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Towards exploring adversarial learning for anomaly detection in complex
  driving scenes

Towards exploring adversarial learning for anomaly detection in complex driving scenes

17 June 2023
Nouran Habib
Yunsu Cho
Abhishek Buragohain
Andreas Rausch
    AAML
ArXiv (abs)PDFHTML

Papers citing "Towards exploring adversarial learning for anomaly detection in complex driving scenes"

3 / 3 papers shown
Title
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Peter Lorenz
Mario Fernandez
Jens Müller
Ullrich Kothe
AAML
141
1
0
21 Jun 2024
Autoencoder-based Semantic Novelty Detection: Towards Dependable
  AI-based Systems
Autoencoder-based Semantic Novelty Detection: Towards Dependable AI-based Systems
Andreas Rausch
Azarmidokht Motamedi Sedeh
Meng Zhang
27
9
0
24 Aug 2021
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
483
9,052
0
10 Jun 2016
1