Privacy-Preserving Data Analysis Courses and Certifications

Simons Institute

The Structure of Optimal Private Tests for Simple Hypotheses

Explore optimal private tests for simple hypotheses, examining their structure and implications for data analysis in privacy-preserving contexts.

• YouTube
• 48 minutes
• On-Demand
• Free Online Course

IEEE

A Programming Framework for Differential Privacy with Accuracy Concentration Bounds

Explore a programming framework for differential privacy, balancing data protection and analysis accuracy through novel static tracking and taint analysis techniques.

• YouTube
• 17 minutes
• On-Demand
• Free Online Course

Association for Computing Machinery (ACM)

Heavy Hitter Estimation over Set-Valued Data with Local Differential Privacy

Explore local differential privacy for heavy hitter estimation on set-valued data. Learn about randomized response, RAPPOR, and the LDPMiner framework for privacy-preserving data analysis.

• YouTube
• 34 minutes
• On-Demand
• Conference Talk

Association for Computing Machinery (ACM)

Membership Privacy in MicroRNA-based Studies

Explore privacy challenges in microRNA studies and learn about innovative techniques to protect individuals' genetic information while enabling valuable research.

• YouTube
• 25 minutes
• On-Demand
• Conference Talk

Association for Computing Machinery (ACM)

MVG Mechanism - Differential Privacy under Matrix-Valued Query

Explore a novel differential privacy mechanism for matrix-valued queries, addressing challenges in data protection and improving upon existing methods.

• YouTube
• 23 minutes
• On-Demand
• Free Online Course

IEEE

A Theory to Instruct Differentially-Private Learning via Clipping Bias Reduction

Explore a novel theory for enhancing differentially-private learning through clipping bias reduction, offering insights into privacy-preserving machine learning techniques.

• YouTube
• 15 minutes
• On-Demand
• Conference Talk

IEEE

Locally Differentially Private Frequency Estimation Based on Convolution Framework

Explore innovative techniques for privacy-preserving frequency estimation using a convolution framework, enhancing data protection in statistical analysis and machine learning applications.

• YouTube
• 14 minutes
• On-Demand
• Conference Talk

USENIX

Utility-Optimized Local Differential Privacy Mechanisms for Distribution Estimation

Explores utility-optimized local differential privacy mechanisms for distribution estimation, enhancing data utility while maintaining privacy for sensitive information.

• YouTube
• 21 minutes
• On-Demand
• Conference Talk

Simons Institute

On the Complexity of Two-Party Differential Privacy

Explores limitations and cryptographic requirements for distributed differential privacy in two-party functions like inner product and Hamming distance, with implications for data analysis and privacy.

• YouTube
• 40 minutes
• On-Demand
• Free Online Course

Alan Turing Institute

Turing Lecture - Dr Cynthia Dwork, Privacy-Preserving Data Analysis

Explore differential privacy and its role in protecting data during complex analysis. Learn about the risks of data accumulation and solutions for privacy-preserving statistical analysis of large datasets.

• YouTube
• 51 minutes
• On-Demand
• Free Online Course

TheIACR

Multi-party Computation I - Session 109

Explore the fundamentals and applications of Multi-party Computation, a cryptographic protocol enabling secure collaborative computations while preserving data privacy.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Online Course

Institute for Pure & Applied Mathematics (IPAM)

Learning from Aggregate Responses

Explore aggregate learning techniques for privacy-protected data, including loss construction, bagging schemes, and iterative boosting algorithms to improve model accuracy while maintaining data privacy.

• YouTube
• 45 minutes
• On-Demand
• Free Online Course

GOTO Conferences

It's a Kind Of Magic - Computation on Ciphertexts

Explore practical applications of computing on encrypted data, including cross-organizational data collaboration, through demonstrations and real-world use cases in this insightful presentation.

• YouTube
• 40 minutes
• On-Demand
• Conference Talk

USENIX

Utility Analysis for Differentially-Private Pipelines

Explore a methodology for estimating differential privacy's impact on data quality, aiding informed decision-making in implementing privacy-preserving pipelines.

• YouTube
• 13 minutes
• On-Demand
• Free Online Course