ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1902.00577
  4. Cited By
Robustness of Generalized Learning Vector Quantization Models against
  Adversarial Attacks

Robustness of Generalized Learning Vector Quantization Models against Adversarial Attacks

1 February 2019
S. Saralajew
Lars Holdijk
Maike Rees
T. Villmann
    OOD
ArXivPDFHTML

Papers citing "Robustness of Generalized Learning Vector Quantization Models against Adversarial Attacks"

5 / 5 papers shown
Title
Annealing Optimization for Progressive Learning with Stochastic
  Approximation
Annealing Optimization for Progressive Learning with Stochastic Approximation
Christos N. Mavridis
John S. Baras
28
10
0
06 Sep 2022
Towards the One Learning Algorithm Hypothesis: A System-theoretic
  Approach
Towards the One Learning Algorithm Hypothesis: A System-theoretic Approach
Christos N. Mavridis
John S. Baras
26
1
0
04 Dec 2021
Online Deterministic Annealing for Classification and Clustering
Online Deterministic Annealing for Classification and Clustering
Christos N. Mavridis
John S. Baras
ODL
27
17
0
11 Feb 2021
Disentangling Adversarial Robustness and Generalization
Disentangling Adversarial Robustness and Generalization
David Stutz
Matthias Hein
Bernt Schiele
AAML
OOD
194
277
0
03 Dec 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
326
5,849
0
08 Jul 2016
1