ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1811.10716
  4. Cited By
Bilateral Adversarial Training: Towards Fast Training of More Robust
  Models Against Adversarial Attacks

Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks

26 November 2018
Jianyu Wang
Haichao Zhang
    OOD
    AAML
ArXivPDFHTML

Papers citing "Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks"

32 / 32 papers shown
Title
DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for
  Domain Adaptation
DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation
Menglong Lu
Zhen Huang
Yunxiang Zhao
Zhiliang Tian
Yang Liu
Dongsheng Li
34
6
0
05 Aug 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks &
  Defenses
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses
Joana Cabral Costa
Tiago Roxo
Hugo Manuel Proença
Pedro R. M. Inácio
AAML
52
50
0
18 May 2023
Randomized Adversarial Training via Taylor Expansion
Randomized Adversarial Training via Taylor Expansion
Gao Jin
Xinping Yi
Dengyu Wu
Ronghui Mu
Xiaowei Huang
AAML
44
34
0
19 Mar 2023
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive
  Smoothing
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing
Yatong Bai
Brendon G. Anderson
Aerin Kim
Somayeh Sojoudi
AAML
36
18
0
29 Jan 2023
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
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
51
72
0
26 Mar 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient
  Training
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training
Tianlong Chen
Zhenyu Zhang
Pengju Wang
Santosh Balachandra
Haoyu Ma
Zehao Wang
Zhangyang Wang
OOD
AAML
100
47
0
20 Feb 2022
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
Adv-4-Adv: Thwarting Changing Adversarial Perturbations via Adversarial
  Domain Adaptation
Adv-4-Adv: Thwarting Changing Adversarial Perturbations via Adversarial Domain Adaptation
Tianyue Zheng
Zhe Chen
Shuya Ding
Chao Cai
Jun Luo
AAML
35
5
0
01 Dec 2021
Adversarial Attacks and Defenses for Social Network Text Processing
  Applications: Techniques, Challenges and Future Research Directions
Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions
I. Alsmadi
Kashif Ahmad
Mahmoud Nazzal
Firoj Alam
Ala I. Al-Fuqaha
Abdallah Khreishah
A. Algosaibi
AAML
27
16
0
26 Oct 2021
A Hierarchical Assessment of Adversarial Severity
A Hierarchical Assessment of Adversarial Severity
Guillaume Jeanneret
Juan Pérez
Pablo Arbeláez
AAML
30
2
0
26 Aug 2021
AGKD-BML: Defense Against Adversarial Attack by Attention Guided
  Knowledge Distillation and Bi-directional Metric Learning
AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric Learning
Hong Wang
Yuefan Deng
Shinjae Yoo
Haibin Ling
Yuewei Lin
AAML
32
15
0
13 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A
  survey
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Mian
Navid Kardan
M. Shah
AAML
31
236
0
01 Aug 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
28
1
0
04 Mar 2021
Self-Progressing Robust Training
Self-Progressing Robust Training
Minhao Cheng
Pin-Yu Chen
Sijia Liu
Shiyu Chang
Cho-Jui Hsieh
Payel Das
AAML
VLM
29
9
0
22 Dec 2020
Learnable Boundary Guided Adversarial Training
Learnable Boundary Guided Adversarial Training
Jiequan Cui
Shu Liu
Liwei Wang
Jiaya Jia
OOD
AAML
30
124
0
23 Nov 2020
Robustness May Be at Odds with Fairness: An Empirical Study on
  Class-wise Accuracy
Robustness May Be at Odds with Fairness: An Empirical Study on Class-wise Accuracy
Philipp Benz
Chaoning Zhang
Adil Karjauv
In So Kweon
AAML
24
57
0
26 Oct 2020
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
234
680
0
19 Oct 2020
Adversarial Machine Learning in Image Classification: A Survey Towards
  the Defender's Perspective
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective
G. R. Machado
Eugênio Silva
R. Goldschmidt
AAML
33
156
0
08 Sep 2020
Addressing Neural Network Robustness with Mixup and Targeted Labeling
  Adversarial Training
Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training
Alfred Laugros
A. Caplier
Matthieu Ospici
AAML
24
19
0
19 Aug 2020
Anti-Bandit Neural Architecture Search for Model Defense
Anti-Bandit Neural Architecture Search for Model Defense
Hanlin Chen
Baochang Zhang
Shenjun Xue
Xuan Gong
Hong Liu
Rongrong Ji
David Doermann
AAML
22
33
0
03 Aug 2020
Stylized Adversarial Defense
Stylized Adversarial Defense
Muzammal Naseer
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
Fatih Porikli
GAN
AAML
28
16
0
29 Jul 2020
Adversarial Training against Location-Optimized Adversarial Patches
Adversarial Training against Location-Optimized Adversarial Patches
Sukrut Rao
David Stutz
Bernt Schiele
AAML
19
91
0
05 May 2020
Adversarial Ranking Attack and Defense
Adversarial Ranking Attack and Defense
Mo Zhou
Zhenxing Niu
Le Wang
Qilin Zhang
G. Hua
36
38
0
26 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
27
114
0
17 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
99
1,158
0
12 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
24
108
0
27 Dec 2019
One Man's Trash is Another Man's Treasure: Resisting Adversarial
  Examples by Adversarial Examples
One Man's Trash is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples
Chang Xiao
Changxi Zheng
AAML
25
19
0
25 Nov 2019
Defense Against Adversarial Attacks Using Feature Scattering-based
  Adversarial Training
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training
Haichao Zhang
Jianyu Wang
AAML
23
230
0
24 Jul 2019
Intriguing properties of adversarial training at scale
Intriguing properties of adversarial training at scale
Cihang Xie
Alan Yuille
AAML
13
68
0
10 Jun 2019
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
296
3,112
0
04 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
308
5,842
0
08 Jul 2016
1