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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

13 August 2021
Hong Wang
Yuefan Deng
Shinjae Yoo
Haibin Ling
Yuewei Lin
    AAML
ArXivPDFHTML

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

12 / 12 papers shown
Title
Trustworthy Federated Learning: Privacy, Security, and Beyond
Trustworthy Federated Learning: Privacy, Security, and Beyond
Chunlu Chen
Ji Liu
Haowen Tan
Xingjian Li
Kevin I-Kai Wang
Peng Li
Kouichi Sakurai
Dejing Dou
FedML
52
3
0
03 Nov 2024
Meta Invariance Defense Towards Generalizable Robustness to Unknown
  Adversarial Attacks
Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks
Lei Zhang
Yuhang Zhou
Yi Yang
Xinbo Gao
AAML
OOD
40
7
0
04 Apr 2024
Defense without Forgetting: Continual Adversarial Defense with
  Anisotropic & Isotropic Pseudo Replay
Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay
Yuhang Zhou
Zhongyun Hua
AAML
CLL
43
3
0
02 Apr 2024
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset
  Distillation
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation
Yifan Wu
Jiawei Du
Ping Liu
Yuewei Lin
Wenqing Cheng
Wei-ping Xu
DD
AAML
40
5
0
20 Mar 2024
Exploring Robust Features for Improving Adversarial Robustness
Exploring Robust Features for Improving Adversarial Robustness
Hong Wang
Yuefan Deng
Shinjae Yoo
Yuewei Lin
AAML
28
4
0
09 Sep 2023
Adversarial Finetuning with Latent Representation Constraint to Mitigate
  Accuracy-Robustness Tradeoff
Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff
Satoshi Suzuki
Shinýa Yamaguchi
Shoichiro Takeda
Sekitoshi Kanai
Naoki Makishima
Atsushi Ando
Ryo Masumura
AAML
30
4
0
31 Aug 2023
Defense against Adversarial Cloud Attack on Remote Sensing Salient
  Object Detection
Defense against Adversarial Cloud Attack on Remote Sensing Salient Object Detection
Huiming Sun
Lan Fu
Jinlong Li
Qing-Wu Guo
Zibo Meng
Tianyun Zhang
Yuewei Lin
Hongkai Yu
AAML
19
9
0
30 Jun 2023
Robust Proxy: Improving Adversarial Robustness by Robust Proxy Learning
Robust Proxy: Improving Adversarial Robustness by Robust Proxy Learning
Hong Joo Lee
Yonghyun Ro
AAML
28
3
0
27 Jun 2023
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A
  Contemporary Survey
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey
Yulong Wang
Tong Sun
Shenghong Li
Xinnan Yuan
W. Ni
E. Hossain
H. Vincent Poor
AAML
26
18
0
11 Mar 2023
On the Convergence and Robustness of Adversarial Training
On the Convergence and Robustness of Adversarial Training
Yisen Wang
Xingjun Ma
James Bailey
Jinfeng Yi
Bowen Zhou
Quanquan Gu
AAML
194
345
0
15 Dec 2021
Universal Physical Camouflage Attacks on Object Detectors
Universal Physical Camouflage Attacks on Object Detectors
Lifeng Huang
Chengying Gao
Yuyin Zhou
Cihang Xie
Alan Yuille
C. Zou
Ning Liu
AAML
140
160
0
10 Sep 2019
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
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