activity
20172026
most citedComprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning

1.6k citations · 2.2k across the 52 of their papers we have counts for

collaborators
Showing 2020Show all

2 papers · 1 filter

cs.LG2020★ 22 cited

Improving Deep Learning with Differential Privacy using Gradient Encoding and Denoising

Milad Nasr, Reza Shokri, Amir houmansadr

Deep learning models leak significant amounts of information about their training datasets. Previous work has investigated training models with differential privacy (DP) guarantees…

cs.CR2020★ 5 cited

Blind Adversarial Network Perturbations

Milad Nasr, Alireza Bahramali, Amir Houmansadr

Deep Neural Networks (DNNs) are commonly used for various traffic analysis problems, such as website fingerprinting and flow correlation, as they outperform traditional (e.g., stat…