J Zhao, Y Chen, W Zhang - IEEE Access, 2019 - ieeexplore.ieee.org
Nowadays, deep learning has been increasingly applied in real-world scenarios involving the collection and analysis of sensitive data, which often causes privacy leakage. Differential …
M Gong, Y Xie, K Pan, K Feng… - IEEE computational …, 2020 - ieeexplore.ieee.org
Recent years have witnessed remarkable successes of machine learning in various applications. However, machine learning models suffer from a potential risk of leaking …
M Gong, K Pan, Y Xie, AK Qin, Z Tang - Neural Networks, 2020 - Elsevier
In recent years, deep learning achieves remarkable results in the field of artificial intelligence. However, the training process of deep neural networks may cause the leakage …
M Nasr, R Shokri - arXiv preprint arXiv:2007.11524, 2020 - arxiv.org
Deep learning models leak significant amounts of information about their training datasets. Previous work has investigated training models with differential privacy (DP) guarantees …
T Ha, TK Dang, TT Dang, TA Truong… - 2019 International …, 2019 - ieeexplore.ieee.org
Nowadays, deep learning has many applications in our daily life such as self-driving, product recommendation, advertisements and healthcare. In the training phase, deep …
Deployment of deep learning in different fields and industries is growing day by day due to its performance, which relies on the availability of data and compute. Data is often crowd …
The unprecedented success of deep learning is largely dependent on the availability of massive amount of training data. In many cases, these data are crowd-sourced and may …
N Wu, F Farokhi, D Smith… - 2020 IEEE Symposium on …, 2020 - ieeexplore.ieee.org
In this paper, we apply machine learning to distributed private data owned by multiple data owners, entities with access to non-overlapping training datasets. We use noisy …
T Ryffel, A Trask, M Dahl, B Wagner, J Mancuso… - arXiv preprint arXiv …, 2018 - arxiv.org
We detail a new framework for privacy preserving deep learning and discuss its assets. The framework puts a premium on ownership and secure processing of data and introduces a …