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Enhancing Adversarial Robustness for Deep Metric Learning

Enhancing Adversarial Robustness for Deep Metric Learning

2 March 2022
Mo Zhou
Vishal M. Patel
    AAML
ArXivPDFHTML

Papers citing "Enhancing Adversarial Robustness for Deep Metric Learning"

5 / 5 papers shown
Title
Randomized Pairwise Learning with Adaptive Sampling: A PAC-Bayes Analysis
Randomized Pairwise Learning with Adaptive Sampling: A PAC-Bayes Analysis
Sijia Zhou
Yunwen Lei
Ata Kabán
29
0
0
03 Apr 2025
Collapse-Aware Triplet Decoupling for Adversarially Robust Image
  Retrieval
Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval
Qiwei Tian
Chenhao Lin
Zhengyu Zhao
Qian Li
Chao Shen
10
2
0
12 Dec 2023
Exploring Architectural Ingredients of Adversarially Robust Deep Neural
  Networks
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
Hanxun Huang
Yisen Wang
S. Erfani
Quanquan Gu
James Bailey
Xingjun Ma
AAML
TPM
44
100
0
07 Oct 2021
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp
  Adversarial Attacks
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks
Wei-An Lin
Chun Pong Lau
Alexander Levine
Ramalingam Chellappa
S. Feizi
AAML
74
60
0
05 Sep 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
250
5,813
0
08 Jul 2016
1