Predictive Analytics & Risk Modeling: For Insurance and Actuarial Science
Chapter 2: Applications in Cybersecurity and Data Privacy
Full edition
Securing predictive models, defending against AI-based threats, and data de-identification under GDPR and CCPA.
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Free companion material for this chapter:
Sources and further reading
- NIST AI Risk Management Framework
- OWASP Machine Learning Security Top 10 (GitHub project)
- Carlini et al. (2020), Extracting Training Data from Large Language Models
- Goodfellow et al. (2014), Explaining and Harnessing Adversarial Examples
- Tramèr et al. (2016), Stealing Machine Learning Models via Prediction APIs
- Sweeney, Simple Demographics Often Identify People Uniquely (Data Privacy Lab)
- California Consumer Privacy Act (CA Attorney General)
More from the author: predictiveinsightsai.com