Latest Articles for Differential Privacy

Machine Learning Assessing Privacy in Synthetic Data Creation

Understanding the challenges and solutions for protecting privacy in data sharing.

Flavio Hafner, Chang Sun

2025-05-18T01:01:20+00:00 ― 8 min read

Machine Learning Balancing Flavors: The Stochastic Saddle Point Problems

Explore the role of stochastic saddle point problems in recipe optimization and privacy.

Raef Bassily, Cristóbal Guzmán, Michael Menart

2025-05-17T18:44:44+00:00 ― 6 min read

Data Structures and Algorithms Protecting Privacy in Data Analysis with String Distances

Learn how string distances can aid privacy in sensitive data analysis.

Jerry Yao-Chieh Hu, Erzhi Liu, Han Liu

2025-05-16T15:59:34+00:00 ― 6 min read

Machine Learning Balancing Efficiency and Privacy in Language Models

PEFT methods enhance language models while safeguarding private data.

Olivia Ma, Jonathan Passerat-Palmbach, Dmitrii Usynin

2025-05-10T06:49:20+00:00 ― 7 min read

Cryptography and Security The Importance of Privacy Auditing in Data Protection

Privacy auditing is vital for safeguarding personal data in today's information age.

Shiming Wang, Liyao Xiang, Bowei Cheng

2025-05-08T19:21:20+00:00 ― 5 min read

Machine Learning Enhancing Predictions While Preserving Privacy

A look into private prediction methods and the DaRRM algorithm.

Shuli Jiang, Qiuyi, Zhang

2025-05-07T12:32:00+00:00 ― 4 min read

Cryptography and Security Keeping Data Private: A New Model Explained

Learn how the linear-transformation model protects data privacy during analysis.

Jakob Burkhardt, Hannah Keller, Claudio Orlandi

2025-04-29T17:04:00+00:00 ― 7 min read

Statistics Theory Federated Learning: Balancing Privacy and Data Insights

A look at federated learning and its role in data privacy.

Jingyang Li, T. Tony Cai, Dong Xia

2025-04-26T15:36:45+00:00 ― 5 min read

Cryptography and Security Guarding Privacy in the Age of AI

New methods ensure data privacy protection while utilizing machine learning.

Sangyeon Yoon, Wonje Jeung, Albert No

2025-04-25T07:51:30+00:00 ― 6 min read

Machine Learning Federated Learning: The Future of Data Privacy

Federated Learning transforms machine learning while protecting sensitive data.

Shusen Yang, Fangyuan Zhao, Zihao Zhou

2025-04-24T21:09:45+00:00 ― 6 min read

Machine Learning Balancing Privacy and Insight in Data Analysis

Discover how privacy methods enhance data analysis without compromising individual information.

Hillary Yang

2025-04-20T10:57:00+00:00 ― 6 min read

Machine Learning Safe Sharing: The Future of Synthetic Data

Innovative methods ensure privacy while generating realistic synthetic data.

Tejumade Afonja, Hui-Po Wang, Raouf Kerkouche

2025-04-20T04:31:48+00:00 ― 7 min read

Cryptography and Security Keeping Secrets Safe with Smart Tech

Discover how privacy-preserving methods protect sensitive data in large language models.

Tatsuki Koga, Ruihan Wu, Kamalika Chaudhuri

2025-04-13T10:25:30+00:00 ― 7 min read

Machine Learning Balancing Privacy and Performance in Healthcare AI

This article discusses the challenges of maintaining patient privacy and fairness in healthcare technology.

Ali Dadsetan, Dorsa Soleymani, Xijie Zeng

2025-04-08T20:28:57+00:00 ― 6 min read

Machine Learning Federated Unlearning: A Path to Privacy in Data Science

Learn how Federated Unlearning improves data privacy while training AI models.

Jianan Chen, Qin Hu, Fangtian Zhong

2025-04-08T18:52:39+00:00 ― 6 min read

Machine Learning Balancing Privacy and Fairness in Data Analysis

Discover methods for maintaining privacy while ensuring fairness in data science.

Chunyang Liao, Deanna Needell, Alexander Xue

2025-04-05T08:13:12+00:00 ― 7 min read

Cryptography and Security Mayfly: A New Approach to Data Privacy

Mayfly keeps your data private while offering valuable insights.

Christopher Bian, Albert Cheu, Stanislav Chiknavaryan

2025-03-26T17:06:00+00:00 ― 6 min read

Cryptography and Security Balancing Data Privacy with Effective Analysis

A new method protects sensitive information while enabling useful data analysis.

Rayne Holland, Seyit Camtepe, Chandra Thapa

2025-03-17T22:50:42+00:00 ― 6 min read

Health Informatics Harnessing Synthetic Data for Patient Privacy

Synthetic data offers a safe way to share patient information for research.

Tim Adams, Colin Birkenbihl, Karen Otte

2025-03-13T09:43:45+00:00 ― 7 min read

Cryptography and Security SPIDEr: Safeguarding Your Data in a Digital World

Discover how SPIDEr protects personal information while enabling data use.

Novoneel Chakraborty, Anshoo Tandon, Kailash Reddy

2025-03-10T18:41:30+00:00 ― 6 min read

Machine Learning Balancing Learning Models and Privacy

Discover how learning models strive to enhance privacy in the digital age.

Maryam Aliakbarpour, Konstantina Bairaktari, Adam Smith

2025-03-04T00:12:09+00:00 ― 8 min read

Machine Learning Balancing Privacy and Fairness in Machine Learning

Discover techniques for balancing privacy and fairness in machine learning models.

Ahmad Hassanpour, Amir Zarei, Khawla Mallat

2025-03-02T20:06:54+00:00 ― 7 min read

Human-Computer Interaction Balancing Data Privacy with Research Needs

A look at synthetic data and its role in privacy.

Lucas Rosenblatt, Bill Howe, Julia Stoyanovich

2025-02-24T21:16:12+00:00 ― 5 min read

Cryptography and Security Safeguarding Privacy in Data Sampling

Discover how differential privacy protects personal data during analysis.

Albert Cheu, Debanuj Nayak

2025-02-24T00:17:27+00:00 ― 7 min read

Data Structures and Algorithms Safeguarding Your Data: The Future of Privacy

Learn how fingerprinting codes and algorithms protect your personal data.

Xin Lyu, Kunal Talwar

2025-02-20T13:44:51+00:00 ― 6 min read

Cryptography and Security Balancing Privacy and Choice in Data Analysis

Explore how differential privacy aids decision-making while protecting individual data.

Victor A. E. Farias, Felipe T. Brito, Cheryl Flynn

2025-02-20T12:08:33+00:00 ― 6 min read

Human-Computer Interaction Making Differential Privacy User-Friendly

Simplifying Differential Privacy for better understanding and usage.

Onyinye Dibia, Brad Stenger, Steven Baldasty

2025-02-06T12:41:51+00:00 ― 5 min read

Machine Learning Protecting Privacy in Machine Learning

Learn how to balance data privacy and machine learning insights.

Zijian Zhou, Xinyi Xu, Daniela Rus

2025-02-02T22:49:48+00:00 ― 5 min read

Statistics Theory Federated Learning: The Future of Privacy in Data

A look into federated learning and its role in maintaining privacy while improving data accuracy.

Tony Cai, Abhinav Chakraborty, Lasse Vuursteen

2025-01-24T16:56:14+00:00 ― 5 min read

Cryptography and Security Balancing Privacy and Explainability in AI

Discover the challenge of combining privacy and explainability in high-stakes AI systems.

Supriya Manna, Niladri Sett

2025-01-17T18:25:12+00:00 ― 7 min read