Differential Privacy for Privacy-Preserving Data Analyses
Published:
In this blogpost I introduce the concept of differential privacy and show you how it can be applied to perform privacy-preserving data analysis.
Privacy and Security in Machine Learning Blogposts
2021
Attacks against Machine Learning Privacy (Part 2): Membership Inference Attacks with TensorFlow Privacy
Published:
In the second blogpost of my series about privacy attacks against machine learning models I introduce membership inference attacks and show you how to implement them with TensorFlow Privacy.
2020
Attacks against Machine Learning Privacy (Part 1): Model Inversion Attacks with the IBM-ART Framework
Published:
In this first blogpost of my series about privacy attacks against machine learning models I introduce model inversion attacks and show you how to implement them with TensorFlow 2 and the IBM Adversarial Robustness Toolbox.