13 citations · 27 across the 6 of their papers we have counts for
6 papers
Constrained Policy Optimization for Provably Fair Order Matching
Zehua Cheng, Zhipeng Wang, Wei Dai +5
Automated matching engines execute millions of orders per session, yet systematic asymmetries in latency, order size, and market access compound into persistent execution dispariti…
Decentralized Finance (DeFi): A Survey
Erya Jiang, Bo Qin, Qin Wang +7
Decentralized Finance (DeFi) is a new paradigm in the creation, distribution, and utilization of financial services via the integration of blockchain technology. Our research condu…
Defending Against Poisoning Attacks in Federated Learning with Blockchain
Nanqing Dong, Zhipeng Wang, Jiahao Sun +3
In the era of deep learning, federated learning (FL) presents a promising approach that allows multi-institutional data owners, or clients, to collaboratively train machine learnin…
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…
SoK: Decentralized Finance (DeFi) Attacks
Liyi Zhou, Xihan Xiong, Jens Ernstberger +7
Within just four years, the blockchain-based Decentralized Finance (DeFi) ecosystem has accumulated a peak total value locked (TVL) of more than 253 billion USD. This surge in DeFi…
On How Zero-Knowledge Proof Blockchain Mixers Improve, and Worsen User Privacy
Zhipeng Wang, Stefanos Chaliasos, Kaihua Qin +5
Zero-knowledge proof (ZKP) mixers are one of the most widely-used blockchain privacy solutions, operating on top of smart contract-enabled blockchains. We find that ZKP mixers are…