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Using Single-Step Adversarial Training to Defend Iterative Adversarial
  Examples
v1v2 (latest)

Using Single-Step Adversarial Training to Defend Iterative Adversarial Examples

Conference on Data and Application Security and Privacy (CODASPY), 2020
22 February 2020
Guanxiong Liu
Issa M. Khalil
Abdallah Khreishah
    AAML
ArXiv (abs)PDFHTML

Papers citing "Using Single-Step Adversarial Training to Defend Iterative Adversarial Examples"

9 / 9 papers shown
MeanSparse: Post-Training Robustness Enhancement Through Mean-Centered Feature Sparsification
MeanSparse: Post-Training Robustness Enhancement Through Mean-Centered Feature Sparsification
Sajjad Amini
Mohammadreza Teymoorianfard
Shiqing Ma
Amir Houmansadr
OODAAML
443
22
0
09 Jun 2024
Better Diffusion Models Further Improve Adversarial Training
Better Diffusion Models Further Improve Adversarial TrainingInternational Conference on Machine Learning (ICML), 2023
Zekai Wang
Tianyu Pang
Chao Du
Min Lin
Weiwei Liu
Shuicheng Yan
DiffM
568
298
0
09 Feb 2023
Metricizing the Euclidean Space towards Desired Distance Relations in
  Point Clouds
Metricizing the Euclidean Space towards Desired Distance Relations in Point CloudsIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
Stefan Rass
Sandra Konig
Shahzad Ahmad
Maksim Goman
318
15
0
07 Nov 2022
Bridged Adversarial Training
Bridged Adversarial TrainingNeural Networks (NN), 2021
Hoki Kim
Woojin Lee
Sungyoon Lee
Jaewook Lee
AAMLGAN
178
10
0
25 Aug 2021
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart
Two Coupled Rejection Metrics Can Tell Adversarial Examples ApartComputer Vision and Pattern Recognition (CVPR), 2021
Tianyu Pang
Huishuai Zhang
Di He
Yinpeng Dong
Hang Su
Wei Chen
Jun Zhu
Tie-Yan Liu
AAML
284
26
0
31 May 2021
Fortify Machine Learning Production Systems: Detect and Classify
  Adversarial Attacks
Fortify Machine Learning Production Systems: Detect and Classify Adversarial Attacks
Matthew Ciolino
Josh Kalin
David Noever
AAML
454
2
0
19 Feb 2021
Bag of Tricks for Adversarial Training
Bag of Tricks for Adversarial TrainingInternational Conference on Learning Representations (ICLR), 2020
Tianyu Pang
Xiao Yang
Yinpeng Dong
Hang Su
Jun Zhu
AAML
445
274
0
01 Oct 2020
ManiGen: A Manifold Aided Black-box Generator of Adversarial Examples
ManiGen: A Manifold Aided Black-box Generator of Adversarial ExamplesIEEE Access (IEEE Access), 2020
Guanxiong Liu
Issa M. Khalil
Abdallah Khreishah
A. Algosaibi
Adel Aldalbahi
M. Al-Naeem
Abdulaziz Alhumam
Muhammad Anan
AAML
191
5
0
11 Jul 2020
Boosting Adversarial Training with Hypersphere Embedding
Boosting Adversarial Training with Hypersphere EmbeddingNeural Information Processing Systems (NeurIPS), 2020
Tianyu Pang
Xiao Yang
Yinpeng Dong
Kun Xu
Jun Zhu
Hang Su
AAML
438
161
0
20 Feb 2020
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