2 papers
cs.CR2025
Instance-Level Data-Use Auditing of Visual ML Models
Zonghao Huang, Neil Zhenqiang Gong, Michael K. Reiter
The growing trend of legal disputes over the unauthorized use of data in machine learning (ML) systems highlights the urgent need for reliable data-use auditing mechanisms to ensur…
cs.CR2025
A General Framework for Data-Use Auditing of ML Models
Zonghao Huang, Neil Zhenqiang Gong, Michael K. Reiter
Auditing the use of data in training machine-learning (ML) models is an increasingly pressing challenge, as myriad ML practitioners routinely leverage the effort of content creator…