Episode 10: how to up-skill in AI security

In this episode Tania and I chat through how we learnt about AI security and adversarial machine learning, and how you can too! 

Some resources we mention:
- Crash Course AI https://thecrashcourse.com/topic/ai/
- 3 Blue 1 Brown https://www.youtube.com/c/3blue1brown
- Kaggle https://www.kaggle.com/learn/intro-to-machine-learning
- Hands-on ML textbook (more for 'classic' machine learning - still really important to understand 'modern' models) https://www.booktopia.com.au/hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow-3e-aurelien-geron/book/9781098125974.html?gad_source=1&gclid=CjwKCAiA9dGqBhAqEiwAmRpTC3W7SbJJOrI8fEi-19OxvyNLElA8Nk7iKH6nE4KDm1iLlySKgb114hoCcG8QAvD_BwE
- The paper that started it all (or at least a lot of it) https://arxiv.org/abs/1312.6199
- Adversarial Robustness Toolbox https://adversarial-robustness-toolbox.org/
- Cleverhans https://cleverhans-lab.github.io/
- Darknet diaries (please someone introduce me to Jack) https://darknetdiaries.com/
- Rob Miles https://www.youtube.com/@RobertMilesAI
- Import AI https://jack-clark.net/
- AI Daily Brief https://www.youtube.com/channel/UCKelCK4ZaO6HeEI1KQjqzWA
- Less Wrong https://www.lesswrong.com/
- Unsupervised learning https://danielmiessler.com/
- OWASP ML Top 10: https://owasp.org/www-project-machine-learning-security-top-10/
- ML Safety https://course.mlsafety.org/about
- Anatomy of an AI system: https://anatomyof.ai/