Adv qml demo

[mwendlinger]

Title: Adversarial Attacks on Quantum Machine Learning

Summary: Tutorial on attacks and defenses in Quantum machine learning with hands-on example.

Relevant references: 'A comparative analysis of adversarial robustness for quantum and classical machine learning' by M.Wendlinger, K.Tscharke, P.Debus

Possible Drawbacks:

Related GitHub Issues:

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If you are writing a demonstration, please answer these questions to facilitate the marketing process.

• GOALS — Why are we working on this now?

Show a PL implementation of a recent paper, introduce emerging topic of quantum adversarial machine learning

• AUDIENCE — Who is this for?

Everyone interested in Quantum machine learning, especially those with focus on security

• KEYWORDS — What words should be included in the marketing post?

Quantum machine learning, adversarial attacks, QAML, ..

• Which of the following types of documentation is most similar to your file? (more details here)

• [ ] Tutorial
• [x] Demo
• [ ] How-to

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