On the interplay of adversarial robustness and architecture components:
patches, convolution and attention

On the interplay of adversarial robustness and architecture components: patches, convolution and attention

14 September 2022

Francesco Croce

Matthias Hein

Papers citing "On the interplay of adversarial robustness and architecture components: patches, convolution and attention"

9 / 9 papers shown

Title
Benchmarking the Spatial Robustness of DNNs via Natural and Adversarial Localized Corruptions Giulia Marchiori Pietrosanti Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 76 0 0 02 Apr 2025
Transformers in Unsupervised Structure-from-Motion Hemang Chawla Arnav Varma Elahe Arani Bahram Zonooz ViT 13 1 0 16 Dec 2023
On the unreasonable vulnerability of transformers for image restoration -- and an easy fix Shashank Agnihotri Kanchana Vaishnavi Gandikota Julia Grabinski Paramanand Chandramouli M. Keuper 30 9 0 25 Jul 2023
Benchmarking Robustness to Adversarial Image Obfuscations Florian Stimberg Ayan Chakrabarti Chun-Ta Lu Hussein Hazimeh Otilia Stretcu ... Merve Kaya Cyrus Rashtchian Ariel Fuxman Mehmet Tek Sven Gowal AAML 21 10 0 30 Jan 2023
What You See is What You Get: Principled Deep Learning via Distributional Generalization B. Kulynych Yao-Yuan Yang Yaodong Yu Jarosław Błasiok Preetum Nakkiran OOD 17 9 0 07 Apr 2022
Patches Are All You Need? Asher Trockman J. Zico Kolter ViT 214 400 0 24 Jan 2022
Are Transformers More Robust Than CNNs? Yutong Bai Jieru Mei Alan Yuille Cihang Xie ViT AAML 178 256 0 10 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 292 5,761 0 29 Apr 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 217 674 0 19 Oct 2020