Services
Conference reviewing
- IEEE International Conference on Distributed Computing Systems (ICDCS)
- International European Conference on Parallel and Distributed Computing (Euro-Par)
- ACM/IFIP International Middleware Conference (Middleware)
Journal reviewing
- IEEE Transactions on Dependable and Secure Computing (TDSC)
- IEEE Transactions on Big Data
- Data Mining and Knowledge Discovery (DAMI)
Master Thesis Supervision
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Chengpeng Jiang — Secure-TiKV: A Condential distributed transactional key-value database, 2021 (Online).
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Yue Wang — SGX-PaddlePaddle: A Confidential Machine Learning Framework, 2021 (Online).
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Hira Siddiqui — Credentials as a Service, 2020 (Online). This thesis won (Women’s STEM Award 2021).
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Mujtaba Idrees — Trusted Computation based Ecosystem for Blockchain and Beyond, 2020 (Online).
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Yateender Khedar — SGX-Vault: A key management system for secure distributed systems using Intel SGX, 2020 (Online).
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Prateek Bhatnagar — SPML: A Secure Privacy-preserving Machine Learning Framework using TEEs and Differential Privacy, 2020 (Online).
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Dominik Lauck — Technical Privacy and Security Enforcement in Blockchain-based Systems Leveraging Trusted Execution Environments, 2019.
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Donald Dragoti — Monitoring of Applications in Trusted Execution Environments, 2019.
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Steffan, Riccardo — PoC: a high-throughput blockchain consensus protocol based on Intel SGX, 2018.
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Kunkel, Roland Maria — SCONE-Tensorflow: secure and privacy-preserving machine learning framework, 2018.
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Alexander Lehmann — Distributed Testing System for Modern Cars, 2017.
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Valerio D’ Alessandro — Distributed Support Vector Machine Classification: A Scalable Approach, 2015.
Bachelor Thesis Supervision
- Mulham Raee — A Secure Mobile Application to decide Policy Changes, 2019.
Demo
- SGX-PySpark —
- Run OpenVino with Intel SGX using SCONE —
- TEEMon - a real-time performance monitoring framework for Intel SGX based applications —
- SCONE Tensorflow-Lite —
- Auto-scaling in OpenStack based clouds —
- Cost-based scheduling and data placement for multi-clouds —
- Robot labs for undergraduate students at TU Dresden —