A5046476993- Face recognition and analysis
- Cognitive Radio Networks and Spectrum Sensing
- Network Security and Intrusion Detection
- Recommender Systems and Techniques
- Distributed and Parallel Computing Systems
- Crime, Illicit Activities, and Governance
- Blockchain Technology Applications and Security
- Network Packet Processing and Optimization
- Advanced MIMO Systems Optimization
- Adversarial Robustness in Machine Learning
- ICT Impact and Policies
- Context-Aware Activity Recognition Systems
- Real-Time Systems Scheduling
- Internet Traffic Analysis and Secure E-voting
- Generative Adversarial Networks and Image Synthesis
Wuhan University
2024-2025
Zhejiang University
2024
With the rapid development of Internet Things (IoT), IoT devices find applications in various domains. The data generated by these is utilized for analysis and services, especially field Artificial Intelligence (AI) applied to IoT, known as (AIoT). enhancement edge device computing power has led emergence research areas like edge-cloud synergy AI theories application services. In context lifelong learning real-time processes AIoT addressing unseen tasks becomes crucial. Unseen arise when...
DeFi incidents stemming from various smart contract vulnerabilities have culminated in financial damages exceeding 3 billion USD. The attacks causing such commonly commence with the deployment of adversarial contracts, subsequently leveraging these contracts to execute transactions that exploit victim contracts. Existing defense mechanisms leverage heuristic or machine learning algorithms detect transactions, but they face significant challenges detecting private transactions. Namely,...
Generative Adversarial Networks (GANs) have become predominant in mobile computing for their ability to generate data. The concern data privacy has made it arduous collect large-scale datasets GAN training on centralized servers. Federated Learning (FL) emerged as a promising solution address concerns. In this paper, we propose Oasis, multiplayer-oriented federated system. We present motivation, highlighting the Nash Equilibrium (NE) shift vanilla GANs, exacerbated by heterogeneity, leading...