Title
Reconstructing Network Inputs with Additive Perturbation Signatures.
Abstract
In this work, we present preliminary results demonstrating the ability to recover a significant amount of information about secret model inputs given only very limited access to model outputs and the ability evaluate the model on additive perturbations to the input.
Year
Venue
DocType
2019
arXiv: Computer Vision and Pattern Recognition
Journal
Volume
Citations 
PageRank 
abs/1904.05712
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Nick Moran1113.72
Chiraag Juvekar2607.45