FedEdge AI-TC: A Semi-supervised Traffic Classification Method based on Trusted Federated Deep Learning for Mobile Edge Computing

no code implementations • 14 Aug 2023 • Pan Wang, Zeyi Li, Mengyi Fu, Zixuan Wang, Ze Zhang, MinYao Liu

The framework enhances user privacy and model credibility, offering a comprehensive solution for dependable and transparent Network TC in 5G CPE, thus enhancing service quality and security.

Edge-computing Federated Learning +2

TextShield: Beyond Successfully Detecting Adversarial Sentences in Text Classification

no code implementations • 3 Feb 2023 • Lingfeng Shen, Ze Zhang, Haiyun Jiang, Ying Chen

A recent line of work, detection-based defense, aims to distinguish adversarial sentences from benign ones.

Adversarial Attack Sentence +2

Group frame neural network of moving object ghost imaging combined with frame merging algorithm

no code implementations • 1 Sep 2022 • Da Chen, Shan-Guo Feng, Hua-Hua Wang, Jia-Ning Cao, Zhi-Wei Zhang, Zhi-Xin Yang, Ao Yan, Lu Gao, Ze Zhang

The nature of multiple samples to extract correlation information limits the applications of ghost imaging of moving objects.

Towards High Fidelity Face Relighting with Realistic Shadows

1 code implementation • CVPR 2021 • Andrew Hou, Ze Zhang, Michel Sarkis, Ning Bi, Yiying Tong, Xiaoming Liu

Furthermore, we introduce a method to use the shadow mask to estimate the ambient light intensity in an image, and are thus able to leverage multiple datasets during training with different global lighting intensities.

Vocal Bursts Intensity Prediction