Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits

26 August 2022

Papers citing "Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits"

6 / 6 papers shown

Title
Trustworthy Federated Learning: Privacy, Security, and Beyond Chunlu Chen Ji Liu Haowen Tan Xingjian Li Kevin I-Kai Wang Peng Li Kouichi Sakurai Dejing Dou FedML 52 4 0 03 Nov 2024
FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data Generation Timur Sattarov Marco Schreyer Damian Borth FedML DiffM MedIm 22 7 0 11 Jan 2024
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
Opacus: User-Friendly Differential Privacy Library in PyTorch Ashkan Yousefpour I. Shilov Alexandre Sablayrolles Davide Testuggine Karthik Prasad ... Sayan Gosh Akash Bharadwaj Jessica Zhao Graham Cormode Ilya Mironov VLM 168 350 0 25 Sep 2021
Multi-view Contrastive Self-Supervised Learning of Accounting Data Representations for Downstream Audit Tasks Marco Schreyer Timur Sattarov Damian Borth MLAU 32 15 0 23 Sep 2021
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 290 1,824 0 14 Dec 2020