The University of Queensland 2022 Cyber Adversarial Attacks and Defences in AI systems

The goal of this project is to develop novel cyber-attacks targeting systems adopting AI techniques and effective and efficient defence techniques against the cyber-attacks. Adversarial machine learning has been proposed to study adversarial examples targeting various machine learning and deep learning algorithms applied for various systems including computer vision, smart voice recognition, Internet of things, autonomous and intelligent vehicles, etc.

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Apr 1, 2022 - 18:00
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The University of Queensland 2022 Cyber Adversarial Attacks and Defences in AI systems
The goal of this project is to develop novel cyber-attacks targeting systems adopting AI techniques and effective and efficient defence techniques against the cyber-attacks. Adversarial machine learning has been proposed to study adversarial examples targeting various machine learning and deep learning algorithms applied for various systems including computer vision, smart voice recognition, Internet of things, autonomous and intelligent vehicles, etc.
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