Deep Learning engineer and researcher with over 6 years of experience in Privacy-preserving Machine Learning and Computer Vision. I used to use Caffe, Tensorflow, Keras, ncnn and am using Pytorch for research purpose. I am now doing a Ph.D. in Vision and Machine Learning Group at Swansea University. My research interest is mainly focus on the fundamental advancement of theoretical machine learning and its applications in privacy preserving computer vision and data mining.
Data privacy has become an increasingly important issue in machine learning. Many approaches have been developed to tackle this issue ...
Citation
Ren, H., Deng, J., & Xie, X. (2022). GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning. ACM Trans. Intell. Syst. Technol., 2022
Typical machine learning approaches require centralized data for model training, which may not be possible where restrictions on data sharing are in place due to, for instance, privacy protection ...
Citation
Ren, H., Deng, J., & Xie, X. (2020). Privacy Preserving Text Recognition with Gradient-Boosting for Federated Learning. arXiv preprint arXiv:2007.07296.
The development of the Internet of Things (IoT) stimulates many research works related to Multimedia Communication Systems (MCS), such as human face detection and tracking ...
Citation
Ren, H., Hu, Y., Myint, S. H., Hou, K., Zhang, X., Zuo, M., ... & Li, H. (2021). A Real-Time and Long-Term Face Tracking Method Using Convolutional Neural Network and Optical Flow in IoT-Based Multimedia Communication Systems. Wireless Communications and Mobile Computing, 2021.
- Linus Torvalds