Adversarial Examples Improve Image Recognition

21 November 2019

Cihang Xie

Mingxing Tan

Papers citing "Adversarial Examples Improve Image Recognition"

50 / 124 papers shown

Title
Towards Assessing Deep Learning Test Input Generators Seif Mzoughi Ahmed Hajyahmed Mohamed Elshafei Foutse Khomh anb Diego Elias Costa D. Costa AAML 37 0 0 03 Apr 2025
Predicting Movie Production Years through Facial Recognition of Actors with Machine Learning Asraa Muayed Abdalah Noor Redha Alkazaz 34 2 0 01 Apr 2025
Scale-Invariant Adversarial Attack against Arbitrary-scale Super-resolution Yihao Huang Xin Luo Yihao Huang Felix Juefei-Xu Xiaojun Jia Weikai Miao G. Pu Yang Liu 52 1 0 06 Mar 2025
ADBM: Adversarial diffusion bridge model for reliable adversarial purification Xiao-Li Li Wenxuan Sun Huanran Chen Qiongxiu Li Yining Liu Yingzhe He Jie Shi Xiaolin Hu AAML 58 7 0 01 Aug 2024
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness Kejia Zhang Juanjuan Weng Yuanzheng Cai Zhiming Luo Shaozi Li AAML 62 0 0 04 Jul 2024
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off Futa Waseda Ching-Chun Chang Isao Echizen AAML 29 0 0 22 Feb 2024
RAMP: Boosting Adversarial Robustness Against Multiple $l_p$ Perturbations Enyi Jiang Gagandeep Singh AAML 30 1 0 09 Feb 2024
Linearizing Models for Efficient yet Robust Private Inference Sreetama Sarkar Souvik Kundu P. Beerel AAML 13 0 0 08 Feb 2024
Towards Transferable Adversarial Attacks with Centralized Perturbation Shangbo Wu Yu-an Tan Yajie Wang Ruinan Ma Wencong Ma Yuan-zhang Li AAML 20 9 0 11 Dec 2023
Rethinking Adversarial Training with Neural Tangent Kernel Guanlin Li Han Qiu Shangwei Guo Jiwei Li Tianwei Zhang AAML 22 0 0 04 Dec 2023
CoRec: An Easy Approach for Coordination Recognition Gabor Angeli Haojie Jia M. Premkumar Qi Li 13 1 0 30 Nov 2023
Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics Haoqin Tu Bingchen Zhao Chen Wei Cihang Xie MLLM 39 14 0 13 Sep 2023
COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts Xiaofeng Mao YueFeng Chen Yao Zhu Da Chen Hang Su Rong Zhang H. Xue ObjD OOD 38 18 0 24 Jul 2023
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration Hiroki Naganuma Ryuichiro Hataya Kotaro Yoshida Ioannis Mitliagkas OODD 92 1 0 17 Jul 2023
NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations Y. Fu Ye Yuan Souvik Kundu Shang Wu Shunyao Zhang Yingyan Lin AAML 60 6 0 10 Jun 2023
Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex Drew Linsley I. F. Rodriguez Thomas Fel Michael Arcaro Saloni Sharma Margaret Livingstone Thomas Serre 35 18 0 06 Jun 2023
ALT: An Automatic System for Long Tail Scenario Modeling Ya-Lin Zhang Jun Zhou Yankun Ren Yue Zhang Xinxing Yang Meng Li Qitao Shi Longfei Li 25 0 0 19 May 2023
Noise robust neural network architecture Yunuo Xiong Hongwei Xiong 14 1 0 16 May 2023
Improve Video Representation with Temporal Adversarial Augmentation Jinhao Duan Quanfu Fan Hao-Ran Cheng Xiaoshuang Shi Kaidi Xu AAML AI4TS ViT 28 2 0 28 Apr 2023
Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning Y. Fu Ye Yuan Shang Wu Jiayi Yuan Yingyan Lin OOD 56 3 0 24 Apr 2023
AGAD: Adversarial Generative Anomaly Detection Jian Shi Ni Zhang 21 0 0 09 Apr 2023
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling Haotao Wang Ziyu Jiang Yuning You Yan Han Gaowen Liu Jayanth Srinivasa Ramana Rao Kompella Zhangyang Wang 26 28 0 06 Apr 2023
ERM++: An Improved Baseline for Domain Generalization Piotr Teterwak Kuniaki Saito Theodoros Tsiligkaridis Kate Saenko Bryan A. Plummer OOD 38 9 0 04 Apr 2023
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck Jongheon Jeong Sihyun Yu Hankook Lee Jinwoo Shin AAML 44 0 0 24 Mar 2023
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking Chang-Shu Liu Yinpeng Dong Wenzhao Xiang X. Yang Hang Su Junyi Zhu YueFeng Chen Yuan He H. Xue Shibao Zheng OOD VLM AAML 33 72 0 28 Feb 2023
Detecting software vulnerabilities using Language Models Marwan Omar 26 11 0 23 Feb 2023
Steerable Equivariant Representation Learning Sangnie Bhardwaj Willie McClinton Tongzhou Wang Guillaume Lajoie Chen Sun Phillip Isola Dilip Krishnan OOD LLMSV 34 5 0 22 Feb 2023
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples Qizhang Li Yiwen Guo W. Zuo Hao Chen AAML 27 35 0 10 Feb 2023
Benchmarking Robustness in Neural Radiance Fields Chen Wang Angtian Wang Junbo Li Alan Yuille Cihang Xie 37 11 0 10 Jan 2023
Dynamic Test-Time Augmentation via Differentiable Functions Shohei Enomoto Monikka Roslianna Busto Takeharu Eda OOD 40 5 0 09 Dec 2022
Lightweight Facial Attractiveness Prediction Using Dual Label Distribution Shu Liu Enquan Huang Kexuan Wang Yan Xu Xiaoyan Kui Tao Lei Hongying Meng CVBM 15 2 0 04 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
Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition Qibin Hou Cheng Lu Mingg-Ming Cheng Jiashi Feng ViT 34 129 0 22 Nov 2022
Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack Yunfeng Diao He-Nan Wang Tianjia Shao Yong-Liang Yang Kun Zhou David C. Hogg Meng Wang AAML 40 6 0 21 Nov 2022
Harmonizing the object recognition strategies of deep neural networks with humans Thomas Fel Ivan Felipe Drew Linsley Thomas Serre 33 71 0 08 Nov 2022
Generative Adversarial Training Can Improve Neural Language Models Sajad Movahedi A. Shakery GAN AI4CE 28 2 0 02 Nov 2022
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach Kaiwen Yang Yanchao Sun Jiahao Su Fengxiang He Xinmei Tian Furong Huang Dinesh Manocha Dacheng Tao 38 13 0 02 Nov 2022
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints Yinpeng Dong Shouwei Ruan Hang Su Cai Kang Xingxing Wei Junyi Zhu AAML 30 50 0 08 Oct 2022
Class-Level Logit Perturbation Mengyang Li Fengguang Su O. Wu Tianjin University AAML 31 3 0 13 Sep 2022
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs Yijun Tian Chuxu Zhang Zhichun Guo Xiangliang Zhang Nitesh V. Chawla 44 14 0 22 Aug 2022
Learning Feature Decomposition for Domain Adaptive Monocular Depth Estimation Shao-Yuan Lo Wei Wang Jim Thomas Jingjing Zheng Vishal M. Patel Cheng-Hao Kuo 15 14 0 30 Jul 2022
Contrastive Self-Supervised Learning Leads to Higher Adversarial Susceptibility Rohit Gupta Naveed Akhtar Ajmal Saeed Mian M. Shah AAML SSL 26 5 0 22 Jul 2022
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations Tianlong Chen Peihao Wang Zhiwen Fan Zhangyang Wang 36 55 0 04 Jul 2022
Removing Batch Normalization Boosts Adversarial Training Haotao Wang Aston Zhang Shuai Zheng Xingjian Shi Mu Li Zhangyang Wang 37 41 0 04 Jul 2022
Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models Liu Zhendong Wenyu Jiang Yan Zhang Chongjun Wang CML 11 0 0 22 Jun 2022
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks Z. Yang Richard Sinnott James Bailey Qiuhong Ke 23 39 0 14 Jun 2022
Which models are innately best at uncertainty estimation? Ido Galil Mohammed Dabbah Ran El-Yaniv UQCV 34 5 0 05 Jun 2022
Batch Normalization Is Blind to the First and Second Derivatives of the Loss Zhanpeng Zhou Wen Shen Huixin Chen Ling Tang Quanshi Zhang 34 2 0 30 May 2022
How explainable are adversarially-robust CNNs? Mehdi Nourelahi Lars Kotthoff Peijie Chen Anh Totti Nguyen AAML FAtt 22 8 0 25 May 2022
One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks Shutong Wu Sizhe Chen Cihang Xie X. Huang AAML 45 27 0 24 May 2022