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cs.CR2024
Anonymity Unveiled: A Practical Framework for Auditing Data Use in Deep Learning Models
Zitao Chen, Karthik Pattabiraman
The rise of deep learning (DL) has led to a surging demand for training data, which incentivizes the creators of DL models to trawl through the Internet for training materials. Mea…
cs.CR2024
A Method to Facilitate Membership Inference Attacks in Deep Learning Models
Zitao Chen, Karthik Pattabiraman
Modern machine learning (ML) ecosystems offer a surging number of ML frameworks and code repositories that can greatly facilitate the development of ML models. Today, even ordinary…