Adversarial Machine Learning: What is it?

Machine learning advancements have grown rapidly in the last few years. However, machine learning is heavily dependent on data, as machine learning models are trained on vast datasets that are then used to provide insight or draw conclusions. This reliance on data means that machine learning can be subverted by an adversary who is able to manipulate even just a small portion of the data. This talk will provide an overview of what adversarial machine learning is and details on some categories of vulnerabilities. Additionally, this talk will provide a list of things to think about when using or developing machine learning models. WiCyS is proud to provide members the opportunity to earn CPE/CEU credits for attending WiCyS Webinars live. To earn CPE/CEU credits with the following providers, you must meet the minimum requirements: - GIAC/(ISC)2: attend for a minimum of 45 minutes or the entirety of the webinar - CompTIA: attend for a minimum of 60 minutes or the entirety of the webinar (webinar topic must relate to the certificate being renewed) Attendees who meet the requirements can log into BrightTALK to print out their attendance certificates to submit for CPE/CEU credits.