TikTok's Privacy Innovation

How can platforms give researchers access to sensitive data without compromising user privacy? See how TikTok's novel two-stage data clean room solves this challenge.

#1about 2 minutes

Understanding the challenges of secure data collaboration

Data collaboration platforms must balance data provider control with consumer access while protecting the confidentiality and integrity of data.

#2about 1 minute

Establishing goals for a modern data collaboration framework

A successful framework must prioritize usability, security, privacy enforcement, data accuracy, and ease of cloud deployment.

#3about 3 minutes

Limitations of existing data privacy solutions

Existing solutions like SQL-based clean rooms, differential privacy, and TEEs each fail to meet all requirements for usability, accuracy, and privacy.

#4about 3 minutes

Introducing a two-stage data clean room solution

A novel two-stage approach separates interactive programming on privacy-enhanced data from execution on full data within a secure environment.

#5about 2 minutes

How trusted execution environments enable secure collaboration

TEEs provide hardware-based isolation and attestation reports, guaranteeing code and data integrity for all parties in a collaboration.

#6about 2 minutes

Applying the platform to research and machine learning

The platform serves as a trusted research environment (TRE) and supports use cases in advertising analytics and privacy-preserving machine learning.

#7about 4 minutes

Demonstrating the platform's workflow and attestation

A live demo shows how a researcher uses a Jupyter Notebook to train a model and verifies its execution in a TEE via a downloadable attestation report.

#8about 2 minutes