3 papers
cs.CR2025
Privacy-Preserving Federated Learning Scheme with Mitigating Model Poisoning Attacks: Vulnerabilities and Countermeasures
Jiahui Wu, Fucai Luo, Tiecheng Sun +2
The privacy-preserving federated learning schemes based on the setting of two honest-but-curious and non-colluding servers offer promising solutions in terms of security and effici…
cs.CR2025
Secure Multi-Key Homomorphic Encryption with Application to Privacy-Preserving Federated Learning
Jiahui Wu, Tiecheng Sun, Fucai Luo +2
Multi-Key Homomorphic Encryption (MKHE), proposed by Lopez-Alt et al. (STOC 2012), allows for performing arithmetic computations directly on ciphertexts encrypted under distinct ke…
cs.RO2023
HI-SLAM: Monocular Real-time Dense Mapping with Hybrid Implicit Fields
Wei Zhang, Tiecheng Sun, Sen Wang +2
In this letter, we present a neural field-based real-time monocular mapping framework for accurate and dense Simultaneous Localization and Mapping (SLAM). Recent neural mapping fra…