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

31 citations · 49 across the 18 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…

cs.CV2024

Multi-Expert Adaptive Selection: Task-Balancing for All-in-One Image Restoration

Xiaoyan Yu, Shen Zhou, Huafeng Li +1

The use of a single image restoration framework to achieve multi-task image restoration has garnered significant attention from researchers. However, several practical challenges r…

cs.CV2024

CLIP-Driven Semantic Discovery Network for Visible-Infrared Person Re-Identification

Xiaoyan Yu, Neng Dong, Liehuang Zhu +2

Visible-infrared person re-identification (VIReID) primarily deals with matching identities across person images from different modalities. Due to the modality gap between visible…

cs.CR2023

Survey on Quality Assurance of Smart Contracts

Zhiyuan Wei, Jing Sun, Zijian Zhang +3

With the increasing adoption of smart contracts, ensuring their security has become a critical concern. Numerous vulnerabilities and attacks have been identified and exploited, res…

cs.LG2023★ 31 cited

Zero-Knowledge Proof-based Verifiable Decentralized Machine Learning in Communication Network: A Comprehensive Survey

Zhibo Xing, Zijian Zhang, Ziang Zhang +8

Over recent decades, machine learning has significantly advanced network communication, enabling improved decision-making, user behavior analysis, and fault detection. Decentralize…

cs.LG2023★ 3 cited

EASTER: Embedding Aggregation-based Heterogeneous Models Training in Vertical Federated Learning

Shuo Wang, Keke Gai, Jing Yu +3

Vertical federated learning has garnered significant attention as it allows clients to train machine learning models collaboratively without sharing local data, which protects the…

cs.AI2023★ 5 cited

Artificial Intelligence for Web 3.0: A Comprehensive Survey

Meng Shen, Zhehui Tan, Dusit Niyato +7

Web 3.0 is the new generation of the Internet that is reconstructed with distributed technology, which focuses on data ownership and value expression. Also, it operates under the p…

cs.CR2019

Privacy Leakage in Smart Homes and Its Mitigation: IFTTT as a Case Study

Rixin Xu, Qiang Zeng, Liehuang Zhu +2

The combination of smart home platforms and automation apps introduces much convenience to smart home users. However, this also brings the potential for privacy leakage. If a smart…

cs.CR2018★ 1 cited

Towards Delay-Tolerant Flexible Data Access Control for Smart Grid with Renewable Energy Resources

Zhitao Guan, Jing Li, Liehuang Zhu +3

In the Smart Grid with Renewable Energy Resources (RERs), the Residential Units (RUs) with Distributed Energy Resources (DERs) are considered to be both power consumers and supplie…

cs.CR2018

Secure Phrase Search for Intelligent Processing of Encrypted Data in Cloud-Based IoT

Meng Shen, Baoli Ma, Liehuang Zhu +2

Phrase search allows retrieval of documents containing an exact phrase, which plays an important role in many machine learning applications for cloud-based IoT, such as intelligent…

cs.CR2018

Cloud-Based Approximate Constrained Shortest Distance Queries Over Encrypted Graphs With Privacy Protection

Meng Shen, Baoli Ma, Liehuang Zhu +3

Constrained shortest distance (CSD) querying is one of the fundamental graph query primitives, which finds the shortest distance from an origin to a destination in a graph with a c…

cs.NI2018★ 5 cited

Privacy-Preserving DDoS Attack Detection Using Cross-Domain Traffic in Software Defined Networks

Liehuang Zhu, Xiangyun Tang, Meng Shen +2

Existing distributed denial-of-service attack detection in software defined networks (SDNs) typically perform detection in a single domain. In reality, abnormal traffic usually aff…

cs.CR2018★ 2 cited

PRIF: A Privacy-Preserving Interest-Based Forwarding Scheme for Social Internet of Vehicles

Liehuang Zhu, Chuan Zhang, Chang Xu +4

Recent advances in Socially Aware Networks (SANs) have allowed its use in many domains, out of which social Internet of vehicles (SIOV) is of prime importance. SANs can provide a p…