Privacy-Preserving Machine Learning with Gharib Gharibi

Gharib presents a brief introduction to privacy-preserving machine learning with a focus on membership inference. Gharib is an IPhD candidate at the University of Missouri-Kansas City and he currently works as an Applied Scientist at TripleBlind--a startup promoting privacy-preserving methods and tools as a service. This presentation was a part of our Virtual Deep Learning Salon, to sign up for updates on these join our meetup and slack community! http://wandb.me/meetups http://wandb.me/fs 👩🏼‍🚀Weights and Biases: Record and visualize every detail of your research, collaborate easily, advance the state of the art - we’re always free for academics and open source projects. Email [email protected] with any questions or feature suggestions. Blog: https://www.wandb.com/articles Gallery: See what you can create with W&B -https://app.wandb.ai/gallery Continue the conversation on our slack community - http://wandb.me/fs