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An Optimized Library Operating System for Intel® Software Guard Extensions

Revisit the porting approach for a library operating system. The results show that SGXKernel significantly outperforms a library operating system in Intel Software Guard Extensions.
Автор: админ Последнее обновление: 28.03.2019 - 13:25
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A Practical Library Operating System for Unmodified Applications

This paper disproves assumptions that unmodified applications can cause poor performance and a larger trusted computing base while running on Intel® Software Guard Extensions.
Автор: админ Последнее обновление: 27.03.2019 - 16:09
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Shield Applications from an Untrusted Cloud

The Haven prototype provides shielded execution for unmodified legacy applications (such as Microsoft SQL Server* and Apache*) and their data.
Автор: админ Последнее обновление: 28.03.2019 - 13:27
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Secure Linux* Containers Managed By Docker*

The Secure Linux* Container Environment (SCONE) is a mechanism for Docker* that uses the Intel® Software Guard Extensions trusted execution to protect container processes from outside attacks.
Автор: админ Последнее обновление: 28.03.2019 - 11:24
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Panoply: Low-Trusted Computing Base (TCB) Linux* Applications with Intel® SGX Enclaves (PDF)

In this paper, we present a new system called Panoply which bridges the gap between the Intel® Software Guard Extensions (Intel® SGX)-native abstractions and the standard OS abstractions which feat

Автор: админ Последнее обновление: 02.04.2019 - 11:35
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Panoply: Low-TCB Linux* Applications with Intel® SGX Enclaves (Project Site)

We present a new system called Panoply which bridges the gap between the Intel® Software Guard Extensions (Intel® SGX)-native abstractions and the standard OS abstractions which feature-rich, commo

Автор: админ Последнее обновление: 01.02.2019 - 08:51
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A Progressive Batching L-BFGS Method for Machine Learning

See how an improvement to the L-BFGS algorithm takes advantage of progressive batching, line search, and quasi-Newton updating.

Автор: админ Последнее обновление: 31.12.2018 - 14:00
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An Optimized Architecture for Unpaired Image-to-Image Translation

This paper introduces a new neural network architecture and shows how improvements to a Cycle-GAN significantly reduces training time for translating images across domains.

Автор: админ Последнее обновление: 02.08.2018 - 10:43
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Boost Adversarial Attacks with Momentum

Learn more about an award-wining method that uses noise unnoticeable to humans to confuse neural networks into making enormous mistakes.

Автор: админ Последнее обновление: 02.08.2018 - 10:41
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Break Natural Language Inference (NLI) Systems with Simple Lexical Interfaces

A new test shows that some of the best state-of-the-art natural language models fail by changing even just a few words.

Автор: админ Последнее обновление: 02.08.2018 - 10:40