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ARAE: Adversarially Robust Training of Autoencoders Improves Novelty
  Detection

ARAE: Adversarially Robust Training of Autoencoders Improves Novelty Detection

12 March 2020
Mohammadreza Salehi
Atrin Arya
Barbod Pajoum
Mohammad Otoofi
Amirreza Shaeiri
M. Rohban
Hamid R. Rabiee
    AAML
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Papers citing "ARAE: Adversarially Robust Training of Autoencoders Improves Novelty Detection"

2 / 2 papers shown
Title
Managing the unknown: a survey on Open Set Recognition and tangential
  areas
Managing the unknown: a survey on Open Set Recognition and tangential areas
Marcos Barcina-Blanco
J. Lobo
Pablo Garcia-Bringas
Javier Del Ser
VLM
8
2
0
14 Dec 2023
GRAM: An Interpretable Approach for Graph Anomaly Detection using
  Gradient Attention Maps
GRAM: An Interpretable Approach for Graph Anomaly Detection using Gradient Attention Maps
Yifei Yang
Peng Wang
Xiaofan He
Dongmian Zou
11
5
0
10 Nov 2023
1