Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems

23 May 2017Jure SokolicQiang QiuMiguel R. D. RodriguesGuillermo Sapiro

Security, privacy, and fairness have become critical in the era of data science and machine learning. More and more we see that achieving universally secure, private, and fair systems is practically impossible... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Tasks


Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper