Deep Learning with Differential Privacy

Explore a conference talk from CCS 2016 that delves into the intersection of deep learning and differential privacy. Learn from a team of experts including Martin Abadi, Andy Chu, Ian Goodfellow, H. Brendan McMahan, Ilya Mironov, Kunal Talwar, and Li Zhang as they present their research at the 23rd ACM Conference on Computer and Communications Security. Discover how differential privacy techniques can be applied to deep learning models to enhance data protection and privacy. Gain insights into the challenges and solutions for maintaining privacy in machine learning applications. Understand the implications of this research for the future of secure and privacy-preserving artificial intelligence.