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ApproxIoT: Approximate Analytics for Edge Computing

2018

IoT-enabled devices continue to generate a massive amount of data. Transforming this continuously arriving raw data into timely insights is critical for many modern online services. For such settings, the traditional form of data analytics …

Enclaves in the clouds

2021 · Communications of the ACM

Trusted Execution Environments ('TEEs') or 'secure enclaves' aim at enabling more secure computation and data management. There is much enthusiasm for this technology, not least as we see increasing legal and regulatory attention on issues …

Perun: Secure Multi-Stakeholder Machine Learning Framework with GPU Support

2021 · arXiv (Cornell University)

Confidential multi-stakeholder machine learning (ML) allows multiple parties to perform collaborative data analytics while not revealing their intellectual property, such as ML source code, model, or datasets. State-of-the-art solutions based on homomorphic encryption incur a …

TICAL: Trusted and Integrity-protected Compilation of AppLications

2024

During the past few years, we have witnessed various efforts to provide confidentiality and integrity for applications running in untrusted environments such as public clouds. In most of these approaches, hardware extensions such as Intel …