AdvSPADE: Realistic Unrestricted Attacks for Semantic Segmentation

6 October 2019

Papers citing "AdvSPADE: Realistic Unrestricted Attacks for Semantic Segmentation"

7 / 7 papers shown

Title
On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving Giulio Rossolini F. Nesti G. D’Amico Saasha Nair Alessandro Biondi Giorgio Buttazzo AAML 33 37 0 05 Jan 2022
Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks F. Nesti Giulio Rossolini Saasha Nair Alessandro Biondi Giorgio Buttazzo AAML 42 74 0 13 Aug 2021
Constructing Unrestricted Adversarial Examples with Generative Models Yang Song Rui Shu Nate Kushman Stefano Ermon GAN AAML 185 302 0 21 May 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 303 3,115 0 04 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 250 3,193 0 30 Oct 2016
Semantic Understanding of Scenes through the ADE20K Dataset Bolei Zhou Hang Zhao Xavier Puig Tete Xiao Sanja Fidler Adela Barriuso Antonio Torralba SSeg 253 1,833 0 18 Aug 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 454 15,657 0 02 Nov 2015