PCAL: A Privacy-preserving Intelligent Credit Risk Modeling Framework Based on Adversarial Learning

6 October 2020

Papers citing "PCAL: A Privacy-preserving Intelligent Credit Risk Modeling Framework Based on Adversarial Learning"

5 / 5 papers shown

Title
Federated Continual Learning to Detect Accounting Anomalies in Financial Auditing Marco Schreyer Hamed Hemati Damian Borth M. Vasarhelyi FedML 42 3 0 26 Oct 2022
Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits Marco Schreyer Timur Sattarov Damian Borth MLAU 33 15 0 26 Aug 2022
E^2TAD: An Energy-Efficient Tracking-based Action Detector Xin Hu Zhenyu Wu Haoyuan Miao Siqi Fan Taiyu Long ... Pengcheng Pi Yi Wu Zhou Ren Zhangyang Wang G. Hua 24 2 0 09 Apr 2022
LAS-AT: Adversarial Training with Learnable Attack Strategy Xiaojun Jia Yong Zhang Baoyuan Wu Ke Ma Jue Wang Xiaochun Cao AAML 47 131 0 13 Mar 2022
Black-Box Diagnosis and Calibration on GAN Intra-Mode Collapse: A Pilot Study Zhenyu Wu Zhaowen Wang Ye Yuan Jianming Zhang Zhangyang Wang Hailin Jin 37 4 0 23 Jul 2021