Privacy & Security

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TULIP Lab specializes in privacy & security research such as differential privacy, data generation, zero-trust architecture, etc.

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Privacy & Security

Differential Privacy
Differential Privacy

Develop and propose privacy preserving AI methods, so that the individual contributor's privacy is respected.

Zero Trust Architecture
Zero Trust Architecture

A strategic approach to cybersecurity that secures an organization by eliminating implicit trust and continuously validating every stage of a digital interaction: `never trust, always verify'.

Synthetic Data Generation
Synthetic Data Generation

How to generate data for analytic task outsourcing while retaining the original raw data? We develop methods to synthetically generate tabular data, multi-mode data and temporal data.

Malicous Document Detection
Malicous Document Detection

We develop approaches to detecting malicous documents, which including PDF files, MS Office files, as well as adversarial training data samples.