Eleos: ExitLess OS Services for SGX Enclaves
By Meni Orenbach, Pavel Lifshits, Marina Minkin, Mark Silberstein. 2017
230 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems, Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Dan Boneh
- Bryan Parno
- Florian Tramèr
- Andrew Baumann
- Andrew Ferraiuolo
- Chris Hawblitzel
- Brent Waters
- Craig Gentry
In Information Systems
- Bryan Parno
- Dan Boneh
- Andrew Baumann
- Florian Tramèr
- Andrew Ferraiuolo
- Chris Hawblitzel
- Brent Waters
- Craig Gentry
In Signal Processing
- Florian Tramèr
- Dan Boneh
- Andrew Baumann
- Bryan Parno
- Andrew Ferraiuolo
- Chris Hawblitzel
- Marcus Peinado
- Srini Devadas
Citations in the corpus
- Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware (2018, background): “untrusted devices. For example, current SGX CPUs are limited to 128 MB of Processor Reserved Memory (PRM) (Costan & Devadas, 2016) and incur severe paging overheads when exceeding this allowance (Orenbach et al., 2017). We also failed to achieve noticeable speed ups for multi-threaded DNN evalua”
- Komodo: Using verification to disentangle secure-enclave hardware from software (2017, background): “This will permit the use of enclave self-paging to manage memory [37, 66], without exposing page faults to the untrusted OS.”