Machine Learning Operations in Human-Machine Interface

The challenge

The purpose of this research project is to address the socio-technical cybersecurity risks of operationalising machine learning models. Our objectives are:

(i) to understand the cognitive processes and user behaviours that impact on the security of machine learning operation (MLOps); (ii) to model these processes and behaviours so that we can securely deliver human-machine teaming in MLOps; (iii) o understand how to defend MLOps against subversion as well as how to attack the MLOps of adversaries.

Our response

This project aims to address the socio-technical cybersecurity risks of operationalising machine learning models. It will generate new knowledge in the areas of computer security and human-computer interaction by using a transdisciplinary research approach that brings together social and behavioural science, computer science, and data science. The outputs from the research will be models of the behavioural risks to machine learning operations; a tool for facilitating experiments to manage the risks of human-machine teaming and novel algorithms that can be used to both defend and attack machine learning operations. The benefits arising from the research with be increased trust in the operationalisation of machine learning models.

The goal

This project contributes to building a cybersecurity research capability between social and behavioural science, data science and computer science; forges a new research partnership between team members and their research institutions; aims to make a significant internationally recognised Australian-based contribution to cybersecurity, machine learning, data science and transdisciplinary research; increases the capability of the national intelligence and security community by developing new practical methods for ensuring the cybersecurity of MLOps; facilitates advances in MLOps that would be of benefit across the intelligence community; aims to enable the national intelligence and security community to participate in the research and to co-design solutions.

Connect and collaborate

We are looking for researchers, students, funding and partners to help take our research to the next level.