Inconspicuous Adversarial Patches for Fooling Image Recognition Systems
on Mobile Devices

Inconspicuous Adversarial Patches for Fooling Image Recognition Systems on Mobile Devices

29 June 2021

Jun Zhao

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

7 / 7 papers shown

Title
AdvART: Adversarial Art for Camouflaged Object Detection Attacks Amira Guesmi Ioan Marius Bilasco Muhammad Shafique Ihsen Alouani GAN AAML 34 20 0 03 Mar 2023
ExploreADV: Towards exploratory attack for Neural Networks Tianzuo Luo Yuyi Zhong S. Khoo AAML 24 1 0 01 Jan 2023
Feasibility of Inconspicuous GAN-generated Adversarial Patches against Object Detection Svetlana Pavlitskaya Bianca-Marina Codau J. Marius Zöllner AAML 16 11 0 15 Jul 2022
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches Maura Pintor Daniele Angioni Angelo Sotgiu Luca Demetrio Ambra Demontis Battista Biggio Fabio Roli AAML 33 49 0 07 Mar 2022
Transferable Adversarial Attacks for Image and Video Object Detection Xingxing Wei Siyuan Liang Ning Chen Xiaochun Cao AAML 77 221 0 30 Nov 2018
Constructing Unrestricted Adversarial Examples with Generative Models Yang Song Rui Shu Nate Kushman Stefano Ermon GAN AAML 185 302 0 21 May 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,842 0 08 Jul 2016