3 papers
cs.LG2025
A Split-Window Transformer for Multi-Model Sequence Spammer Detection using Multi-Model Variational Autoencoder
Zhou Yang, Yucai Pang, Hongbo Yin +1
This paper introduces a new Transformer, called MSDformer, that can be used as a generalized backbone for multi-modal sequence spammer detection. Spammer detection is a complex…
cs.LG2024
Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems
Zhen Cai, Tao Tang, Shuo Yu +2
Federated recommender systems have been crucially enhanced through data sharing and continuous model updates, attributed to the pervasive connectivity and distributed computing cap…
cs.LG2024
Dual Model Replacement:invisible Multi-target Backdoor Attack based on Federal Learning
Rong Wang, Guichen Zhou, Mingjun Gao +1
In recent years, the neural network backdoor hidden in the parameters of the federated learning model has been proved to have great security risks. Considering the characteristics…