Privacy technologiesfromIEEE Computer Society2 months agoCan You Trust the Data in a Privacy-First World?Ad measurement can now be conducted with enhanced privacy protections without sacrificing accuracy.
Privacy technologiesfromHackernoon1 year agoThe Role of Boundary Objects in New Tech Adoption | HackerNoonThe adoption of differential privacy at the U.S. Census Bureau highlights the need for effective stakeholder mediation in algorithmic governance.
fromHackernoon1 year agoThe Census Didn't Just Get Safer-It Got More Complex | HackerNoonThe Bureau's framing of differential privacy (DP) as a "modern" and "advanced" confidentiality method leads to an oversimplified narrative, masking its broader social implications.Digital life
fromHackernoon1 year agoLLM Probabilities, Training Size, and Perturbation Thresholds in Entity Recognition | HackerNoonThe article explores the intersection of natural language processing and privacy, emphasizing Differential Privacy as a method to protect data.The research identifies key indicators for evaluating privacy risks in NLP applications.
fromHackernoon1 year agoHow Privacy Risk Indicators Impact Text Sanitization | HackerNoonThe study establishes effective indicators for assessing privacy risks in natural language processing.
fromHackernoon1 year agoPrivacy technologiesDatasets for Evaluating Text Sanitization Techniques | HackerNoon
fromHackernoon1 year agoPrivacy technologiesPerformance Analysis of the Privacy-Centric NER Model | HackerNoon
fromHackernoon1 year agoPrivacy technologiesDatasets for Evaluating Text Sanitization Techniques | HackerNoon
fromHackernoon1 year agoPrivacy technologiesPerformance Analysis of the Privacy-Centric NER Model | HackerNoon
fromCornell Chronicle3 months agoVisiting lecturer to explore data privacy protection | Cornell ChronicleCynthia Dwork, a data privacy pioneer, will deliver impactful lectures at Cornell on differential privacy and its implications for society.
Artificial intelligencefromZDNET4 months agoHow Apple plans to train its AI on your data without sacrificing your privacyApple leverages synthetic data and differential privacy to enhance its AI technology while protecting user privacy.
Artificial intelligencefromTechCrunch4 months agoApple details how it plans to improve its AI models by privately analyzing user data | TechCrunchApple is enhancing AI model performance by using synthetic data for private user analysis.