Browse > Methodology > Privacy Preserving Deep Learning

Privacy Preserving Deep Learning

2 papers with code ยท Methodology

Leaderboards

No evaluation results yet. Help compare methods by submit evaluation metrics.

Latest papers without code

Privacy-Preserving Deep Learning Computation for Geo-Distributed Medical Big-Data Platforms

9 Jan 2020

This paper proposes a distributed deep learning framework for privacy-preserving medical data training.

PRIVACY PRESERVING DEEP LEARNING

Preventing Information Leakage with Neural Architecture Search

18 Dec 2019

Powered by machine learning services in the cloud, numerous learning-driven mobile applications are gaining popularity in the market.

NEURAL ARCHITECTURE SEARCH PRIVACY PRESERVING DEEP LEARNING

A Novel Privacy-Preserving Deep Learning Scheme without Using Cryptography Component

21 Aug 2019

In this paper, we propose a novel privacy-preserving deep learning model and a secure training/inference scheme to protect the input, the output, and the model in the application of the neural network.

PRIVACY PRESERVING DEEP LEARNING

Private Deep Learning with Teacher Ensembles

5 Jun 2019

Privacy-preserving deep learning is crucial for deploying deep neural network based solutions, especially when the model works on data that contains sensitive information.

PRIVACY PRESERVING DEEP LEARNING

Towards Fair and Decentralized Privacy-Preserving Deep Learning

4 Jun 2019

This problem can be addressed by either a centralized framework that deploys a central server to train a global model on the joint data from all parties, or a distributed framework that leverages a parameter server to aggregate local model updates.

PRIVACY PRESERVING DEEP LEARNING

Distributed Layer-Partitioned Training for Privacy-Preserved Deep Learning

12 Apr 2019

Deep Learning techniques have achieved remarkable results in many domains.

PRIVACY PRESERVING DEEP LEARNING

Disguised-Nets: Image Disguising for Privacy-preserving Outsourced Deep Learning

5 Feb 2019

We develop an image disguising approach to address these attacks and design a suite of methods to evaluate the levels of attack resilience for a privacy-preserving solution for outsourced deep learning.

IMAGE CLASSIFICATION PRIVACY PRESERVING DEEP LEARNING

Privacy-Preserving Deep Learning via Weight Transmission

10 Sep 2018

This paper considers the scenario that multiple data owners wish to apply a machine learning method over the combined dataset of all owners to obtain the best possible learning output but do not want to share the local datasets owing to privacy concerns.

PRIVACY PRESERVING DEEP LEARNING