1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2023
RaftFed: A Lightweight Federated Learning Framework for Vehicular Crowd Intelligence
Changan Yang, Yaxing Chen, Yao Zhang +5
Vehicular crowd intelligence (VCI) is an emerging research field. Facilitated by state-of-the-art vehicular ad-hoc networks and artificial intelligence, various VCI applications co…
cs.CR2023
Beyond the Model: Data Pre-processing Attack to Deep Learning Models in Android Apps
Ye Sang, Yujin Huang, Shuo Huang +1
The increasing popularity of deep learning (DL) models and the advantages of computing, including low latency and bandwidth savings on smartphones, have led to the emergence of int…
cs.CR2023★ 1 cited
Energy-Latency Attacks to On-Device Neural Networks via Sponge Poisoning
Zijian Wang, Shuo Huang, Yujin Huang +1
In recent years, on-device deep learning has gained attention as a means of developing affordable deep learning applications for mobile devices. However, on-device models are const…