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Inconspicuous Adversarial Patches for Fooling Image Recognition Systems
  on Mobile Devices
v1v2 (latest)

Inconspicuous Adversarial Patches for Fooling Image Recognition Systems on Mobile Devices

IEEE Internet of Things Journal (IEEE IoT Journal), 2021
29 June 2021
Tao Bai
Jinqi Luo
Jun Zhao
    AAML
ArXiv (abs)PDFHTML

Papers citing "Inconspicuous Adversarial Patches for Fooling Image Recognition Systems on Mobile Devices"

14 / 14 papers shown
Adversarial Examples in Environment Perception for Automated Driving (Review)
Adversarial Examples in Environment Perception for Automated Driving (Review)
Jun Yan
Huilin Yin
AAML
281
1
0
11 Apr 2025
Texture- and Shape-based Adversarial Attacks for Overhead Image Vehicle Detection
Texture- and Shape-based Adversarial Attacks for Overhead Image Vehicle DetectionInternational 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
407
0
0
20 Dec 2024
Sparse vs Contiguous Adversarial Pixel Perturbations in Multimodal
  Models: An Empirical Analysis
Sparse vs Contiguous Adversarial Pixel Perturbations in Multimodal Models: An Empirical Analysis
Cristian-Alexandru Botocan
Raphael Meier
Ljiljana Dolamic
AAML
183
0
0
25 Jul 2024
Adversarial Examples in the Physical World: A Survey
Adversarial Examples in the Physical World: A Survey
Jinyang Guo
Xianglong Liu
Jin Hu
Donghua Wang
Siyang Wu
Tingsong Jiang
Wenbiao Yao
Aishan Liu
Aishan Liu
Jiantao Zhou
AAML
332
9
0
01 Nov 2023
DAP: A Dynamic Adversarial Patch for Evading Person Detectors
DAP: A Dynamic Adversarial Patch for Evading Person DetectorsComputer Vision and Pattern Recognition (CVPR), 2023
Amira Guesmi
Ruitian Ding
Muhammad Abdullah Hanif
Ihsen Alouani
Mohamed Bennai
AAML
327
48
0
19 May 2023
Mobile Edge Adversarial Detection for Digital Twinning to the Metaverse
  with Deep Reinforcement Learning
Mobile Edge Adversarial Detection for Digital Twinning to the Metaverse with Deep Reinforcement Learning
Terence Jie Chua
Wen-li Yu
Jun Zhao
189
4
0
18 Mar 2023
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A
  Contemporary Survey
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey
Yulong Wang
Tong Sun
Shenghong Li
Xinnan Yuan
W. Ni
Ekram Hossain
H. Vincent Poor
AAML
276
29
0
11 Mar 2023
AdvART: Adversarial Art for Camouflaged Object Detection Attacks
AdvART: Adversarial Art for Camouflaged Object Detection AttacksInternational Conference on Information Photonics (ICIP), 2023
Amira Guesmi
Ioan Marius Bilasco
Mohamed Bennai
Ihsen Alouani
GANAAML
246
26
0
03 Mar 2023
Mithridates: Auditing and Boosting Backdoor Resistance of Machine
  Learning Pipelines
Mithridates: Auditing and Boosting Backdoor Resistance of Machine Learning PipelinesConference on Computer and Communications Security (CCS), 2023
Eugene Bagdasaryan
Vitaly Shmatikov
AAML
330
3
0
09 Feb 2023
ExploreADV: Towards exploratory attack for Neural Networks
ExploreADV: Towards exploratory attack for Neural Networks
Tianzuo Luo
Yuyi Zhong
S. Khoo
AAML
206
1
0
01 Jan 2023
Visually Adversarial Attacks and Defenses in the Physical World: A
  Survey
Visually Adversarial Attacks and Defenses in the Physical World: A Survey
Xingxing Wei
Bangzheng Pu
Jiefan Lu
Baoyuan Wu
AAML
496
14
0
03 Nov 2022
A Survey on Physical Adversarial Attack in Computer Vision
A Survey on Physical Adversarial Attack in Computer Vision
Donghua Wang
Wen Yao
Tingsong Jiang
Guijian Tang
Xiaoqian Chen
AAML
478
49
0
28 Sep 2022
Feasibility of Inconspicuous GAN-generated Adversarial Patches against
  Object Detection
Feasibility of Inconspicuous GAN-generated Adversarial Patches against Object Detection
Svetlana Pavlitskaya
Bianca-Marina Codau
J. Marius Zöllner
AAML
170
13
0
15 Jul 2022
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial PatchesPattern Recognition (Pattern Recogn.), 2022
Maura Pintor
Daniele Angioni
Angelo Sotgiu
Christian Scano
Ambra Demontis
Battista Biggio
Fabio Roli
AAML
350
57
0
07 Mar 2022
1