MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness

8 December 2023

Papers citing "MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness"

50 / 94 papers shown

Title
Robust Principles: Architectural Design Principles for Adversarially Robust CNNs Sheng-Hsuan Peng Weilin Xu Cory Cornelius Matthew Hull Kevin Wenliang Li Rahul Duggal Mansi Phute Jason Martin Duen Horng Chau AAML 51 48 0 30 Aug 2023
Hard Patches Mining for Masked Image Modeling Haochen Wang Kaiyou Song Junsong Fan Yuxi Wang Jin Xie Zhaoxiang Zhang 53 61 0 12 Apr 2023
Generalist: Decoupling Natural and Robust Generalization Hongjun Wang Yisen Wang OOD AAML 68 14 0 24 Mar 2023
Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models Naman D. Singh Francesco Croce Matthias Hein OOD 67 65 0 03 Mar 2023
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking Chang-Shu Liu Yinpeng Dong Wenzhao Xiang Xiaohu Yang Hang Su Junyi Zhu YueFeng Chen Yuan He H. Xue Shibao Zheng OOD VLM AAML 72 78 0 28 Feb 2023
Better Diffusion Models Further Improve Adversarial Training Zekai Wang Tianyu Pang Chao Du Min Lin Weiwei Liu Shuicheng Yan DiffM 46 223 0 09 Feb 2023
IB-RAR: Information Bottleneck as Regularizer for Adversarial Robustness Xiaoyun Xu Guilherme Perin S. Picek AAML 60 1 0 09 Feb 2023
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense Zunzhi You Daochang Liu Bohyung Han Chang Xu AAML VLM 80 4 0 02 Feb 2023
Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling Keyu Tian Yi Jiang Qishuai Diao Chen Lin Liwei Wang Zehuan Yuan 52 105 0 09 Jan 2023
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders Sanghyun Woo Shoubhik Debnath Ronghang Hu Xinlei Chen Zhuang Liu In So Kweon Saining Xie SyDa 137 794 0 02 Jan 2023
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture Yi Mo Dongxian Wu Yifei Wang Yiwen Guo Yisen Wang ViT 55 58 0 14 Oct 2022
Denoising Masked AutoEncoders Help Robust Classification Quanlin Wu Hang Ye Yuntian Gu Huishuai Zhang Liwei Wang Di He 44 22 0 10 Oct 2022
A Light Recipe to Train Robust Vision Transformers Edoardo Debenedetti Vikash Sehwag Prateek Mittal ViT 69 71 0 15 Sep 2022
Towards Efficient Adversarial Training on Vision Transformers Boxi Wu Jindong Gu Zhifeng Li Deng Cai Xiaofei He Wei Liu ViT AAML 63 39 0 21 Jul 2022
Green Hierarchical Vision Transformer for Masked Image Modeling Lang Huang Shan You Mingkai Zheng Fei Wang Chao Qian T. Yamasaki 97 72 0 26 May 2022
MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers Jihao Liu Xin Huang Jinliang Zheng Yu Liu Hongsheng Li 44 55 0 26 May 2022
Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality Xiang Li Wenhai Wang Lingfeng Yang Jian Yang 150 74 0 20 May 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition Tianyu Pang Min Lin Xiao Yang Junyi Zhu Shuicheng Yan 100 122 0 21 Feb 2022
Masked Feature Prediction for Self-Supervised Visual Pre-Training Chen Wei Haoqi Fan Saining Xie Chaoxia Wu Alan Yuille Christoph Feichtenhofer ViT 141 668 0 16 Dec 2021
Are Vision Transformers Robust to Patch Perturbations? Jindong Gu Volker Tresp Yao Qin AAML ViT 85 64 0 20 Nov 2021
SimMIM: A Simple Framework for Masked Image Modeling Zhenda Xie Zheng Zhang Yue Cao Yutong Lin Jianmin Bao Zhuliang Yao Qi Dai Han Hu 174 1,349 0 18 Nov 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 441 7,731 0 11 Nov 2021
Are Transformers More Robust Than CNNs? Yutong Bai Jieru Mei Alan Yuille Cihang Xie ViT AAML 234 264 0 10 Nov 2021
Data Augmentation Can Improve Robustness Sylvestre-Alvise Rebuffi Sven Gowal D. A. Calian Florian Stimberg Olivia Wiles Timothy A. Mann AAML 55 285 0 09 Nov 2021
When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? Lijie Fan Sijia Liu Pin-Yu Chen Gaoyuan Zhang Chuang Gan AAML VLM 56 123 0 01 Nov 2021
Improving Robustness using Generated Data Sven Gowal Sylvestre-Alvise Rebuffi Olivia Wiles Florian Stimberg D. A. Calian Timothy A. Mann 68 300 0 18 Oct 2021
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs Philipp Benz Soomin Ham Chaoning Zhang Adil Karjauv In So Kweon AAML ViT 79 79 0 06 Oct 2021
Early Convolutions Help Transformers See Better Tete Xiao Mannat Singh Eric Mintun Trevor Darrell Piotr Dollár Ross B. Girshick 47 766 0 28 Jun 2021
XCiT: Cross-Covariance Image Transformers Alaaeldin El-Nouby Hugo Touvron Mathilde Caron Piotr Bojanowski Matthijs Douze ... Ivan Laptev Natalia Neverova Gabriel Synnaeve Jakob Verbeek Hervé Jégou ViT 136 512 0 17 Jun 2021
BEiT: BERT Pre-Training of Image Transformers Hangbo Bao Li Dong Songhao Piao Furu Wei ViT 251 2,819 0 15 Jun 2021
Reveal of Vision Transformers Robustness against Adversarial Attacks Ahmed Aldahdooh W. Hamidouche Olivier Déforges ViT 34 60 0 07 Jun 2021
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness Zifeng Wang T. Jian A. Masoomi Stratis Ioannidis Jennifer Dy AAML 43 25 0 04 Jun 2021
Going deeper with Image Transformers Hugo Touvron Matthieu Cord Alexandre Sablayrolles Gabriel Synnaeve Hervé Jégou ViT 142 1,014 0 31 Mar 2021
Understanding Robustness of Transformers for Image Classification Srinadh Bhojanapalli Ayan Chakrabarti Daniel Glasner Daliang Li Thomas Unterthiner Andreas Veit ViT 85 385 0 26 Mar 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 434 21,392 0 25 Mar 2021
ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases Stéphane dÁscoli Hugo Touvron Matthew L. Leavitt Ari S. Morcos Giulio Biroli Levent Sagun ViT 110 825 0 19 Mar 2021
Fixing Data Augmentation to Improve Adversarial Robustness Sylvestre-Alvise Rebuffi Sven Gowal D. A. Calian Florian Stimberg Olivia Wiles Timothy A. Mann AAML 79 272 0 02 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 866 29,341 0 26 Feb 2021
Deep Deterministic Information Bottleneck with Matrix-based Entropy Functional Xi Yu Shujian Yu José C. Príncipe AAML 50 27 0 31 Jan 2021
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 372 6,757 0 23 Dec 2020
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images R. Child BDL VLM 177 350 0 20 Nov 2020
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 253 4,052 0 20 Nov 2020
Robust Pre-Training by Adversarial Contrastive Learning Ziyu Jiang Tianlong Chen Ting-Li Chen Zhangyang Wang 90 231 0 26 Oct 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 601 40,961 0 22 Oct 2020
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 314 702 0 19 Oct 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 561 18,008 0 19 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 739 41,894 0 28 May 2020
The Information Bottleneck Problem and Its Applications in Machine Learning Ziv Goldfeld Yury Polyanskiy 54 133 0 30 Apr 2020
Single-step Adversarial training with Dropout Scheduling S. VivekB. R. Venkatesh Babu OOD AAML 51 72 0 18 Apr 2020
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning Tianlong Chen Sijia Liu Shiyu Chang Yu Cheng Lisa Amini Zhangyang Wang AAML 58 247 0 28 Mar 2020