Florian Tramer, Gautam Kamath, and Nicholas Carlini won an award for their paper on differentially private learning with large-scale public pretraining. In this interview,…
Browsing: Differential Privacy
Artificial Intelligence (AI) is being used in a variety of real-life applications, such as autonomous cars, drones, chat-bots, and smart speakers. Reinforcement Learning (RL)…
IBM has a long history with AI and has not been sitting still. Its generative AI solution is called Watsonx. IBM’s AI Fundamentals program…
This article discusses the use of differential privacy in image recognition and how the existing methods for differentially private deep learning need to be…
Federated learning is a distributed learning framework that enables multi-institutional collaborations on decentralized data with improved protection for each collaborator’s data privacy. This paper…