activity
20192023
most citedFedRecAttack: Model Poisoning Attack to Federated Recommendation

77 citations · 186 across the 12 of their papers we have counts for

collaborators

13 papers

cs.SE2023★ 1 cited

Demystifying Random Number in Ethereum Smart Contract: Taxonomy, Vulnerability Identification, and Attack Detection

Peng Qian, Jianting He, Lingling Lu +5

Recent years have witnessed explosive growth in blockchain smart contract applications. As smart contracts become increasingly popular and carry trillion dollars worth of digital a…

cs.IR2023★ 1 cited

CoMeta: Enhancing Meta Embeddings with Collaborative Information in Cold-start Problem of Recommendation

Haonan Hu, Dazhong Rong, Jianhai Chen +2

The cold-start problem is quite challenging for existing recommendation models. Specifically, for the new items with only a few interactions, their ID embeddings are trained inadeq…

cs.CR2023★ 5 cited

Rethinking Smart Contract Fuzzing: Fuzzing With Invocation Ordering and Important Branch Revisiting

Zhenguang Liu, Peng Qian, Jiaxu Yang +4

Blockchain smart contracts have given rise to a variety of interesting and compelling applications and emerged as a revolutionary force for the Internet. Quite a few practitioners…

cs.CR2022★ 14 cited

Who is Gambling? Finding Cryptocurrency Gamblers Using Multi-modal Retrieval Methods

Zhengjie Huang, Zhenguang Liu, Jianhai Chen +4

With the popularity of cryptocurrencies and the remarkable development of blockchain technology, decentralized applications emerged as a revolutionary force for the Internet. Meanw…

cs.CR2022★ 4 cited

Demystifying Bitcoin Address Behavior via Graph Neural Networks

Zhengjie Huang, Yunyang Huang, Peng Qian +2

Bitcoin is one of the decentralized cryptocurrencies powered by a peer-to-peer blockchain network. Parties who trade in the bitcoin network are not required to disclose any persona…

cs.CR2022

Smart Contract Vulnerability Detection Technique: A Survey

Peng Qian, Zhenguang Liu, Qinming He +3

Smart contract, one of the most successful applications of blockchain, is taking the world by storm, playing an essential role in the blockchain ecosystem. However, frequent smart…

cs.IR2022★ 45 cited

Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios

Dazhong Rong, Qinming He, Jianhai Chen

Various attack methods against recommender systems have been proposed in the past years, and the security issues of recommender systems have drawn considerable attention. Tradition…

cs.CR2022★ 77 cited

FedRecAttack: Model Poisoning Attack to Federated Recommendation

Dazhong Rong, Shuai Ye, Ruoyan Zhao +3

Federated Recommendation (FR) has received considerable popularity and attention in the past few years. In FR, for each user, its feature vector and interaction data are kept local…

cs.LG2021★ 8 cited

Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion

Zhenguang Liu, Peng Qian, Xiang Wang +3

Smart contracts hold digital coins worth billions of dollars, their security issues have drawn extensive attention in the past years. Towards smart contract vulnerability detection…

cs.CR2021★ 30 cited

DeFiRanger: Detecting Price Manipulation Attacks on DeFi Applications

Siwei Wu, Dabao Wang, Jianting He +5

The rapid growth of Decentralized Finance (DeFi) boosts the Ethereum ecosystem. At the same time, attacks towards DeFi applications (apps) are increasing. However, to the best of o…

cs.CR2019

De-Health: All Your Online Health Information Are Belong to Us

Shouling Ji, Qinchen Gu, Haiqin Weng +4

In this paper, we study the privacy of online health data. We present a novel online health data De-Anonymization (DA) framework, named De-Health. De-Health consists of two phases:…

cs.CR2019

FDI: Quantifying Feature-based Data Inferability

Shouling Ji, Haiqin Weng, Yiming Wu +3

Motivated by many existing security and privacy applications, e.g., network traffic attribution, linkage attacks, private web search, and feature-based data de-anonymization, in th…

cs.GT2019★ 1 cited

A Truthful FPTAS Mechanism for Emergency Demand Response in Colocation Data Centers

Jianhai Chen, Deshi Ye, Shouling Ji +3

Demand response (DR) is not only a crucial solution to the demand side management but also a vital means of electricity market in maintaining power grid reliability, sustainability…