5 papers
PCDM: A Diffusion-Based Data Poisoning Attack Against Federated Learning Systems
Wei Sun, Yijun Chen, Bo Gao +4
Federated learning (FL) is vulnerable to data poisoning attacks due to its distributed nature. Although recent GAN-based data poisoning methods have indicated the potential of usin…
PPO-Based Hybrid Optimization for RIS-Assisted Semantic Vehicular Edge Computing
Wei Feng, Jingbo Zhang, Qiong Wu +2
To support latency-sensitive Internet of Vehicles (IoV) applications amidst dynamic environments and intermittent links, this paper proposes a Reconfigurable Intelligent Surface (R…
Optimizing Age of Information in Internet of Vehicles Over Error-Prone Channels
Cui Zhang, Maoxin Ji, Qiong Wu +2
In the Internet of Vehicles (IoV), Age of Information (AoI) has become a vital performance metric for evaluating the freshness of information in communication systems. Although man…
Multi-answer Constrained Optimal Querying: Maximum Information Gain Coding
Zhefan Li, Pingyi Fan
As the rapidly developments of artificial intelligence and machine learning, behavior tree design in multiagent system or AI game become more important. The behavior tree design pr…
A Model Consistency-Based Countermeasure to GAN-Based Data Poisoning Attack in Federated Learning
Wei Sun, Bo Gao, Ke Xiong +3
In federated learning (FL), although the original intention of available but not visible data is to allay data privacy concerns, it potentially brings new security threats, particu…