Dozierende
- Prof. Dr. Anja Lehmann
- Karla Friedrichs
- Melanie Angoujard
Allgemeine Informationen
- Semester: SO 2026
- SWS: 4
- ECTS: 6
- Einschreibefrist: 01.04.2026 - 30.04.2026
- Lehrform: Vorlesung/Übung (V/Ü)
Studiengänge, Modulgruppen & Module
- M. Sc. Software Systems Engineering
- Models and Algorithms (MODA)
- Concepts and Methods (HPI-MODA-C)
- Specialization (HPI-MODA-S)
- Technologies and Tools (HPI-MODA-T)
- Online and Interactive Systems (OISY)
- Concepts and Methods (HPI-OISY-C)
- Technologies and Tools (HPI-OISY-T)
- Specialization (HPI-OISY-S)
- Models and Algorithms (MODA)
- M.Sc. Computer Science
- Wahlpflichtmodule
- II Track: Algorithms and Foundations
- Deep Dive
- HPI-CS-PSD: Provable Security - Deep Dive
- Specialization
- HPI-CS-PSS: Provable Security - Specialization
- Core
- HPI-CS-PSC: Provable Security - Core
- Deep Dive
- III Track: Systems
- Specialization
- HPI-CS-DSS: Dependable Systems - Specialization
- Deep Dive
- HPI-CS-DSD: Dependable Systems - Deep Dive
- Specialization
- V Track: Security Engineering
- Core
- HPI-CS-CAC: Cyber Attack and Defense - Core
- HPI-CS-CPC: Advanced Cryptography and Protocols - Core
- Specialization
- Deep Dive
- HPI-CS-DSD: Dependable Systems - Deep Dive
- Core
- IV Track: Digital Health
- Core
- HPI-CS-ASC: Algorithms and Security - Core
- Core
- II Track: Algorithms and Foundations
- Pflichtmodule
- V Track: Security Engineering
- III Track: Systems
- Wahlpflichtmodule
- M.Sc. Digital Health
- Health Data Security (HDAS)
- Specialization (HPI-HDAS-S)
- Concepts and Methods (HPI-HDAS-C)
- Technologies and Tools (HPI-HDAS-T)
- Health Data Security (HDAS)
- M.Sc. Data Engineering
- Data Applications (DAPP)
- Spezialisierung (HPI-DAPP-S)
- Techniken und Werkzeuge (HPI-DAPP-T)
- Konzepte und Methoden (HPI-DAPP-K)
- Data Applications (DAPP)
- M.Sc. Cybersecurity
- Identity Management (IDMG)
- Spezialisierung (HPI-IDMG-S)
- Techniken und Werkzeuge (HPI-IDMG-T)
- Konzepte und Methoden (HPI-IDMG-K)
- Cyber Attack and Defense (CYAD)
- Spezialisierung (HPI-CYAD-S)
- Techniken und Werkzeuge (HPI-CYAD-T)
- Konzepte und Methoden (HPI-CYAD-K)
- Identity Management (IDMG)
- M.Sc. IT-Systems Engineering
- Internet, Security and Algorithm Engineering (ISAE)
- Techniken und Werkzeuge (HPI-ISAE-T)
- Konzepte und Methoden (HPI-ISAE-K)
- Spezialisierung (HPI-ISAE-S)
- Internet, Security and Algorithm Engineering (ISAE)
Weitere Informationen
Beschreibung
The lecture deals with advanced methods and protocols of cryptography, such as secret sharing and zero-knowledge proofs. A central topic will be the security goal of privacy and data protection, and the lecture will give an overview of how the presented cryptographic methods can be used to build privacy-preserving solutions. The course begins with homomorphic encryption, illustrating how computations can be performed directly on encrypted data. It then studies secret sharing and threshold cryptography as fundamental tools for distributed trust and robust key management. Advanced signature schemes are presented to show how authenticity can be achieved in multi-party settings, followed by zero-knowledge proofs as a core primitive for privacy-preserving authentication and verifiable computation. Finally, the lecture introduces secure multi-party computation, including garbled circuits and private set intersection, to demonstrate how mutually distrustful parties can jointly compute functions over private inputs without revealing their data.
The goal of the lecture is to give a broad overview of the available cryptographic techniques beyond the basic concepts of encryption and authentication. The course highlights practical design considerations and real-world deployment scenarios for modern privacy-enhancing technologies, and discusses trade-offs between efficiency, security and privacy in advanced cryptographic constructions.
Topics:
- (Partially) Homomorphic Encryption
- Secret Sharing & Threshold Crypto
- Advanced Signatures: Threshold / Multi / Blind Signatures
- Zero-knowledge Proofs (Theory & Applications)
- Multi-Party Computation (Yao's Garbled Circuits, Private Set Intersection, ...)
Voraussetzungen
The lecture requires successful participation in the lecture (Introduction to) Cryptography, or a similar course.
Literatur
Weekly lecture and exercise.
Exercises start in week 3.
Anmerkung
Prof. Dr. Anja Lehmann
Termine
- 15.04.2026 13:30 Uhr - 15:00 Uhr
Raum: H-E.51/52 - 16.04.2026 11:00 Uhr - 12:30 Uhr
Raum: H-2.57/58 - 29.04.2026 13:30 Uhr - 15:00 Uhr
Raum: H-E.51/52 - 06.05.2026 13:30 Uhr - 15:00 Uhr
Raum: H-E.51/52 - 13.05.2026 13:30 Uhr - 15:00 Uhr
Raum: H-E.51/52 - 20.05.2026 13:30 Uhr - 15:00 Uhr
Raum: H-E.51/52 - 21.05.2026 11:00 Uhr - 12:30 Uhr
Raum: H-2.57/58 - 28.05.2026 11:00 Uhr - 12:30 Uhr
Raum: H-2.57/58 - 03.06.2026 13:30 Uhr - 15:00 Uhr
Raum: H-E.51/52 - 10.06.2026 13:30 Uhr - 15:00 Uhr
Raum: H-E.51/52 - 11.06.2026 11:00 Uhr - 12:30 Uhr
Raum: H-2.57/58 - 17.06.2026 13:30 Uhr - 15:00 Uhr
Raum: H-E.51/52 - 18.06.2026 11:00 Uhr - 12:30 Uhr
Raum: H-2.57/58 - 24.06.2026 13:30 Uhr - 15:00 Uhr
Raum: H-E.51/52 - 08.07.2026 13:30 Uhr - 15:00 Uhr
Raum: H-E.51/52 - 15.07.2026 13:30 Uhr - 15:00 Uhr
Raum: H-E.51/52 - 22.07.2026 13:30 Uhr - 15:00 Uhr
Raum: H-E.51/52 - 23.07.2026 11:00 Uhr - 12:30 Uhr
Raum: H-2.57/58