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Towards Adversarial Patch Analysis and Certified Defense against Crowd
  Counting

Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting

22 April 2021
Qiming Wu
Zhikang Zou
Pan Zhou
Xiaoqing Ye
Binghui Wang
Ang Li
    AAML
ArXivPDFHTML

Papers citing "Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting"

3 / 3 papers shown
Title
Rethinking Spatial Invariance of Convolutional Networks for Object
  Counting
Rethinking Spatial Invariance of Convolutional Networks for Object Counting
Zhi-Qi Cheng
Qi Dai
Hong Li
JingKuan Song
Xiao-Jun Wu
Alexander G. Hauptmann
3DPC
31
95
0
10 Jun 2022
On adversarial patches: real-world attack on ArcFace-100 face
  recognition system
On adversarial patches: real-world attack on ArcFace-100 face recognition system
Mikhail Aleksandrovich Pautov
Grigorii Melnikov
Edgar Kaziakhmedov
Klim Kireev
Aleksandr Petiushko
CVBM
PICV
AAML
30
53
0
15 Oct 2019
Adversarial Examples, Uncertainty, and Transfer Testing Robustness in
  Gaussian Process Hybrid Deep Networks
Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks
John Bradshaw
A. G. Matthews
Zoubin Ghahramani
BDL
AAML
60
171
0
08 Jul 2017
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