2022
Zero-Query Transfer Attacks on Context-Aware Object Detectors
Computer Vision and Pattern Recognition (CVPR), 2022
Zikui Cai
S. Rane
Alejandro E. Brito
Chengyu Song
S. Krishnamurthy
Amit K. Roy-Chowdhury
M. Salman Asif
AAML
232
28
0
29 Mar 2022
Reverse Engineering of Imperceptible Adversarial Image Perturbations
International Conference on Learning Representations (ICLR), 2022
Yifan Gong
Yuguang Yao
Yize Li
Yimeng Zhang
Xiaoming Liu
Xinyu Lin
Sijia Liu
AAML
376
25
0
26 Mar 2022
Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation
Qilong Zhang
Chaoning Zhang
Chaoning Zhang
Chaoqun Li
Xuanhan Wang
Jingkuan Song
Lianli Gao
AAML
417
17
0
09 Mar 2022
Adversarial Attack across Datasets
Yunxiao Qin
Yuanhao Xiong
Jinfeng Yi
Lihong Cao
Cho-Jui Hsieh
AAML
330
5
0
13 Oct 2021
Training Meta-Surrogate Model for Transferable Adversarial Attack
Yunxiao Qin
Yuanhao Xiong
Jinfeng Yi
Cho-Jui Hsieh
AAML
328
30
0
05 Sep 2021
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Lin Wang
Navid Kardan
M. Shah
AAML
521
311
0
01 Aug 2021
Adversarial for Good? How the Adversarial ML Community's Values Impede Socially Beneficial Uses of Attacks
Kendra Albert
Maggie K. Delano
B. Kulynych
Ramnath Kumar
AAML
476
5
0
11 Jul 2021
Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem
Web Search and Data Mining (WSDM), 2021
Jiaqi Ma
Junwei Deng
Qiaozhu Mei
AAML
GNN
170
41
0
21 Jun 2021
Certification of embedded systems based on Machine Learning: A survey
Guillaume Vidot
Christophe Gabreau
I. Ober
Iulian Ober
209
13
0
14 Jun 2021
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
160
6
0
17 Mar 2021
Backpropagating Linearly Improves Transferability of Adversarial Examples
Yiwen Guo
Qizhang Li
Hao Chen
FedML
AAML
389
132
0
07 Dec 2020
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