fromHackernoon1 year agoPrivacy technologiesDatasets for Evaluating Text Sanitization Techniques | HackerNoonThe article highlights the importance of effective text anonymization and privacy risk assessment methods in natural language processing.
fromHackernoon1 year agoPrivacy technologiesLLM 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 agoPrivacy technologiesPerformance Analysis of the Privacy-Centric NER Model | HackerNoonA privacy-oriented entity recognizer enhances the safety of sensitive data in NLP applications, balancing privacy preservation with data utility.
fromHackernoon1 year agoPrivacy technologiesHow 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 | HackerNoonThe article highlights the importance of effective text anonymization and privacy risk assessment methods in natural language processing.
fromHackernoon1 year agoPrivacy technologiesLLM 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 agoPrivacy technologiesPerformance Analysis of the Privacy-Centric NER Model | HackerNoonA privacy-oriented entity recognizer enhances the safety of sensitive data in NLP applications, balancing privacy preservation with data utility.
fromHackernoon1 year agoPrivacy technologiesHow Privacy Risk Indicators Impact Text Sanitization | HackerNoonThe study establishes effective indicators for assessing privacy risks in natural language processing.
Privacy professionalsfromInfoWorld6 months agoGoogle releases differential privacy software for JVMGoogle's PipelineDP4j simplifies the implementation of differential privacy for Java developers.
fromCornell Chronicle1 week agoPrivacy professionalsVisiting 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.
Privacy professionalsfromInfoWorld6 months agoGoogle releases differential privacy software for JVMGoogle's PipelineDP4j simplifies the implementation of differential privacy for Java developers.
fromCornell Chronicle1 week agoPrivacy professionalsVisiting 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.
fromHackernoon1 month agoData scienceHow to Test for AI Fairness | HackerNoonThe research focuses on developing fair supervised learning models using different datasets to evaluate performance towards fairness in predictions.
fromHackernoon1 month agoData scienceMathematical Proofs for Fair AI Bias Analysis | HackerNoonThe article discusses enhancing fairness in supervised learning through distributionally robust optimization techniques.
fromHackernoon1 month agoData scienceHow to Test for AI Fairness | HackerNoonThe research focuses on developing fair supervised learning models using different datasets to evaluate performance towards fairness in predictions.
fromHackernoon1 month agoData scienceMathematical Proofs for Fair AI Bias Analysis | HackerNoonThe article discusses enhancing fairness in supervised learning through distributionally robust optimization techniques.
Privacy professionalsfromHackernoon9 months agoPrivacy in Cloud Computing through Immersion-based Coding: Abstract and Introduction | HackerNoonA new framework allows cloud data processing while preserving user privacy through distortion and differential privacy techniques.