activity
20182026
most citedZero-Knowledge Proof-based Verifiable Decentralized Machine Learning in Communication Network: A Comprehensive Survey

31 citations · 41 across the 13 of their papers we have counts for

collaborators

18 papers

cs.CR2026★ 1 cited

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework

Zhaoqi Wang, Daqing He, Zijian Zhang +13

While retrieval-augmented generation systems partially address the hallucination issues in large language models, it also introduces new vulnerabilities to knowledge corruption att…

cs.CR2025

BESA: Boosting Encoder Stealing Attack with Perturbation Recovery

Xuhao Ren, Haotian Liang, Yajie Wang +3

To boost the encoder stealing attack under the perturbation-based defense that hinders the attack performance, we propose a boosting encoder stealing attack with perturbation recov…

cs.CR2024

Preventing Non-intrusive Load Monitoring Privacy Invasion: A Precise Adversarial Attack Scheme for Networked Smart Meters

Jialing He, Jiacheng Wang, Ning Wang +4

Smart grid, through networked smart meters employing the non-intrusive load monitoring (NILM) technique, can considerably discern the usage patterns of residential appliances. Howe…

cs.NI2024

Distributed Collaborative Inference System in Next-Generation Networks and Communication

Chuan Zhang, Xixi Zheng, Xiaolong Tao +3

With the rapid advancement of artificial intelligence, generative artificial intelligence (GAI) has taken a leading role in transforming data processing methods. However, the high…

cs.CR2024

Task Offloading for Vehicular Edge Computing Based on Improved Hotstuff under Parking Assistance

Guoling Liang, Chunhai Li, Feng Zhao +2

Parked-assisted vehicular edge computing (PVEC) fully leverages communication and computing resources of parking vehicles, thereby significantly alleviating the pressure on edge se…

cs.CL2024★ 1 cited

DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism

Xiaoyan Yu, Yifan Wei, Pu Li +5

Training social event detection models through federated learning (FedSED) aims to improve participants' performance on the task. However, existing federated learning paradigms are…