Warning Signs: The Future of Privacy and Security in the Age of Machine Learning
Originally released in partnership with The Future of Privacy Forum (FPF), this paper:
- Presents a layered approach to data protection in machine learning that includes advanced techniques for end-to-end security
- Builds on the analysis in Beyond Explainability: A Practical Guide to Managing Risk in Machine Learning Models, released by FPF and Immuta
- Provides actionable next steps for organizations looking to future-proof data security and privacy frameworks
Co-authors of the paper include:
- Andrew Burt, Immuta Chief Privacy Officer and Legal Engineer
- Sophie Stalla-Bourdillion, Immuta Senior Privacy Counsel and Legal Engineer
- Patrick Hall, H2O.ai Senior Director for Data Science Products
