Are Your Reviewers Being Treated Equally? Discovering Subgroup Structures to Improve Fairness in Spam Detection

no code implementations • 24 Apr 2022 • Jiaxin Liu, Yuefei Lyu, Xi Zhang, Sihong Xie

We first identify subgroup structures in the review graph that lead to discrepant accuracy in the groups.

Fairness Spam detection

Interpretable and Effective Reinforcement Learning for Attacking against Graph-based Rumor Detection

no code implementations • 15 Jan 2022 • Yuefei Lyu, Xiaoyu Yang, Jiaxin Liu, Philip S. Yu, Sihong Xie, Xi Zhang

To discover subtle vulnerabilities, we design a powerful attacking algorithm to camouflage rumors in social networks based on reinforcement learning that can interact with and attack any black-box detectors.

reinforcement-learning Reinforcement Learning (RL)