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1905.00877
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You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle
2 May 2019
Dinghuai Zhang
Tianyuan Zhang
Yiping Lu
Zhanxing Zhu
Bin Dong
AAML
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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
Yunrui Yu
Xitong Gao
Chengzhong Xu
AAML
FedML
25
44
0
19 Apr 2021
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
Philipp Benz
Chaoning Zhang
Adil Karjauv
In So Kweon
AAML
15
26
0
07 Apr 2021
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
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
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
Fu Lee Wang
Yanghao Zhang
Yanbin Zheng
Wenjie Ruan
23
1
0
04 Mar 2021
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
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
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
Maurizio Capra
Beatrice Bussolino
Alberto Marchisio
Guido Masera
Maurizio Martina
Muhammad Shafique
BDL
56
140
0
21 Dec 2020
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
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
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
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
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
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
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
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
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
Mert Gurbuzbalaban
A. Ruszczynski
Landi Zhu
15
9
0
08 Jun 2020
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
Yiping Lu
Chao Ma
Yulong Lu
Jianfeng Lu
Lexing Ying
MLT
33
78
0
11 Mar 2020
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
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
Yifei Min
Lin Chen
Amin Karbasi
AAML
31
69
0
25 Feb 2020
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
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
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
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
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
Qianxiao Li
Ting Lin
Zuowei Shen
AI4TS
AI4CE
14
107
0
22 Dec 2019
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
Cihang Xie
Alan Yuille
AAML
8
68
0
10 Jun 2019
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
Z. Din
P. Tigas
Samuel T. King
B. Livshits
VLM
28
29
0
17 May 2019
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
G. Ding
Yash Sharma
Kry Yik-Chau Lui
Ruitong Huang
AAML
16
270
0
06 Dec 2018
Lifted Neural Networks
Armin Askari
Geoffrey Negiar
Rajiv Sambharya
L. Ghaoui
26
37
0
03 May 2018
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
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