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Conference: Global AppSec Dublin 2023
Authors: Rob Van der Veer
2023-02-15
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The presentation discusses the importance of treating AI systems as professional software and applying traditional software development life cycle approaches to ensure security and privacy. It provides 10 commandments for AI security and privacy, covering AI life cycle, model attacks, and protection.
- AI systems should be treated as professional software and maintained using traditional software development life cycle approaches
- 10 commandments for AI security and privacy include involving AI applications and data scientists in existing software security programs, documenting experimentation, implementing unit testing, and protecting source data and development
- Model attacks can be carried out through data poisoning, adversarial examples, and model inversion, and can be prevented through techniques such as data sanitization and model robustness
- Protection measures for AI systems include secure storage and access control for source data, encryption, and versioning