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Adversarial Examples Improve Image Recognition

Adversarial Examples Improve Image Recognition

21 November 2019
Cihang Xie
Mingxing Tan
Boqing Gong
Jiang Wang
Alan Yuille
Quoc V. Le
    AAML
ArXivPDFHTML

Papers citing "Adversarial Examples Improve Image Recognition"

50 / 107 papers shown
Title
Towards Assessing Deep Learning Test Input Generators
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
Predicting Movie Production Years through Facial Recognition of Actors with Machine Learning
Asraa Muayed Abdalah
Noor Redha Alkazaz
34
1
0
01 Apr 2025
Scale-Invariant Adversarial Attack against Arbitrary-scale Super-resolution
Yihao Huang
Xin Luo
Qing Guo
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
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
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness
Kejia Zhang
Juanjuan Weng
Yuanzheng Cai
Zhiming Luo
Shaozi Li
AAML
59
0
0
04 Jul 2024
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off
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
RAMP: Boosting Adversarial Robustness Against Multiple lpl_plp​ Perturbations
Enyi Jiang
Gagandeep Singh
AAML
30
1
0
09 Feb 2024
Linearizing Models for Efficient yet Robust Private Inference
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
Towards Transferable Adversarial Attacks with Centralized Perturbation
Shangbo Wu
Yu-an Tan
Yajie Wang
Ruinan Ma
Wencong Ma
Yuan-zhang Li
AAML
13
9
0
11 Dec 2023
CoRec: An Easy Approach for Coordination Recognition
CoRec: An Easy Approach for Coordination Recognition
Gabor Angeli
Haojie Jia
M. Premkumar
Qi Li
11
1
0
30 Nov 2023
COCO-O: A Benchmark for Object Detectors under Natural Distribution
  Shifts
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
36
18
0
24 Jul 2023
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
Hiroki Naganuma
Ryuichiro Hataya
Kotaro Yoshida
Ioannis Mitliagkas
OODD
89
1
0
17 Jul 2023
NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations
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
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
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
Improve Video Representation with Temporal Adversarial Augmentation
Improve Video Representation with Temporal Adversarial Augmentation
Jinhao Duan
Quanfu Fan
Hao-Ran Cheng
Xiaoshuang Shi
Kaidi Xu
AAML
AI4TS
ViT
23
2
0
28 Apr 2023
Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning
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
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit
  Diversity Modeling
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
21
28
0
06 Apr 2023
Enhancing Multiple Reliability Measures via Nuisance-extended
  Information Bottleneck
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck
Jongheon Jeong
Sihyun Yu
Hankook Lee
Jinwoo Shin
AAML
36
0
0
24 Mar 2023
A Comprehensive Study on Robustness of Image Classification Models:
  Benchmarking and Rethinking
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
27
72
0
28 Feb 2023
Detecting software vulnerabilities using Language Models
Detecting software vulnerabilities using Language Models
Marwan Omar
24
11
0
23 Feb 2023
Steerable Equivariant Representation Learning
Steerable Equivariant Representation Learning
Sangnie Bhardwaj
Willie McClinton
Tongzhou Wang
Guillaume Lajoie
Chen Sun
Phillip Isola
Dilip Krishnan
OOD
LLMSV
26
5
0
22 Feb 2023
Making Substitute Models More Bayesian Can Enhance Transferability of
  Adversarial Examples
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
Benchmarking Robustness in Neural Radiance Fields
Chen Wang
Angtian Wang
Junbo Li
Alan Yuille
Cihang Xie
32
11
0
10 Jan 2023
Dynamic Test-Time Augmentation via Differentiable Functions
Dynamic Test-Time Augmentation via Differentiable Functions
Shohei Enomoto
Monikka Roslianna Busto
Takeharu Eda
OOD
35
5
0
09 Dec 2022
Context-Aware Robust Fine-Tuning
Context-Aware Robust Fine-Tuning
Xiaofeng Mao
YueFeng Chen
Xiaojun Jia
Rong Zhang
Hui Xue
Zhao Li
VLM
CLIP
24
23
0
29 Nov 2022
Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition
Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition
Qibin Hou
Cheng Lu
Mingg-Ming Cheng
Jiashi Feng
ViT
31
129
0
22 Nov 2022
Understanding the Vulnerability of Skeleton-based Human Activity
  Recognition via Black-box Attack
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
32
6
0
21 Nov 2022
Harmonizing the object recognition strategies of deep neural networks
  with humans
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
Generative Adversarial Training Can Improve Neural Language Models
Sajad Movahedi
A. Shakery
GAN
AI4CE
18
2
0
02 Nov 2022
Adversarial Auto-Augment with Label Preservation: A Representation
  Learning Principle Guided Approach
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach
Kaiwen Yang
Yanchao Sun
Jiahao Su
Fengxiang He
Xinmei Tian
Furong Huang
Tianyi Zhou
Dacheng Tao
27
13
0
02 Nov 2022
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial
  Viewpoints
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints
Yinpeng Dong
Shouwei Ruan
Hang Su
Cai Kang
Xingxing Wei
Junyi Zhu
AAML
28
50
0
08 Oct 2022
Class-Level Logit Perturbation
Class-Level Logit Perturbation
Mengyang Li
Fengguang Su
O. Wu
Tianjin University
AAML
29
3
0
13 Sep 2022
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs
Yijun Tian
Chuxu Zhang
Zhichun Guo
Xiangliang Zhang
Nitesh V. Chawla
41
14
0
22 Aug 2022
Learning Feature Decomposition for Domain Adaptive Monocular Depth
  Estimation
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
Contrastive Self-Supervised Learning Leads to Higher Adversarial Susceptibility
Rohit Gupta
Naveed Akhtar
Ajmal Saeed Mian
M. Shah
AAML
SSL
21
5
0
22 Jul 2022
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level
  Physically-Grounded Augmentations
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations
Tianlong Chen
Peihao Wang
Zhiwen Fan
Zhangyang Wang
28
55
0
04 Jul 2022
Removing Batch Normalization Boosts Adversarial Training
Removing Batch Normalization Boosts Adversarial Training
Haotao Wang
Aston Zhang
Shuai Zheng
Xingjian Shi
Mu Li
Zhangyang Wang
32
41
0
04 Jul 2022
Explanation-based Counterfactual Retraining(XCR): A Calibration Method
  for Black-box Models
Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models
Liu Zhendong
Wenyu Jiang
Yan Zhang
Chongjun Wang
CML
6
0
0
22 Jun 2022
A Survey of Automated Data Augmentation Algorithms for Deep
  Learning-based Image Classification Tasks
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks
Z. Yang
Richard Sinnott
James Bailey
Qiuhong Ke
20
39
0
14 Jun 2022
Which models are innately best at uncertainty estimation?
Which models are innately best at uncertainty estimation?
Ido Galil
Mohammed Dabbah
Ran El-Yaniv
UQCV
24
5
0
05 Jun 2022
One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks
One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks
Shutong Wu
Sizhe Chen
Cihang Xie
X. Huang
AAML
42
26
0
24 May 2022
On Fragile Features and Batch Normalization in Adversarial Training
On Fragile Features and Batch Normalization in Adversarial Training
Nils Philipp Walter
David Stutz
Bernt Schiele
AAML
13
5
0
26 Apr 2022
Deeper Insights into the Robustness of ViTs towards Common Corruptions
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
Fast AdvProp
Jieru Mei
Yucheng Han
Yutong Bai
Yixiao Zhang
Yingwei Li
Xianhang Li
Alan Yuille
Cihang Xie
AAML
24
8
0
21 Apr 2022
Improving Vision Transformers by Revisiting High-frequency Components
Improving Vision Transformers by Revisiting High-frequency Components
Jiawang Bai
Liuliang Yuan
Shutao Xia
Shuicheng Yan
Zhifeng Li
W. Liu
ViT
8
90
0
03 Apr 2022
A Manifold View of Adversarial Risk
A Manifold View of Adversarial Risk
Wen-jun Zhang
Yikai Zhang
Xiaoling Hu
Mayank Goswami
Chao Chen
Dimitris N. Metaxas
AAML
9
6
0
24 Mar 2022
On the Effectiveness of Adversarial Training against Backdoor Attacks
On the Effectiveness of Adversarial Training against Backdoor Attacks
Yinghua Gao
Dongxian Wu
Jingfeng Zhang
Guanhao Gan
Shutao Xia
Gang Niu
Masashi Sugiyama
AAML
32
22
0
22 Feb 2022
Exploring Adversarially Robust Training for Unsupervised Domain
  Adaptation
Exploring Adversarially Robust Training for Unsupervised Domain Adaptation
Shao-Yuan Lo
Vishal M. Patel
AAML
16
8
0
18 Feb 2022
End-to-end Reinforcement Learning of Robotic Manipulation with Robust
  Keypoints Representation
End-to-end Reinforcement Learning of Robotic Manipulation with Robust Keypoints Representation
Tianying Wang
En Yen Puang
Marcus Lee
Y. Wu
Wei Jing
SSL
20
5
0
12 Feb 2022
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