POBA-GA: Perturbation Optimized Black-Box Adversarial Attacks via Genetic Algorithm

1 May 2019

Papers citing "POBA-GA: Perturbation Optimized Black-Box Adversarial Attacks via Genetic Algorithm"

7 / 7 papers shown

Title
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning Yongyi Su Yushu Li Nanqing Liu Kui Jia Xulei Yang Chuan-Sheng Foo Xun Xu TTA AAML 56 0 0 07 Oct 2024
Maestro: A Gamified Platform for Teaching AI Robustness Margarita Geleta Jiacen Xu Manikanta Loya Junlin Wang Sameer Singh Zhou Li Sergio Gago-Masague 12 0 0 14 Jun 2023
Salient Feature Extractor for Adversarial Defense on Deep Neural Networks Jinyin Chen Ruoxi Chen Haibin Zheng Zhaoyan Ming Wenrong Jiang Chen Cui AAML 9 10 0 14 May 2021
Black-box adversarial attacks using Evolution Strategies Hao Qiu Leonardo Lucio Custode Giovanni Iacca AAML 20 18 0 30 Apr 2021
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector Shang-Tse Chen Cory Cornelius Jason Martin Duen Horng Chau ObjD 145 424 0 16 Apr 2018
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 278 10,613 0 19 Feb 2017
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 257 5,833 0 08 Jul 2016