Nicolas Dutly
Doctoral Student

Nicolas Dutly

Research Area

Teaching

  • Stochastics and Machine Learning (SML): 2025 FS (TA)
  • Probabilistic Artificial Intelligence (PAI): 2024 HS (TA)
  • Introduction to Machine Learning (IML): 2024 FS (TA)

Publications

Running Theses

More accurate TCB Measurements (MA)
Student: Edward Ettesvoll
Supervisors: Moritz Schneider and Nicolas Dutly
Performance Counters and their Practical Security Implications on the Confidentiality of Intel SGX Workloads (BA)
Student: Cédric Déteindre
Supervisor: Nicolas Dutly

Supervised Theses

Arm CCA-based Normal-World Enclaves with Device Isolation (SA)
Student: Edouard Michelin
Supervisors: Friederike Groschupp and Nicolas Dutly