RaftFed: A Lightweight Federated Learning Framework for Vehicular Crowd Intelligence

no code implementations • 11 Oct 2023 • Changan Yang, Yaxing Chen, Yao Zhang, Helei Cui, Zhiwen Yu, Bin Guo, Zheng Yan, Zijiang Yang

Although federated learning (FL) is a promising tool to solve the problem, adapting conventional FL frameworks to VCI is nontrivial.

Federated Learning Privacy Preserving

Beyond the Model: Data Pre-processing Attack to Deep Learning Models in Android Apps

no code implementations • 6 May 2023 • Ye Sang, Yujin Huang, Shuo Huang, Helei Cui

In particular, our attack could influence the performance and latency of the model without affecting the operation of a DL app.

Data Poisoning

Energy-Latency Attacks to On-Device Neural Networks via Sponge Poisoning

no code implementations • 6 May 2023 • Zijian Wang, Shuo Huang, Yujin Huang, Helei Cui

In recent years, on-device deep learning has gained attention as a means of developing affordable deep learning applications for mobile devices.