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Deep Neural Network Ensembles against Deception: Ensemble Diversity,
  Accuracy and Robustness

Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness

29 August 2019
Ling Liu
Wenqi Wei
Ka-Ho Chow
Margaret Loper
Emre Gursoy
Stacey Truex
Yanzhao Wu
    UQCV
    AAML
    FedML
ArXivPDFHTML

Papers citing "Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness"

7 / 7 papers shown
Title
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance
Wenqi Wei
Ling Liu
31
16
0
02 Feb 2024
Probing Contextual Diversity for Dense Out-of-Distribution Detection
Probing Contextual Diversity for Dense Out-of-Distribution Detection
Silvio Galesso
M. A. Bravo
Mehdi Naouar
Thomas Brox
21
4
0
30 Aug 2022
Social-Implicit: Rethinking Trajectory Prediction Evaluation and The
  Effectiveness of Implicit Maximum Likelihood Estimation
Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation
Abduallah A. Mohamed
Deyao Zhu
Warren Vu
Mohamed Elhoseiny
Christian G. Claudel
34
53
0
06 Mar 2022
No One Representation to Rule Them All: Overlapping Features of Training
  Methods
No One Representation to Rule Them All: Overlapping Features of Training Methods
Raphael Gontijo-Lopes
Yann N. Dauphin
E. D. Cubuk
34
60
0
20 Oct 2021
Temperature as Uncertainty in Contrastive Learning
Temperature as Uncertainty in Contrastive Learning
Oliver Zhang
Mike Wu
Jasmine Bayrooti
Noah D. Goodman
UQCV
22
30
0
08 Oct 2021
Promoting High Diversity Ensemble Learning with EnsembleBench
Promoting High Diversity Ensemble Learning with EnsembleBench
Yanzhao Wu
Ling Liu
Zhongwei Xie
Juhyun Bae
Ka-Ho Chow
Wenqi Wei
27
11
0
20 Oct 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
317
5,847
0
08 Jul 2016
1