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Program Analysis for System Security and Reliability
Last Updated: 2026-02-05 16:07:52
Abstract
Security issues in modern systems (blockchains, datacenters, deep learning, etc.) result in billions of losses due to hacks and system downtime. This course introduces fundamental techniques (ranging over automated analysis, machine learning, synthesis, zero-knowledge, differential privacy, and their combinations) that can be applied in practice so to build more secure and reliable modern systems.
Objective
* Understand the fundamental techniques used to create modern security and reliability analysis engines that are used worldwide. * Understand how symbolic techniques are combined with machine learning (e.g., deep learning, reinforcement learning) so to create new kinds of learning-based analyzers. * Understand how to quantify and fix security and reliability issues in modern deep learning models. * Understand open research questions from both theoretical and practical perspectives.
Content
Please see: https://www.sri.inf.ethz.ch/teaching/pass2022 for detailed course content.
Resources
Learning Materials (Links)
- Main link
- Information
General Information
- Language
- English
- Levels
- MSC , WBZ
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- written 120 minutes
- Aids
- None
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture | Program Analysis for System Security and Reliability |
|
2 h weekly |
| exercise | Program Analysis for System Security and Reliability |
|
1 h weekly |
| independent project | Program Analysis for System Security and Reliability | No time listed | 3 h weekly |