OWASP ML Security Top 10

Published: 01 January 1970
on channel: DevSecCon
323
14

In this comprehensive session, Nagarjun delves into the OWASP Top 10 for Machine Learning Security, offering a detailed exploration of the key security challenges and best practices specific to the field of machine learning. You will gain practical insights into the latest OWASP document, which serves as a critical guide for securing machine learning models and systems.

Highlights of the event include:
• An in-depth overview of each of the top ten vulnerabilities in machine learning
• Real-world examples and case studies illustrating how these vulnerabilities can manifest
• Actionable recommendations on how to mitigate these risks
• Strategies to ensure robust and secure ML deployments

Whether you are a developer, data scientist, or security professional, this walkthrough will equip you with the knowledge to enhance the security posture of your machine learning projects.


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