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You Only Propagate Once: Accelerating Adversarial Training via Maximal
  Principle

You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle

2 May 2019
Dinghuai Zhang
Tianyuan Zhang
Yiping Lu
Zhanxing Zhu
Bin Dong
    AAML
ArXivPDFHTML

Papers citing "You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle"

40 / 90 papers shown
Title
LAFEAT: Piercing Through Adversarial Defenses with Latent Features
LAFEAT: Piercing Through Adversarial Defenses with Latent Features
Yunrui Yu
Xitong Gao
Chengzhong Xu
AAML
FedML
25
44
0
19 Apr 2021
Relating Adversarially Robust Generalization to Flat Minima
Relating Adversarially Robust Generalization to Flat Minima
David Stutz
Matthias Hein
Bernt Schiele
OOD
29
65
0
09 Apr 2021
Universal Adversarial Training with Class-Wise Perturbations
Universal Adversarial Training with Class-Wise Perturbations
Philipp Benz
Chaoning Zhang
Adil Karjauv
In So Kweon
AAML
15
26
0
07 Apr 2021
Adversarial Robustness under Long-Tailed Distribution
Adversarial Robustness under Long-Tailed Distribution
Tong Wu
Ziwei Liu
Qingqiu Huang
Yu Wang
Dahua Lin
18
76
0
06 Apr 2021
Learning Defense Transformers for Counterattacking Adversarial Examples
Learning Defense Transformers for Counterattacking Adversarial Examples
Jincheng Li
Jiezhang Cao
Yifan Zhang
Jian Chen
Mingkui Tan
AAML
29
2
0
13 Mar 2021
Towards Evaluating the Robustness of Deep Diagnostic Models by
  Adversarial Attack
Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack
Mengting Xu
Tao Zhang
Zhongnian Li
Mingxia Liu
Daoqiang Zhang
AAML
OOD
MedIm
25
41
0
05 Mar 2021
Dynamic Efficient Adversarial Training Guided by Gradient Magnitude
Dynamic Efficient Adversarial Training Guided by Gradient Magnitude
Fu Lee Wang
Yanghao Zhang
Yanbin Zheng
Wenjie Ruan
23
1
0
04 Mar 2021
A Survey On Universal Adversarial Attack
A Survey On Universal Adversarial Attack
Chaoning Zhang
Philipp Benz
Chenguo Lin
Adil Karjauv
Jing Wu
In So Kweon
AAML
23
90
0
02 Mar 2021
On Fast Adversarial Robustness Adaptation in Model-Agnostic
  Meta-Learning
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
Ren Wang
Kaidi Xu
Sijia Liu
Pin-Yu Chen
Tsui-Wei Weng
Chuang Gan
Meng Wang
AAML
11
46
0
20 Feb 2021
Low Curvature Activations Reduce Overfitting in Adversarial Training
Low Curvature Activations Reduce Overfitting in Adversarial Training
Vasu Singla
Sahil Singla
David Jacobs
S. Feizi
AAML
32
45
0
15 Feb 2021
Hardware and Software Optimizations for Accelerating Deep Neural
  Networks: Survey of Current Trends, Challenges, and the Road Ahead
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead
Maurizio Capra
Beatrice Bussolino
Alberto Marchisio
Guido Masera
Maurizio Martina
Muhammad Shafique
BDL
56
140
0
21 Dec 2020
Learnable Boundary Guided Adversarial Training
Learnable Boundary Guided Adversarial Training
Jiequan Cui
Shu-Lin Liu
Liwei Wang
Jiaya Jia
OOD
AAML
19
124
0
23 Nov 2020
Recent Advances in Understanding Adversarial Robustness of Deep Neural
  Networks
Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks
Tao Bai
Jinqi Luo
Jun Zhao
AAML
46
8
0
03 Nov 2020
Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution
  Data
Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data
Lingkai Kong
Haoming Jiang
Yuchen Zhuang
Jie Lyu
T. Zhao
Chao Zhang
OODD
19
26
0
22 Oct 2020
A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack
  and Learning
A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning
Hongjun Wang
Guanbin Li
Xiaobai Liu
Liang Lin
GAN
AAML
16
22
0
15 Oct 2020
A Simple but Tough-to-Beat Data Augmentation Approach for Natural
  Language Understanding and Generation
A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation
Dinghan Shen
Ming Zheng
Yelong Shen
Yanru Qu
Weizhu Chen
AAML
21
130
0
29 Sep 2020
Practical Detection of Trojan Neural Networks: Data-Limited and
  Data-Free Cases
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases
Ren Wang
Gaoyuan Zhang
Sijia Liu
Pin-Yu Chen
Jinjun Xiong
Meng Wang
AAML
25
148
0
31 Jul 2020
A Differential Game Theoretic Neural Optimizer for Training Residual
  Networks
A Differential Game Theoretic Neural Optimizer for Training Residual Networks
Guan-Horng Liu
T. Chen
Evangelos A. Theodorou
21
2
0
17 Jul 2020
On the Loss Landscape of Adversarial Training: Identifying Challenges
  and How to Overcome Them
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them
Chen Liu
Mathieu Salzmann
Tao R. Lin
Ryota Tomioka
Sabine Süsstrunk
AAML
19
81
0
15 Jun 2020
Large-Scale Adversarial Training for Vision-and-Language Representation
  Learning
Large-Scale Adversarial Training for Vision-and-Language Representation Learning
Zhe Gan
Yen-Chun Chen
Linjie Li
Chen Zhu
Yu Cheng
Jingjing Liu
ObjD
VLM
29
488
0
11 Jun 2020
A Stochastic Subgradient Method for Distributionally Robust Non-Convex
  Learning
A Stochastic Subgradient Method for Distributionally Robust Non-Convex Learning
Mert Gurbuzbalaban
A. Ruszczynski
Landi Zhu
15
9
0
08 Jun 2020
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses
Yaxin Li
Wei Jin
Han Xu
Jiliang Tang
AAML
19
129
0
13 May 2020
A Mean-field Analysis of Deep ResNet and Beyond: Towards Provable
  Optimization Via Overparameterization From Depth
A Mean-field Analysis of Deep ResNet and Beyond: Towards Provable Optimization Via Overparameterization From Depth
Yiping Lu
Chao Ma
Yulong Lu
Jianfeng Lu
Lexing Ying
MLT
33
78
0
11 Mar 2020
Overfitting in adversarially robust deep learning
Overfitting in adversarially robust deep learning
Leslie Rice
Eric Wong
Zico Kolter
30
785
0
26 Feb 2020
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
Jingfeng Zhang
Xilie Xu
Bo Han
Gang Niu
Li-zhen Cui
Masashi Sugiyama
Mohan S. Kankanhalli
AAML
22
396
0
26 Feb 2020
The Curious Case of Adversarially Robust Models: More Data Can Help,
  Double Descend, or Hurt Generalization
The Curious Case of Adversarially Robust Models: More Data Can Help, Double Descend, or Hurt Generalization
Yifei Min
Lin Chen
Amin Karbasi
AAML
31
69
0
25 Feb 2020
CAT: Customized Adversarial Training for Improved Robustness
CAT: Customized Adversarial Training for Improved Robustness
Minhao Cheng
Qi Lei
Pin-Yu Chen
Inderjit Dhillon
Cho-Jui Hsieh
OOD
AAML
21
114
0
17 Feb 2020
Semantic Robustness of Models of Source Code
Semantic Robustness of Models of Source Code
Goutham Ramakrishnan
Jordan Henkel
Zi Wang
Aws Albarghouthi
S. Jha
Thomas W. Reps
SILM
AAML
35
97
0
07 Feb 2020
Fast is better than free: Revisiting adversarial training
Fast is better than free: Revisiting adversarial training
Eric Wong
Leslie Rice
J. Zico Kolter
AAML
OOD
52
1,158
0
12 Jan 2020
MACER: Attack-free and Scalable Robust Training via Maximizing Certified
  Radius
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius
Runtian Zhai
Chen Dan
Di He
Huan Zhang
Boqing Gong
Pradeep Ravikumar
Cho-Jui Hsieh
Liwei Wang
OOD
AAML
14
177
0
08 Jan 2020
Efficient Adversarial Training with Transferable Adversarial Examples
Efficient Adversarial Training with Transferable Adversarial Examples
Haizhong Zheng
Ziqi Zhang
Juncheng Gu
Honglak Lee
A. Prakash
AAML
22
107
0
27 Dec 2019
Deep Learning via Dynamical Systems: An Approximation Perspective
Deep Learning via Dynamical Systems: An Approximation Perspective
Qianxiao Li
Ting Lin
Zuowei Shen
AI4TS
AI4CE
14
107
0
22 Dec 2019
A Review on Deep Learning in Medical Image Reconstruction
A Review on Deep Learning in Medical Image Reconstruction
Hai-Miao Zhang
Bin Dong
MedIm
32
122
0
23 Jun 2019
Intriguing properties of adversarial training at scale
Intriguing properties of adversarial training at scale
Cihang Xie
Alan Yuille
AAML
8
68
0
10 Jun 2019
Scaleable input gradient regularization for adversarial robustness
Scaleable input gradient regularization for adversarial robustness
Chris Finlay
Adam M. Oberman
AAML
16
77
0
27 May 2019
Percival: Making In-Browser Perceptual Ad Blocking Practical With Deep
  Learning
Percival: Making In-Browser Perceptual Ad Blocking Practical With Deep Learning
Z. Din
P. Tigas
Samuel T. King
B. Livshits
VLM
28
29
0
17 May 2019
Adversarial Training and Robustness for Multiple Perturbations
Adversarial Training and Robustness for Multiple Perturbations
Florian Tramèr
Dan Boneh
AAML
SILM
19
374
0
30 Apr 2019
MMA Training: Direct Input Space Margin Maximization through Adversarial
  Training
MMA Training: Direct Input Space Margin Maximization through Adversarial Training
G. Ding
Yash Sharma
Kry Yik-Chau Lui
Ruitong Huang
AAML
16
270
0
06 Dec 2018
Lifted Neural Networks
Lifted Neural Networks
Armin Askari
Geoffrey Negiar
Rajiv Sambharya
L. Ghaoui
26
37
0
03 May 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
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