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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

IEEE International Conference on Computer Vision (ICCV), 2021
13 August 2021
Hong Wang
Yuefan Deng
Shinjae Yoo
Haibin Ling
Lu Ma
    AAML
ArXiv (abs)PDFHTMLGithub (12★)

Papers citing "AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric Learning"

2 / 2 papers shown
Title
Meta Invariance Defense Towards Generalizable Robustness to Unknown
  Adversarial Attacks
Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial AttacksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Lei Zhang
Yuhang Zhou
Yi Yang
Xinbo Gao
AAMLOOD
128
10
0
04 Apr 2024
Defense against Adversarial Cloud Attack on Remote Sensing Salient
  Object Detection
Defense against Adversarial Cloud Attack on Remote Sensing Salient Object DetectionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Huiming Sun
Lan Fu
Jinlong Li
Qing Guo
Zibo Meng
Tianyun Zhang
Yuewei Lin
Hongkai Yu
AAML
137
16
0
30 Jun 2023
1