Cybersecurity

CoLA: A Choice Leakage Attack Framework to Expose Privacy Risks in Subset Training

alinemati1983-6987Apr 15

28 sec read76 views0 listens

Researchers have developed CoLA, a framework that exposes new privacy risks associated with subset training in machine learning, challenging the assumption that fewer data samples equate to reduced privacy threats. This matters because it reveals that adversaries can exploit metadata or model outputs to infer sensitive information about both training and selection processes, potentially compromising the entire ML supply chain beyond individual models.

Read the full article at arXiv cs.CR (Cryptography & Security)

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