Online Seminar: Asst.Prof. Nana Liu, SJTU, PR China

Protecting and leveraging quantum machine learning algorithms on a future quantum internet

computer code being pulled from the screen to depict computer hacking

Image: Pete Linforth / Pixabay

Introducing Adversarial Quantum Learning: Security and machine learning on the quantum internet

SPEAKER: Assistant Professor Nana Liu

AFFILIATION: Shanghai Jiao Tong University, PR China

HOSTED BY: A/Prof Chris Ferrie, UTS Centre for Quantum Software and Information

TITLE / ABSTRACT: 
In the classical world, there is a powerful interplay between security and machine learning deployed in a network, like on the modern internet. What happens when the learning algorithms and the network itself can be quantum? What are the new problems that can arise and can quantum resources offer advantages to their classical counterparts?

We explore these questions in a new area called adversarial quantum learning, that combines the area of adversarial machine learning, which investigates security questions in machine learning, and quantum information.

For the first part of the talk, I’ll introduce adversarial machine learning and some exciting potential prospects for contributions from quantum information and computation. For the second part of the talk, I’ll present two new works on adversarial quantum learning. Here we are able to quantify the vulnerability of quantum algorithms for classification against adversaries and learn how to leverage quantum noise to improve its robustness against attacks.  

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