Pyramid Adversarial Training Improves ViT Performance

30 November 2021

Charles Herrmann

Papers citing "Pyramid Adversarial Training Improves ViT Performance"

43 / 43 papers shown

Title
Robo-SGG: Exploiting Layout-Oriented Normalization and Restitution for Robust Scene Graph Generation Changsheng Lv Mengshi Qi Z. Fu Huadong Ma 36 0 0 17 Apr 2025
EasyRobust: A Comprehensive and Easy-to-use Toolkit for Robust and Generalized Vision Xiaofeng Mao YueFeng Chen Rong Zhang Hui Xue Zhao Li Hang Su AAML VLM 43 0 0 21 Mar 2025
Infrared Image Super-Resolution: Systematic Review, and Future Trends Y. Huang Tomo Miyazaki Xiao-Fang Liu S. Omachi SupR 99 10 0 21 Feb 2025
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 28 1 0 19 Oct 2024
Manipulation Facing Threats: Evaluating Physical Vulnerabilities in End-to-End Vision Language Action Models Hao Cheng Erjia Xiao Chengyuan Yu Zhao Yao Jiahang Cao ... Jiaxu Wang Mengshu Sun Kaidi Xu Jindong Gu Renjing Xu AAML 31 1 0 20 Sep 2024
LPT++: Efficient Training on Mixture of Long-tailed Experts Bowen Dong Pan Zhou W. Zuo VLM 39 0 0 17 Sep 2024
Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries Amine Ouasfi A. Boukhayma 32 4 0 27 Aug 2024
Clarifying Myths About the Relationship Between Shape Bias, Accuracy, and Robustness Zahra Golpayegani Patrick St-Amant Nizar Bouguila 27 1 0 07 Jun 2024
EntProp: High Entropy Propagation for Improving Accuracy and Robustness Shohei Enomoto AAML 27 1 0 29 May 2024
HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation Ce Zhang Simon Stepputtis Joseph Campbell Katia P. Sycara Yaqi Xie 48 9 0 18 Mar 2024
Intriguing Differences Between Zero-Shot and Systematic Evaluations of Vision-Language Transformer Models Shaeke Salman M. Shams Xiuwen Liu Lingjiong Zhu VLM 19 2 0 13 Feb 2024
Intriguing Equivalence Structures of the Embedding Space of Vision Transformers Shaeke Salman M. Shams Xiuwen Liu 29 6 0 28 Jan 2024
Machine unlearning through fine-grained model parameters perturbation Zhiwei Zuo Zhuo Tang KenLi Li Anwitaman Datta AAML MU 26 0 0 09 Jan 2024
Fully Attentional Networks with Self-emerging Token Labeling Bingyin Zhao Zhiding Yu Shiyi Lan Yutao Cheng A. Anandkumar Yingjie Lao Jose M. Alvarez 978 6 0 08 Jan 2024
Towards Robust Semantic Segmentation against Patch-based Attack via Attention Refinement Zheng Yuan Jie Zhang Yude Wang Shiguang Shan Xilin Chen AAML 35 1 0 03 Jan 2024
Universal Pyramid Adversarial Training for Improved ViT Performance Ping Yeh-Chiang Yipin Zhou Omid Poursaeed S. Narayan Shukla Tom Goldstein Ser-Nam Lim AAML ViT 16 0 0 26 Dec 2023
Infrared Image Super-Resolution via GAN Y. Huang S. Omachi GAN 29 0 0 01 Dec 2023
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models Andy Zhou Jindong Wang Yu-xiong Wang Haohan Wang VLM 46 6 0 02 Nov 2023
Blacksmith: Fast Adversarial Training of Vision Transformers via a Mixture of Single-step and Multi-step Methods Mahdi Salmani Alireza Dehghanpour Farashah Mohammad Azizmalayeri Mahdi Amiri Navid Eslami M. T. Manzuri M. Rohban AAML 24 1 0 29 Oct 2023
Zero-Shot Learning by Harnessing Adversarial Samples Zhi Chen P. Zhang Jingjing Li Sen Wang Zi Huang VLM 24 18 0 01 Aug 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 37 50 0 18 May 2023
Steerable Equivariant Representation Learning Sangnie Bhardwaj Willie McClinton Tongzhou Wang Guillaume Lajoie Chen Sun Phillip Isola Dilip Krishnan OOD LLMSV 31 5 0 22 Feb 2023
Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts Francesco Croce Sylvestre-Alvise Rebuffi Evan Shelhamer Sven Gowal AAML 34 17 0 20 Feb 2023
A Comprehensive Study of the Robustness for LiDAR-based 3D Object Detectors against Adversarial Attacks Yifan Zhang Junhui Hou Yixuan Yuan AAML 3DPC 27 29 0 20 Dec 2022
MixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation Zhendong Liu Wenyu Jiang Min Guo Chongjun Wang AAML 21 1 0 08 Dec 2022
Context-Aware Robust Fine-Tuning Xiaofeng Mao YueFeng Chen Xiaojun Jia Rong Zhang Hui Xue Zhao Li VLM CLIP 35 24 0 29 Nov 2022
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations Shlok Kumar Mishra Joshua Robinson Huiwen Chang David Jacobs Aaron Sarna Aaron Maschinot Dilip Krishnan DiffM 43 30 0 30 Oct 2022
Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors Qixun Wang Yifei Wang Hong Zhu Yisen Wang OOD 22 19 0 13 Oct 2022
Revisiting adapters with adversarial training Sylvestre-Alvise Rebuffi Francesco Croce Sven Gowal AAML 36 16 0 10 Oct 2022
LPT: Long-tailed Prompt Tuning for Image Classification Bowen Dong Pan Zhou Shuicheng Yan W. Zuo VPVLM VLM 59 54 0 03 Oct 2022
Enhance the Visual Representation via Discrete Adversarial Training Xiaofeng Mao YueFeng Chen Ranjie Duan Yao Zhu Gege Qi Shaokai Ye Xiaodan Li Rong Zhang Hui Xue 44 31 0 16 Sep 2022
A Light Recipe to Train Robust Vision Transformers Edoardo Debenedetti Vikash Sehwag Prateek Mittal ViT 29 68 0 15 Sep 2022
Deeper Insights into the Robustness of ViTs towards Common Corruptions Rui Tian Zuxuan Wu Qi Dai Han Hu Yu-Gang Jiang ViT AAML 21 4 0 26 Apr 2022
Fast AdvProp Jieru Mei Yucheng Han Yutong Bai Yixiao Zhang Yingwei Li Xianhang Li Alan Yuille Cihang Xie AAML 29 8 0 21 Apr 2022
Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning Mathias Lechner Alexander Amini Daniela Rus T. Henzinger AAML 26 9 0 15 Apr 2022
Improving Vision Transformers by Revisiting High-frequency Components Jiawang Bai Liuliang Yuan Shutao Xia Shuicheng Yan Zhifeng Li Wei Liu ViT 16 90 0 03 Apr 2022
SCENIC: A JAX Library for Computer Vision Research and Beyond Mostafa Dehghani A. Gritsenko Anurag Arnab Matthias Minderer Yi Tay 46 68 0 18 Oct 2021
Intriguing Properties of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang ViT 256 621 0 21 May 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 271 2,603 0 04 May 2021
On the Adversarial Robustness of Vision Transformers Rulin Shao Zhouxing Shi Jinfeng Yi Pin-Yu Chen Cho-Jui Hsieh ViT 30 137 0 29 Mar 2021
Probing Predictions on OOD Images via Nearest Categories Yao-Yuan Yang Cyrus Rashtchian Ruslan Salakhutdinov Kamalika Chaudhuri AAML 25 0 0 17 Nov 2020
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 890 0 11 Nov 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,110 0 04 Nov 2016