Enhancing Data Provenance and Model Transparency in Federated Learning Systems — A Database Approach
Authors: Michael Gu, Ramasoumya Naraparaju, Dongfang Zhao | Published: 2024-03-03
データの起源と変遷
On Practical Aspects of Aggregation Defenses against Data Poisoning Attacks
Authors: Wenxiao Wang, Soheil Feizi | Published: 2023-06-28
Common Vulnerability Scoring System Prediction based on Open Source Intelligence Information Sources
Authors: Philipp Kuehn, David N. Relke, Christian Reuter | Published: 2022-10-05
Data Provenance via Differential Auditing
Authors: Xin Mu, Ming Pang, Feida Zhu | Published: 2022-09-04
Challenges and Complexities in Machine Learning based Credit Card Fraud Detection
Authors: Gayan K. Kulatilleke | Published: 2022-08-20
FLAIR: Federated Learning Annotated Image Repository
Authors: Congzheng Song, Filip Granqvist, Kunal Talwar | Published: 2022-07-18
Preventing Machine Learning Poisoning Attacks Using Authentication and Provenance
Authors: Jack W. Stokes, Paul England, Kevin Kane | Published: 2021-05-20
Reframing Threat Detection: Inside esINSIDER
Authors: M. Arthur Munson, Jason Kichen, Dustin Hillard, Ashley Fidler, Peiter Zatko | Published: 2019-04-07
A Conceptual Architecture for Contractual Data Sharing in a Decentralised Environment
Authors: Iain Barclay, Alun Preece, Ian Taylor, Dinesh Verma | Published: 2019-04-05
A Unified Analytical Framework for Trustable Machine Learning and Automation Running with Blockchain
Authors: Tao Wang | Published: 2019-03-21