1 citations · 2 across the 5 of their papers we have counts for
5 papers
MeCo: Enhancing LLM-Empowered Multi-Robot Collaboration via Similar Task Memoization
Baiqing Wang, Helei Cui, Bo Zhang +3
Multi-robot systems have been widely deployed in real-world applications, providing significant improvements in efficiency and reductions in labor costs. However, most existing mul…
DeFiGuard: A Price Manipulation Detection Service in DeFi using Graph Neural Networks
Dabao Wang, Bang Wu, Xingliang Yuan +3
The prosperity of Decentralized Finance (DeFi) unveils underlying risks, with reported losses surpassing 3.2 billion USD between 2018 and 2022 due to vulnerabilities in Decentraliz…
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…
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…
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…