New Libraries for Data Protection: Open-Source Solutions Strengthen AI Privacy
Open-Source Privacy Libraries Emerge In 2025, a new wave of open-source libraries is revolutionizing AI data protection by embedding advanced privacy features directly into machine learning pipelines. Differential Privacy Becomes Standard Leading toolkits implement differential privacy algorithms, ensuring that individual user data remains untraceable even when models access large datasets for training. Federated Learning Expands […]