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Adversarial Training for Free!

Adversarial Training for Free!

29 April 2019
Ali Shafahi
Mahyar Najibi
Amin Ghiasi
Zheng Xu
John P. Dickerson
Christoph Studer
L. Davis
Gavin Taylor
Tom Goldstein
    AAML
ArXivPDFHTML

Papers citing "Adversarial Training for Free!"

50 / 221 papers shown
Title
A Simple Approach to Adversarial Robustness in Few-shot Image
  Classification
A Simple Approach to Adversarial Robustness in Few-shot Image Classification
Akshayvarun Subramanya
Hamed Pirsiavash
VLM
21
6
0
11 Apr 2022
Adversarial Robustness through the Lens of Convolutional Filters
Adversarial Robustness through the Lens of Convolutional Filters
Paul Gavrikov
J. Keuper
32
15
0
05 Apr 2022
Investigating Top-$k$ White-Box and Transferable Black-box Attack
Investigating Top-kkk White-Box and Transferable Black-box Attack
Chaoning Zhang
Philipp Benz
Adil Karjauv
Jae-Won Cho
Kang Zhang
In So Kweon
31
42
0
30 Mar 2022
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization
  Perspective
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective
Yimeng Zhang
Yuguang Yao
Jinghan Jia
Jinfeng Yi
Min-Fong Hong
Shiyu Chang
Sijia Liu
AAML
15
33
0
27 Mar 2022
A Survey of Robust Adversarial Training in Pattern Recognition:
  Fundamental, Theory, and Methodologies
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies
Zhuang Qian
Kaizhu Huang
Qiufeng Wang
Xu-Yao Zhang
OOD
AAML
ObjD
49
71
0
26 Mar 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
13
6
0
24 Mar 2022
Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on
  Automatic Speech Recognition Systems
Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems
H. Abdullah
Aditya Karlekar
S. Prasad
Muhammad Sajidur Rahman
Logan Blue
L. A. Bauer
Vincent Bindschaedler
Patrick Traynor
AAML
21
3
0
10 Mar 2022
Improving Health Mentioning Classification of Tweets using Contrastive
  Adversarial Training
Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training
Pervaiz Iqbal Khan
Shoaib Ahmed Siddiqui
Imran Razzak
Andreas Dengel
Sheraz Ahmed
13
3
0
03 Mar 2022
A Unified Wasserstein Distributional Robustness Framework for
  Adversarial Training
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training
Tu Bui
Trung Le
Quan Hung Tran
He Zhao
Dinh Q. Phung
AAML
OOD
31
42
0
27 Feb 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
Tianyu Pang
Min-Bin Lin
Xiao Yang
Junyi Zhu
Shuicheng Yan
24
119
0
21 Feb 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient
  Training
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training
Tianlong Chen
Zhenyu (Allen) Zhang
Pengju Wang
Santosh Balachandra
Haoyu Ma
Zehao Wang
Zhangyang Wang
OOD
AAML
77
46
0
20 Feb 2022
Approximate Nearest Neighbor Search under Neural Similarity Metric for
  Large-Scale Recommendation
Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation
Rihan Chen
Bin Liu
Han Zhu
Yao Wang
Qi Li
...
Q. hua
Junliang Jiang
Yunlong Xu
Hongbo Deng
Bo Zheng
32
20
0
14 Feb 2022
Finding Dynamics Preserving Adversarial Winning Tickets
Finding Dynamics Preserving Adversarial Winning Tickets
Xupeng Shi
Pengfei Zheng
Adam Ding
Yuan Gao
Weizhong Zhang
AAML
21
1
0
14 Feb 2022
RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding
  Style Transformation
RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style Transformation
Zhen Li
Guenevere Chen
Chen
Chen Chen
Yayi Zou
Shouhuai Xu
AAML
AI4TS
13
44
0
12 Feb 2022
Verification-Aided Deep Ensemble Selection
Verification-Aided Deep Ensemble Selection
Guy Amir
Tom Zelazny
Guy Katz
Michael Schapira
AAML
30
18
0
08 Feb 2022
Plug-In Inversion: Model-Agnostic Inversion for Vision with Data
  Augmentations
Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations
Amin Ghiasi
Hamid Kazemi
Steven Reich
Chen Zhu
Micah Goldblum
Tom Goldstein
40
15
0
31 Jan 2022
Scale-Invariant Adversarial Attack for Evaluating and Enhancing
  Adversarial Defenses
Scale-Invariant Adversarial Attack for Evaluating and Enhancing Adversarial Defenses
Mengting Xu
Tao Zhang
Zhongnian Li
Daoqiang Zhang
AAML
30
1
0
29 Jan 2022
Constrained Gradient Descent: A Powerful and Principled Evasion Attack
  Against Neural Networks
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks
Weiran Lin
Keane Lucas
Lujo Bauer
Michael K. Reiter
Mahmood Sharif
AAML
29
5
0
28 Dec 2021
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive
  Survey
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey
Shangwei Guo
Xu Zhang
Feiyu Yang
Tianwei Zhang
Yan Gan
Tao Xiang
Yang Liu
FedML
20
9
0
19 Dec 2021
All You Need is RAW: Defending Against Adversarial Attacks with Camera
  Image Pipelines
All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines
Yuxuan Zhang
B. Dong
Felix Heide
AAML
26
8
0
16 Dec 2021
Sharpness-Aware Minimization with Dynamic Reweighting
Sharpness-Aware Minimization with Dynamic Reweighting
Wenxuan Zhou
Fangyu Liu
Huan Zhang
Muhao Chen
AAML
19
8
0
16 Dec 2021
On the Impact of Hard Adversarial Instances on Overfitting in
  Adversarial Training
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training
Chen Liu
Zhichao Huang
Mathieu Salzmann
Tong Zhang
Sabine Süsstrunk
AAML
15
13
0
14 Dec 2021
Triangle Attack: A Query-efficient Decision-based Adversarial Attack
Triangle Attack: A Query-efficient Decision-based Adversarial Attack
Xiaosen Wang
Zeliang Zhang
Kangheng Tong
Dihong Gong
Kun He
Zhifeng Li
Wei Liu
AAML
24
56
0
13 Dec 2021
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer
Shiye Lei
Zhuozhuo Tu
Leszek Rutkowski
Feng Zhou
Li Shen
Fengxiang He
Dacheng Tao
BDL
23
2
0
12 Dec 2021
Push Stricter to Decide Better: A Class-Conditional Feature Adaptive
  Framework for Improving Adversarial Robustness
Push Stricter to Decide Better: A Class-Conditional Feature Adaptive Framework for Improving Adversarial Robustness
Jia-Li Yin
Lehui Xie
Wanqing Zhu
Ximeng Liu
Bo-Hao Chen
TTA
AAML
19
3
0
01 Dec 2021
MedRDF: A Robust and Retrain-Less Diagnostic Framework for Medical
  Pretrained Models Against Adversarial Attack
MedRDF: A Robust and Retrain-Less Diagnostic Framework for Medical Pretrained Models Against Adversarial Attack
Mengting Xu
Tao Zhang
Daoqiang Zhang
AAML
MedIm
15
23
0
29 Nov 2021
Subspace Adversarial Training
Subspace Adversarial Training
Tao Li
Yingwen Wu
Sizhe Chen
Kun Fang
Xiaolin Huang
AAML
OOD
38
56
0
24 Nov 2021
Medical Aegis: Robust adversarial protectors for medical images
Medical Aegis: Robust adversarial protectors for medical images
Qingsong Yao
Zecheng He
S. Kevin Zhou
AAML
MedIm
19
2
0
22 Nov 2021
Are Transformers More Robust Than CNNs?
Are Transformers More Robust Than CNNs?
Yutong Bai
Jieru Mei
Alan Yuille
Cihang Xie
ViT
AAML
192
257
0
10 Nov 2021
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated
  Channel Maps
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps
Muhammad Awais
Fengwei Zhou
Chuanlong Xie
Jiawei Li
Sung-Ho Bae
Zhenguo Li
AAML
32
17
0
09 Nov 2021
Robust and Information-theoretically Safe Bias Classifier against
  Adversarial Attacks
Robust and Information-theoretically Safe Bias Classifier against Adversarial Attacks
Lijia Yu
Xiao-Shan Gao
AAML
16
5
0
08 Nov 2021
LTD: Low Temperature Distillation for Robust Adversarial Training
LTD: Low Temperature Distillation for Robust Adversarial Training
Erh-Chung Chen
Che-Rung Lee
AAML
24
26
0
03 Nov 2021
ε-weakened Robustness of Deep Neural Networks
ε-weakened Robustness of Deep Neural Networks
Pei Huang
Yuting Yang
Minghao Liu
Fuqi Jia
Feifei Ma
Jian Zhang
AAML
19
18
0
29 Oct 2021
Ensemble Federated Adversarial Training with Non-IID data
Ensemble Federated Adversarial Training with Non-IID data
Shuang Luo
Didi Zhu
Zexi Li
Chao-Xiang Wu
FedML
25
7
0
26 Oct 2021
Black-box Adversarial Attacks on Commercial Speech Platforms with
  Minimal Information
Black-box Adversarial Attacks on Commercial Speech Platforms with Minimal Information
Baolin Zheng
Peipei Jiang
Qian Wang
Qi Li
Chao Shen
Cong Wang
Yunjie Ge
Qingyang Teng
Shenyi Zhang
AAML
15
69
0
19 Oct 2021
Exploring Architectural Ingredients of Adversarially Robust Deep Neural
  Networks
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
Hanxun Huang
Yisen Wang
S. Erfani
Quanquan Gu
James Bailey
Xingjun Ma
AAML
TPM
46
100
0
07 Oct 2021
Improving Adversarial Robustness for Free with Snapshot Ensemble
Improving Adversarial Robustness for Free with Snapshot Ensemble
Yihao Wang
AAML
UQCV
9
1
0
07 Oct 2021
HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep
  Spiking Neural Networks by Training with Crafted Input Noise
HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise
Souvik Kundu
Massoud Pedram
P. Beerel
AAML
14
70
0
06 Oct 2021
BulletTrain: Accelerating Robust Neural Network Training via Boundary
  Example Mining
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining
Weizhe Hua
Yichi Zhang
Chuan Guo
Zhiru Zhang
G. E. Suh
OOD
39
15
0
29 Sep 2021
Dense Contrastive Visual-Linguistic Pretraining
Dense Contrastive Visual-Linguistic Pretraining
Lei Shi
Kai Shuang
Shijie Geng
Peng Gao
Zuohui Fu
Gerard de Melo
Yunpeng Chen
Sen Su
VLM
SSL
52
10
0
24 Sep 2021
SoK: Machine Learning Governance
SoK: Machine Learning Governance
Varun Chandrasekaran
Hengrui Jia
Anvith Thudi
Adelin Travers
Mohammad Yaghini
Nicolas Papernot
32
16
0
20 Sep 2021
On the Noise Stability and Robustness of Adversarially Trained Networks
  on NVM Crossbars
On the Noise Stability and Robustness of Adversarially Trained Networks on NVM Crossbars
Chun Tao
Deboleena Roy
I. Chakraborty
Kaushik Roy
AAML
24
2
0
19 Sep 2021
Simple Post-Training Robustness Using Test Time Augmentations and Random
  Forest
Simple Post-Training Robustness Using Test Time Augmentations and Random Forest
Gilad Cohen
Raja Giryes
AAML
32
4
0
16 Sep 2021
Improving Gradient-based Adversarial Training for Text Classification by
  Contrastive Learning and Auto-Encoder
Improving Gradient-based Adversarial Training for Text Classification by Contrastive Learning and Auto-Encoder
Yao Qiu
Jinchao Zhang
Jie Zhou
AAML
SILM
27
16
0
14 Sep 2021
On the regularized risk of distributionally robust learning over deep
  neural networks
On the regularized risk of distributionally robust learning over deep neural networks
Camilo A. Garcia Trillos
Nicolas García Trillos
OOD
37
10
0
13 Sep 2021
TREATED:Towards Universal Defense against Textual Adversarial Attacks
TREATED:Towards Universal Defense against Textual Adversarial Attacks
Bin Zhu
Zhaoquan Gu
Le Wang
Zhihong Tian
AAML
28
8
0
13 Sep 2021
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency
Yonggan Fu
Yang Katie Zhao
Qixuan Yu
Chaojian Li
Yingyan Lin
AAML
44
12
0
11 Sep 2021
Robust fine-tuning of zero-shot models
Robust fine-tuning of zero-shot models
Mitchell Wortsman
Gabriel Ilharco
Jong Wook Kim
Mike Li
Simon Kornblith
...
Raphael Gontijo-Lopes
Hannaneh Hajishirzi
Ali Farhadi
Hongseok Namkoong
Ludwig Schmidt
VLM
26
688
0
04 Sep 2021
Adversarial Robustness for Unsupervised Domain Adaptation
Adversarial Robustness for Unsupervised Domain Adaptation
Muhammad Awais
Fengwei Zhou
Hang Xu
Lanqing Hong
Ping Luo
Sung-Ho Bae
Zhenguo Li
18
39
0
02 Sep 2021
Towards Understanding the Generative Capability of Adversarially Robust
  Classifiers
Towards Understanding the Generative Capability of Adversarially Robust Classifiers
Yao Zhu
Jiacheng Ma
Jiacheng Sun
Zewei Chen
Rongxin Jiang
Zhenguo Li
AAML
15
21
0
20 Aug 2021
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