Developer Webinar Series - Create adversarial attack resistance in your machine learning workflows

Security vulnerabilities in your ML workflows are often overlooked by cybersecurity personnel due to their indirect ability to makes changes within your broader system/decision processes. As attacks become more sophisticated, the ability to manipulate machine learning outputs to influence and drive decisions that benefit the attacker will become more common - and the ability to prevent them will start in your machine learning environment. Join Eliiza as they discuss the ways AWS can support the prevention of such adversarial attacks.

Speaker: Brendan Nicholls, Practice Lead - Machine Learning Engineering. To stay connected, please join Eliiza at the monthly Melbourne MLOps Community Meetup or contact Brendan on LinkedIn.