01
AI Model Security
Ensures the reliability and robustness of AI models against adversarial attacks.
01 Specializations
AI and Data Security
This area studies the technical foundations for protecting and making safe use of artificial intelligence and big data.
AI & Data Security
Overview
The AI & Data area studies the technical foundations for protecting and making safe use of artificial intelligence and big data, the core drivers of the Fourth Industrial Revolution. From security technologies that ensure the reliability of AI algorithms themselves to mechanisms for protecting data across its entire lifecycle, students learn advanced security technologies that safeguard an intelligent digital society.
- AI algorithm reliability
- Data lifecycle protection
- Intelligent security technology
Educational Objectives
The aim is to build advanced technical capabilities for defending AI models against attacks and maintaining data integrity. To this end, the area educates forward-looking data security professionals skilled in AI security solution design, data de-identification, and machine learning-based threat detection, so that they can lead in the data economy.
- AI security solution design
- Data de-identification
- ML-based threat detection
Focus Areas
02
Data Lifecycle Protection
Studies data protection and de-identification across collection, storage, use, and disposal.
03
Machine Learning Threat Detection
Detects and responds to anomalous behavior and security threats in real time using machine learning.
Portal