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Feedback-Control Based Adversarial Attacks on Recurrent Neural Networks
Shankar A. Deka
,
Dusan M. Stipanovic
, Claire J. Tomlin
Industrial and Enterprise Systems Engineering
Information Trust Institute
Mechanical Science and Engineering
Coordinated Science Lab
European Union Center
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Dive into the research topics of 'Feedback-Control Based Adversarial Attacks on Recurrent Neural Networks'. Together they form a unique fingerprint.
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Keyphrases
Adversarial Attack
100%
Adversarial Input
66%
Control Theory
33%
Dynamical Systems Theory
33%
Feedback Control
100%
Illustrative Examples
33%
Input Disturbance
33%
Learning Communities
33%
Machine Learning
33%
Neural Network
33%
Neural Network Performance
33%
Real-time Attack
33%
Recurrent Architecture
33%
Recurrent Neural Network
100%
Robustification
33%
Computer Science
Adversarial Machine Learning
100%
Control Theory
33%
Dynamical System
33%
Feedback Control
100%
Learning Community
33%
Learning System
33%
Machine Learning
33%
Network Performance
33%
Neural Network
66%
Recurrent Neural Network
100%
Chemical Engineering
Learning System
33%
Neural Network
66%
Recurrent Neural Network
100%
System Theory
33%