Machine Learning Security and Privacy Summer School

1 Jul 2026, 10:00 → 3 Jul 2026, 18:00 Europe/Bucharest

ED011 (Politehnica Bucuresti)

Razvan Victor RUGHINIS (POLITEHNICA București)

Machine Learning Security and Privacy Summer School

Join us for the 3rd Machine Learning Security and Privacy Summer School. Machine learning architectures impact everyone's lives, whether they are aware of it or not. This intensive program aims to introduce students to the risks associated with developing novel machine learning architectures focused solely on achieving the best accuracy, regardless of the potential dangers. Participants will enhance their knowledge of machine learning architectures, the threats they face, and the protective measures that can be employed to counteract these attacks.

Course Overview:

The Machine Learning Security and Privacy Summer School will educate students on the vulnerabilities of machine learning architectures, including jailbreaking, data stealth, GenAI worms, and physical attacks. The course will also cover practical defense mechanisms to safeguard the privacy and security of these architectures. Participants will engage in hands-on activities and interactive discussions. No prior knowledge of artificial intelligence is required.

Day 1:

• Adversarial Attacks
• Demo
• Jailbreaking & Prompt Injection
• Demo

Day 2:

• Introduction to Machine Learning
• Exploratory Data Analysis (EDA)
• Training and Evaluating ML Models
• Neural Networks
• Model Interpretability and Adversarial Attacks

Day 3:

• Data Anonymizations
• Privacy Preserving Architectures
• Attacks on Machine Learning Architectures
• How to jailbreak a LLM?

You can find the courses and technical demos here: Machine Learning Security and Privacy Summer School Courses.

Register for Machine Learning Security and Privacy Summer School before June 10th.

 

Wednesday 1 July

Day 1 -: Python 101

Python 101

Convener: Razvan Victor RUGHINIS (POLITEHNICA București)