3

SoK: Let The Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning
An SoK that presents a game-based framework to systematize the body of knowledge on privacy inference risks in machine learning.
Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella-Béguelin
PDF Cite
Subject Membership Inference Attacks in Federated Learning
We propose a notion of neuron sensitivity in terms of adversarial robustness, along with an attack that works as well as PGD. The notion can be extended as a regularization term, providing adversarial robustness without adversarial training.
Anshuman Suri, Pallika Kanani, Virendra J. Marathe, Daniel W. Peterson
PDF
One Neuron to Fool Them All
We propose a notion of neuron sensitivity in terms of adversarial robustness, along with an attack that works as well as PGD. The notion can be extended as a regularization term, providing adversarial robustness without adversarial training.
Anshuman Suri, David Evans
PDF Cite Code