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1710.08864
Cited By
One pixel attack for fooling deep neural networks
24 October 2017
Jiawei Su
Danilo Vasconcellos Vargas
Kouichi Sakurai
AAML
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Papers citing
"One pixel attack for fooling deep neural networks"
50 / 319 papers shown
Title
Crafting Physical Adversarial Examples by Combining Differentiable and Physically Based Renders
Yuqiu Liu
Huanqian Yan
Xiaopei Zhu
Xiaolin Hu
L. Tang
Hang Su
Chen Lv
34
0
0
07 May 2025
SFIBA: Spatial-based Full-target Invisible Backdoor Attacks
Yangxu Yin
H. Chen
Yudong Gao
Peng Sun
Zhen Li
Wen Liu
AAML
45
0
0
29 Apr 2025
Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing
Vlad Vasilescu
Ana Neacsu
Daniela Faur
ViT
29
0
0
24 Apr 2025
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
178
0
0
16 Apr 2025
TarPro: Targeted Protection against Malicious Image Editing
Kaixin Shen
Ruijie Quan
Jiaxu Miao
Jun Xiao
Yi Yang
62
1
0
18 Mar 2025
Imitation Game for Adversarial Disillusion with Multimodal Generative Chain-of-Thought Role-Play
Ching-Chun Chang
Fan-Yun Chen
Shih-Hong Gu
Kai Gao
Hanrui Wang
Isao Echizen
AAML
255
0
0
31 Jan 2025
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
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization
Song Wang
Xiaodong Yang
Rashidul Islam
Huiyuan Chen
Minghua Xu
Jundong Li
Yiwei Cai
OODD
72
2
0
07 Jan 2025
Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics
Taowen Wang
Dongfang Liu
James Liang
Wenhao Yang
Qifan Wang
Cheng Han
Jiebo Luo
Ruixiang Tang
Ruixiang Tang
AAML
87
3
0
18 Nov 2024
IAE: Irony-based Adversarial Examples for Sentiment Analysis Systems
Xiaoyin Yi
Jiacheng Huang
AAML
70
0
0
12 Nov 2024
AdvLogo: Adversarial Patch Attack against Object Detectors based on Diffusion Models
Boming Miao
Chunxiao Li
Yao Zhu
Weixiang Sun
Zizhe Wang
Xiaoyi Wang
Chuanlong Xie
DiffM
AAML
34
1
0
11 Sep 2024
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
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
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
Trustworthy Actionable Perturbations
Jesse Friedbaum
Sudarshan Adiga
Ravi Tandon
AAML
40
2
0
18 May 2024
Evaluating Saliency Explanations in NLP by Crowdsourcing
Xiaotian Lu
Jiyi Li
Zhen Wan
Xiaofeng Lin
Koh Takeuchi
Hisashi Kashima
XAI
FAtt
LRM
37
1
0
17 May 2024
Infrared Adversarial Car Stickers
Xiaopei Zhu
Yuqiu Liu
Zhan Hu
Jianmin Li
Xiaolin Hu
AAML
52
0
0
16 May 2024
Ti-Patch: Tiled Physical Adversarial Patch for no-reference video quality metrics
Victoria Leonenkova
E. Shumitskaya
Anastasia Antsiferova
D. Vatolin
48
3
0
15 Apr 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective
Victor-Alexandru Darvariu
Stephen Hailes
Mirco Musolesi
AI4CE
53
6
0
09 Apr 2024
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
Theoretical Understanding of Learning from Adversarial Perturbations
Soichiro Kumano
Hiroshi Kera
Toshihiko Yamasaki
AAML
51
1
0
16 Feb 2024
A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense
Ryota Iijima
Sayaka Shiota
Hitoshi Kiya
38
6
0
11 Feb 2024
FIMBA: Evaluating the Robustness of AI in Genomics via Feature Importance Adversarial Attacks
Heorhii Skovorodnikov
Hoda AlKhzaimi
AAML
30
2
0
19 Jan 2024
Continual Adversarial Defense
Qian Wang
Yaoyao Liu
Hefei Ling
Yingwei Li
Qihao Liu
Ping Li
AAML
69
3
0
15 Dec 2023
Defense Against Adversarial Attacks using Convolutional Auto-Encoders
Shreyasi Mandal
AAML
31
1
0
06 Dec 2023
ScAR: Scaling Adversarial Robustness for LiDAR Object Detection
Xiaohu Lu
H. Radha
AAML
3DPC
39
0
0
05 Dec 2023
A Survey of Adversarial CAPTCHAs on its History, Classification and Generation
Zisheng Xu
Qiao Yan
Fei Yu
Victor C.M. Leung
AAML
29
1
0
22 Nov 2023
Improving Robustness for Vision Transformer with a Simple Dynamic Scanning Augmentation
Shashank Kotyan
Danilo Vasconcellos Vargas
ViT
40
2
0
01 Nov 2023
Adversarial Image Generation by Spatial Transformation in Perceptual Colorspaces
A. Aydin
A. Temi̇zel
43
4
0
21 Oct 2023
Adversarial Training for Physics-Informed Neural Networks
Yao Li
Shengzhu Shi
Zhichang Guo
Boying Wu
AAML
PINN
30
0
0
18 Oct 2023
Tailoring Adversarial Attacks on Deep Neural Networks for Targeted Class Manipulation Using DeepFool Algorithm
S. M. Fazle
J. Mondal
Meem Arafat Manab
Xi Xiao
Sarfaraz Newaz
AAML
31
0
0
18 Oct 2023
Assessing Robustness via Score-Based Adversarial Image Generation
Marcel Kollovieh
Lukas Gosch
Yan Scholten
Marten Lienen
Leo Schwinn
Stephan Günnemann
DiffM
45
5
0
06 Oct 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks
Yanjie Li
Bin Xie
Songtao Guo
Yuanyuan Yang
Bin Xiao
AAML
42
16
0
01 Oct 2023
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning
Alexander Bastounis
Alexander N. Gorban
Anders C. Hansen
D. Higham
Danil Prokhorov
Oliver J. Sutton
I. Tyukin
Qinghua Zhou
OOD
18
4
0
13 Sep 2023
Training Neural Networks Using Reproducing Kernel Space Interpolation and Model Reduction
Eric A. Werneburg
26
0
0
31 Aug 2023
Can We Rely on AI?
D. Higham
AAML
45
0
0
29 Aug 2023
Single-User Injection for Invisible Shilling Attack against Recommender Systems
Chengzhi Huang
Hui Li
32
13
0
21 Aug 2023
Backpropagation Path Search On Adversarial Transferability
Zhuoer Xu
Zhangxuan Gu
Jianping Zhang
Shiwen Cui
Changhua Meng
Weiqiang Wang
AAML
40
5
0
15 Aug 2023
Towards Generic and Controllable Attacks Against Object Detection
Guopeng Li
Yue Xu
Jian Ding
Guisong Xia
AAML
42
6
0
23 Jul 2023
A Theoretical Perspective on Subnetwork Contributions to Adversarial Robustness
Jovon Craig
Joshua Andle
Theodore S. Nowak
Salimeh Yasaei Sekeh
AAML
53
0
0
07 Jul 2023
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey
Hanieh Naderi
Ivan V. Bajić
3DPC
41
7
0
01 Jul 2023
The race to robustness: exploiting fragile models for urban camouflage and the imperative for machine learning security
Harriet Farlow
Matthew A. Garratt
G. Mount
T. Lynar
AAML
27
0
0
26 Jun 2023
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking
Shaohui Mei
Jiawei Lian
Xiaofei Wang
Yuru Su
Mingyang Ma
Lap-Pui Chau
AAML
30
11
0
21 Jun 2023
Towards a robust and reliable deep learning approach for detection of compact binary mergers in gravitational wave data
S. Jadhav
Mihir Shrivastava
S. Mitra
OOD
26
9
0
20 Jun 2023
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses
M. Ferrag
Othmane Friha
B. Kantarci
Norbert Tihanyi
Lucas C. Cordeiro
Merouane Debbah
Djallel Hamouda
Muna Al-Hawawreh
K. Choo
40
44
0
17 Jun 2023
The Best Defense is a Good Offense: Adversarial Augmentation against Adversarial Attacks
I. Frosio
Jan Kautz
AAML
29
15
0
23 May 2023
Impact of Light and Shadow on Robustness of Deep Neural Networks
Chen-Hao Hu
Weiwen Shi
Chaoxian Li
Jialiang Sun
Donghua Wang
Jun Wu
Guijian Tang
AAML
25
1
0
23 May 2023
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection
Giovanni Apruzzese
Pavel Laskov
J. Schneider
53
25
0
30 Apr 2023
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
21
5
0
25 Apr 2023
Physical Knowledge Enhanced Deep Neural Network for Sea Surface Temperature Prediction
Yuxin Meng
Feng Gao
Eric Rigall
Ran Dong
Junyu Dong
Q. Du
29
20
0
19 Apr 2023
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