FRAD: Front-Running Attacks Detection on Ethereum using Ternary Classification Model

no code implementations • 24 Nov 2023 • Yuheng Zhang, Pin Liu, Guojun Wang, Peiqiang Li, Wanyi Gu, Houji Chen, Xuelei Liu, Jinyao Zhu

Front-running attacks, a unique form of security threat, pose significant challenges to the integrity of blockchain transactions.

Deep Contrastive One-Class Time Series Anomaly Detection

1 code implementation • 4 Jul 2022 • Rui Wang, Chongwei Liu, Xudong Mou, Kai Gao, Xiaohui Guo, Pin Liu, Tianyu Wo, Xudong Liu

To overcome the shortcomings, a deep Contrastive One-Class Anomaly detection method of time series (COCA) is proposed by authors, following the normality assumptions of CL and one-class classification.

Contrastive Learning One-Class Classification +2