Search result: Catalogue data in Spring Semester 2023
Computer Science Master  | |||||||||||||||||||||||||||
 Majors | |||||||||||||||||||||||||||
| Major in Secure and Reliable Systems | |||||||||||||||||||||||||||
| Core Courses | |||||||||||||||||||||||||||
| Number | Title | Type | ECTS | Hours | Lecturers | ||||||||||||||||||||||
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| 263-2815-00L | Automated Software Testing  Last cancellation/deregistration date for this graded semester performance: 17 March 2023! Please note that after that date no deregistration will be accepted and the course will be considered as "fail". | W | 7 credits | 2V + 1U + 3A | Z. Su | ||||||||||||||||||||||
| Abstract | This course introduces students to classic and modern techniques for the automated testing and analysis of software systems for reliability, security, and performance. It covers both techniques and their applications in various domains (e.g., compilers, databases, theorem provers, operating systems, machine/deep learning, and mobile applications), focusing on the latest, important results. | ||||||||||||||||||||||||||
| Learning objective | * Learn fundamental and practical techniques for software testing and analysis * Understand the challenges, open issues and opportunities across a variety of domains (security/systems/compilers/databases/mobile/AI/education) * Understand how latest automated testing and analysis techniques work * Gain conceptual and practical experience in techniques/tools for reliability, security, and performance * Learn how to perform original and impactful research in this area | ||||||||||||||||||||||||||
| Content | The course will be organized into the following components: (1) classic and modern testing and analysis techniques (coverage metrics, mutation testing, metamorphic testing, combinatorial testing, symbolic execution, fuzzing, static analysis, etc.), (2) latest results on techniques and applications from diverse domains, and (3) open challenges and opportunities. A major component of this course is a class project. All students (individually or two-person teams) are expected to select and complete a course project. Ideally, the project is original research related in a broad sense to automated software testing and analysis. Potential project topics will also be suggested by the teaching staff. Students must select a project and write a one or two pages proposal describing why what the proposed project is interesting and giving a work schedule. Students will also write a final report describing the project and prepare a 20-30 minute presentation at the end of the course. The due dates for the project proposal, final report, and project presentation will be announced. The course will cover results from the Advanced Software Technologies (AST) Lab at ETH as well as notable results elsewhere, providing good opportunities for potential course project topics as well as MSc project/thesis topics. | ||||||||||||||||||||||||||
| Lecture notes | Lecture notes/slides and other lecture materials/handouts will be available online. | ||||||||||||||||||||||||||
| Literature | Reading material and links to tools will be published on the course website. | ||||||||||||||||||||||||||
| Prerequisites / Notice | The prerequisites for this course are some programming and algorithmic experience. Background and experience in software engineering, programming languages/compilers, and security (as well as operating systems and databases) can be beneficial. | ||||||||||||||||||||||||||
| 263-2925-00L | Program Analysis for System Security and Reliability Does not take place this semester. | W | 7 credits | 2V + 1U + 3A | M. Vechev | ||||||||||||||||||||||
| 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. | ||||||||||||||||||||||||||
| Learning 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. | ||||||||||||||||||||||||||
| 263-4660-00L | Applied Cryptography | W | 8 credits | 3V + 2U + 2P | K. Paterson, F. Günther | ||||||||||||||||||||||
| Abstract | This course will introduce the basic primitives of cryptography, using rigorous syntax and game-based security definitions. The course will show how these primitives can be combined to build cryptographic protocols and systems. | ||||||||||||||||||||||||||
| Learning objective | The goal of the course is to put students' understanding of cryptography on sound foundations, to enable them to start to build well-designed cryptographic systems, and to expose them to some of the pitfalls that arise when doing so. | ||||||||||||||||||||||||||
| Content | Basic symmetric primitives (block ciphers, modes, hash functions); generic composition; AEAD; basic secure channels; basic public key primitives (encryption,signature, DH key exchange); ECC; randomness; applications. | ||||||||||||||||||||||||||
| Literature | Textbook: Boneh and Shoup, “A Graduate Course in Applied Cryptography”, http://toc.cryptobook.us/book.pdf. | ||||||||||||||||||||||||||
| Prerequisites / Notice | Students should have taken the D-INFK Bachelor's course “Information Security" (252-0211-00) or an alternative first course covering cryptography at a similar level. / In this course, we will use Moodle for content delivery: https://moodle-app2.let.ethz.ch/course/view.php?id=19644. | ||||||||||||||||||||||||||
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