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Adversary Detection in Neural Networks via Persistent Homology

Adversary Detection in Neural Networks via Persistent Homology

28 November 2017
Thomas Gebhart
Paul Schrater
    AAML
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Papers citing "Adversary Detection in Neural Networks via Persistent Homology"

6 / 6 papers shown
Title
Topology of Out-of-Distribution Examples in Deep Neural Networks
Topology of Out-of-Distribution Examples in Deep Neural Networks
Esha Datta
Johanna Hennig
Eva Domschot
Connor Mattes
Michael R. Smith
72
0
0
21 Jan 2025
Diffeomorphic interpolation for efficient persistence-based topological
  optimization
Diffeomorphic interpolation for efficient persistence-based topological optimization
Mathieu Carrière
Marc Theveneau
Théo Lacombe
26
1
0
29 May 2024
An Adversarial Robustness Perspective on the Topology of Neural Networks
An Adversarial Robustness Perspective on the Topology of Neural Networks
Morgane Goibert
Thomas Ricatte
Elvis Dohmatob
AAML
16
2
0
04 Nov 2022
Topology and geometry of data manifold in deep learning
Topology and geometry of data manifold in deep learning
German Magai
A. Ayzenberg
AAML
21
11
0
19 Apr 2022
Topological Detection of Trojaned Neural Networks
Topological Detection of Trojaned Neural Networks
Songzhu Zheng
Yikai Zhang
H. Wagner
Mayank Goswami
Chao Chen
AAML
32
40
0
11 Jun 2021
Topological Uncertainty: Monitoring trained neural networks through
  persistence of activation graphs
Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs
Théo Lacombe
Yuichi Ike
Mathieu Carrière
Frédéric Chazal
Marc Glisse
Yuhei Umeda
29
20
0
07 May 2021
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