Past events
- 2023-12-15T15:00:00+01:00
- 2023-12-15T16:00:00+01:00
- per Videokonferenz
MA Abschlussvortrag Philipp Stratil / Manuel Andreas
Title: Holistic Protection against Memory Exfiltration Attacks via On-the-Fly Virtualization
- 2023-12-06T09:00:00+01:00
- 2023-12-06T10:00:00+01:00
- per Videokonferenz
MA Abschlussvortrag Benjamin Pfanz / Emanuele Strieder
Title: Explainability of Deep Learning Methods in AES Side-Channel Analysis
- 2023-11-23T14:00:00+01:00
- 2023-11-23T15:00:00+01:00
- per Videokonferenz
MA Abschlussvortrag Teofil Bodea / Marius Momeu
Title: RISC-V Extensions for EPT-based Sandboxing with Optimized Memory Translations
- 2023-11-23T11:00:00+01:00
- 2023-11-23T12:00:00+01:00
- per Videokonferenz
MA Abschlussvortrag Tom Lin / Nikolai Puch, Sebastian Peters
Title: Authorization and Identity Management for Smart Factories
- 2023-11-14T16:00:00+01:00
- 2023-11-14T17:00:00+01:00
- per Videokonferenz
BA Abschlussvortrag Lorenz Mangold / Emanuele Strieder
Title: Collection and Evaluation of Standard Neural Networks for Side-Channel Analysis
- 2023-11-14T13:00:00+01:00
- 2023-11-14T14:00:00+01:00
- per Videokonferenz
BA Abschlussvortrag Leonard Auer / Fabian Kilger
Title: Decompilation of Virtual-Machine-Obfuscated Binaries
- 2023-11-03T11:30:00+01:00
- 2023-11-03T12:30:00+01:00
- per Videokonferenz
MA Abschlussvortrag Oliver Jacobsen / K. Hohentanner, K. Bogad
Title: Compiler-Based Return-Oriented Programming Prevention on RISC-V
- 2023-11-03T10:30:00+01:00
- 2023-11-03T11:30:00+01:00
- per Videokonferenz
BA Abschlussvortrag Marius Gugat / Tobias Madl
Title: Improving the Trust Algorithm of the C-ITS Trust-Level Concept
- 2023-10-18T13:00:00+02:00
- 2023-10-18T14:00:00+02:00
- per Videokonferenz
BA Abschlussvortrag Maximilian Zimmer / S. Peters, N. Puch
Title: Security Engineering Process for Authentication and Lifecycle Management in OT
- 2023-10-18T11:00:00+02:00
- 2023-10-18T12:00:00+02:00
- per Videokonferenz
GR Abschlussvortrag Alexander Wagner / Daniel Kowatsch
Title: Exploring the Potential of Machine Learning Techniques for Fuzzing