Search Results for author:
Found 2 papers, 0 papers with code
Inference Attacks in Machine Learning as a Service: A Taxonomy, Review, and Promising Directions
The prosperity of machine learning has also brought people's concerns about data privacy.
Detecting Adversarial Examples by Additional Evidence from Noise Domain
In this paper, we utilize the steganalysis rich model (SRM) to generate noise feature maps, and combine them with RGB images to discover the difference between adversarial examples and clean examples.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
