ML Security: Why should you care? // Sahbi Chaieb // MLOps Coffee Sessions #51

Coffee Sessions #51 with Sahbi Chaieb, ML security: Why should you care? //Abstract Sahbi, a senior data scientist at SAS, joined us to discuss the various security challenges in MLOps. We went deep into the research he found describing various threats as part of a recent paper he wrote. We also discussed tooling options for this problem that is emerging from companies like Microsoft and Google. // Bio Sahbi Chaieb is a Senior Data Scientist at SAS, he has been working on designing, implementing, and deploying Machine Learning solutions in various industries for the past 5 years. Sahbi graduated with an Engineering degree from Supélec, France, and holds an MS in Computer Science specialized in Machine Learning from Georgia Tech. --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Vishnu on LinkedIn: https://www.linkedin.com/in/vrachakonda/ Connect with Sahbi on LinkedIn: https://www.linkedin.com/in/sahbichaieb/ Timestamps: [00:00] Introduction to Sahbi Chaieb [01:25] Sahbi's background in tech [02:57] Inspiration of the article [09:40] Why should you care about keeping our model secure? [12:53] Model stealing [14:16] Development practices [17:24] Other tools in the toolbox covered in the article [21:29] Stories/occurrences where data was leaked [24:45] EU Regulations on robustness [26:49] Dangers of federated learning [31:50] Tooling status on model security [33:58] AI Red Teams [36:42] ML Security best practices [38:26] AI + Cyber Security [39:26] Synthetic Data [42:51] Prescription on ML Security in 5-10 years [46:37] Pain points encountered