FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning

1 code implementation • 5 Apr 2020 • Sameer Wagh, Shruti Tople, Fabrice Benhamouda, Eyal Kushilevitz, Prateek Mittal, Tal Rabin

For private training, we are about 6x faster than SecureNN, 4. 4x faster than ABY3 and about 2-60x more communication efficient.

Towards Probabilistic Verification of Machine Unlearning

1 code implementation • 9 Mar 2020 • David Marco Sommer, Liwei Song, Sameer Wagh, Prateek Mittal

In this work, we take the first step in proposing a formal framework to study the design of such verification mechanisms for data deletion requests -- also known as machine unlearning -- in the context of systems that provide machine learning as a service (MLaaS).

backdoor defense Machine Unlearning +1