Vulnerability Analysis of Transformer-based Optical Character Recognition to Adversarial Attacks

28 November 2023

Papers citing "Vulnerability Analysis of Transformer-based Optical Character Recognition to Adversarial Attacks"

18 / 18 papers shown

Title
Adversarial Ink: Componentwise Backward Error Attacks on Deep Learning Lucas Beerens D. Higham AAML 69 8 0 05 Jun 2023
Transformers in Speech Processing: A Survey S. Latif Aun Zaidi Heriberto Cuayáhuitl Fahad Shamshad Moazzam Shoukat Muhammad Usama Junaid Qadir 136 48 0 21 Mar 2023
TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models Minghao Li Tengchao Lv Jingye Chen Lei Cui Yijuan Lu D. Florêncio Cha Zhang Zhoujun Li Furu Wei ViT 240 367 0 21 Sep 2021
Towards Transferable Adversarial Attacks on Vision Transformers Zhipeng Wei Jingjing Chen Micah Goldblum Zuxuan Wu Tom Goldstein Yu-Gang Jiang ViT AAML 96 120 0 09 Sep 2021
Reveal of Vision Transformers Robustness against Adversarial Attacks Ahmed Aldahdooh W. Hamidouche Olivier Déforges ViT 43 60 0 07 Jun 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir Fahad Shahbaz Khan M. Shah ViT 305 2,516 0 04 Jan 2021
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 389 6,793 0 23 Dec 2020
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers Wenhui Wang Furu Wei Li Dong Hangbo Bao Nan Yang Ming Zhou VLM 156 1,267 0 25 Feb 2020
Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR) Jamshed Memon Maira Sami Rizwan Ahmed Khan 74 332 0 01 Jan 2020
Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hiding Lea Schonherr Katharina Kohls Steffen Zeiler Thorsten Holz D. Kolossa AAML 77 289 0 16 Aug 2018
On the Suitability of $L_p$ -norms for Creating and Preventing Adversarial Examples Mahmood Sharif Lujo Bauer Michael K. Reiter AAML 130 138 0 27 Feb 2018
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models Pin-Yu Chen Huan Zhang Yash Sharma Jinfeng Yi Cho-Jui Hsieh AAML 83 1,882 0 14 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 310 12,117 0 19 Jun 2017
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 266 8,555 0 16 Aug 2016
Practical Black-Box Attacks against Machine Learning Nicolas Papernot Patrick McDaniel Ian Goodfellow S. Jha Z. Berkay Celik A. Swami MLAU AAML 75 3,678 0 08 Feb 2016
DeepFool: a simple and accurate method to fool deep neural networks Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi P. Frossard AAML 151 4,897 0 14 Nov 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 280 19,066 0 20 Dec 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 277 14,927 1 21 Dec 2013