5 citations · 9 across the 6 of their papers we have counts for
6 papers
Opportunity-Cost-Driven Reward Mechanisms for Crowd-Sourced Computing Platforms
Shuhao Zheng, Ziyue Xin, Zonglun Li +1
This paper introduces a game-theoretic model tailored for reward distribution on crowd-sourced computing platforms. It explores a repeated game framework where miners, as computati…
Toward Resilient Airdrop Mechanisms: Empirical Measurement of Hunter Profits and Airdrop Game Theory Modeling
Junliang Luo, Hong Kang, Shuhao Zheng +1
Airdrops issued by platforms are to distribute tokens, drive user adoption, and promote decentralized services. The distributions attract airdrop hunters (attackers), who exploit t…
FLock: Defending Malicious Behaviors in Federated Learning with Blockchain
Nanqing Dong, Jiahao Sun, Zhipeng Wang +2
Federated learning (FL) is a promising way to allow multiple data owners (clients) to collaboratively train machine learning models without compromising data privacy. Yet, existing…
FIAT: Fine-grained Information Audit for Trustless Transborder Data Flow
Shuhao Zheng, Yanxi Lin, Yang Yu +3
Auditing the information leakage of latent sensitive features during the transborder data flow has attracted sufficient attention from global digital regulators. However, there is…
SPENDER: A Platform for Secure and Privacy-Preserving Decentralized P2P E-Commerce
Shuhao Zheng, Junliang Luo, Erqun Dong +2
The blockchain technology empowers secure, trustless, and privacy-preserving trading with cryptocurrencies. However, existing blockchain-based trading platforms only support tradin…
Generalized Data Weighting via Class-level Gradient Manipulation
Can Chen, Shuhao Zheng, Xi Chen +4
Label noise and class imbalance are two major issues coexisting in real-world datasets. To alleviate the two issues, state-of-the-art methods reweight each instance by leveraging a…