Securing Machine Learning
The discussion delves into the evolving nature of secure patterns in software development and the vulnerabilities of machine learning models. Insights reveal that while these models can enhance security, they are not immune to hacking. The conversation highlights the importance of implementing safeguards and the need for forward-thinking strategies to protect against potential threats.In this clip
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Software Engineering Radio - the podcast for professional software developers
Episode 438: Andy Powell on Lessons Learned from a Major Cyber Attack
Related Questions
Can you give examples of adversarial attacks on machine learning models as discussed in the episode Episode 395: Katharine Jarmul on Security and Privacy in Machine Learning and the clip Adversarial Attacks Explained?
What are adversarial attacks on machine learning models in the context of the episode Robustness, Detectability, and Data Privacy in AI // Vinu Sankar Sadasivan // #289 and the clip AI Defense Mechanisms?