2 papers
cs.CR2025
Human-Centered Interactive Anonymization for Privacy-Preserving Machine Learning: A Case for Human-Guided k-Anonymity
Sri Harsha Gajavalli
Privacy-preserving machine learning (ML) seeks to balance data utility and privacy, especially as regulations like the GDPR mandate the anonymization of personal data for ML applic…
cs.CR2025
What's Privacy Good for? Measuring Privacy as a Shield from Harms due to Personal Data Use
Sri Harsha Gajavalli, Junichi Koizumi, Rakibul Hasan
We propose a harm-centric conceptualization of privacy that asks: What harms from personal data use can privacy prevent? The motivation behind this research is limitations in exist…