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Adversarial Framework with Certified Robustness for Time-Series Domain
  via Statistical Features

Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features

9 July 2022
Taha Belkhouja
J. Doppa
    AAML
    AI4TS
ArXivPDFHTML

Papers citing "Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features"

5 / 5 papers shown
Title
Dynamic Time Warping based Adversarial Framework for Time-Series Domain
Dynamic Time Warping based Adversarial Framework for Time-Series Domain
Taha Belkhouja
Yan Yan
J. Doppa
AAML
AI4TS
24
25
0
09 Jul 2022
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and
  Theoretical Analysis
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis
Taha Belkhouja
Yan Yan
J. Doppa
OOD
AI4TS
27
9
0
09 Jul 2022
Distributed and parallel time series feature extraction for industrial
  big data applications
Distributed and parallel time series feature extraction for industrial big data applications
Maximilian Christ
A. Kempa-Liehr
M. Feindt
AI4TS
58
271
0
25 Oct 2016
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
Marta Kwiatkowska
Sen Wang
Min Wu
AAML
180
932
0
21 Oct 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
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