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Showing 1 to 8 of 8 for “"Intel SGX"”.

  1. Hiding Decryption Latency in Intel SGX using Metadata Prediction

    … One of such hardware-assisted countermeasures is Intel Software Guard Extension (SGX). Using additional dedicated hardware and a new set of CPU instructions, SGX is able to provide isolated execution of code within trusted hardware containers called enclaves. By utilizing private encrypted memory …

    vt Repository record for Hiding Decryption Latency in Intel SGX using Metadata Prediction (opens in a new tab)

  2. Extending secure and trusted computation to FPGA accelerators

    … Existing trusted computing solutions such as Intel SGX or ARM TrustZone target at CPU-only environments, making external accelerators and peripheral devices unprotected. This work proposes a new scheme to extend trust computing for FPGA accelerators. The scheme consists of a security manager …

    uiuc Repository record for Extending secure and trusted computation to FPGA accelerators (opens in a new tab)

  3. Game of threads: Enabling asynchronous poisoning attacks

    … trusted execution environments (TEEs), e.g., Intel SGX, our attack bypasses these protections even when the training set can be verified as correct. To the best of our knowledge, this represents the first example where a class of applications loses integrity guarantees, despite being protected …

    uiuc Repository record for Game of threads: Enabling asynchronous poisoning attacks (opens in a new tab)

  4. Remote Software Guard Extension (RSGX)

    … (TEEs) for devices lacking TEE support. RSGX is a framework crafted to transparently offload security-sensitive workloads to an enclave hosted in a remote centralized edge server. Operating as clients, low-end TEE-lacking devices can harness the hardware security features provided by TEEs …

    vt Repository record for Remote Software Guard Extension (RSGX) (opens in a new tab)

  5. Recommending TEE-based Functions Using a Deep Learning Model

    … on functions from GitHub repositories that use Intel SGX and on an imbalanced dataset. The accuracy of the final model used in the recommendation system has an accuracy of 98.86% and an F1 score of 80.00%. In addition, we conducted a pilot study, in which participants were asked to identify …

    vt Repository record for Recommending TEE-based Functions Using a Deep Learning Model (opens in a new tab)

  6. Hardening Trusted Execution Environments Against Microarchitectural Side-Channel Attacks: A Constructive Approach

    … targeting commercial TEE platforms including Intel SGX, AMD-SEV, and ARM TrustZone. Existing approaches to defend against these attacks face significant limitations. Hardware-based solutions [12–14] often require complex processor modifications with significant hardware overhead. Replacing …

    mit Repository record for Hardening Trusted Execution Environments Against Microarchitectural Side-Channel Attacks: A Constructive Approach (opens in a new tab)

  7. Utility-driven optimization and placement framework for Visual IoT analytics over edge-cloud environments

    … leverage trusted execution environments (e.g., Intel-SGX) which allow users to execute machine learning predictions on visual IoT data while maintaining data confidentiality. To speed up the machine learning predictions, we develop a technique to find the best partitioning of neural networks …

    uiuc Repository record for Utility-driven optimization and placement framework for Visual IoT analytics over edge-cloud environments (opens in a new tab)

  8. Oblivious RAM in Scalable SGX

    The prevalence of cloud storage has yielded significant benefits to consumers. Trusted Exe- cution Environments (TEEs) have been introduced to protect program execution and data in the cloud. However, an attacker targeting the cloud storage server through side-channel attacks can still learn some …

    vt Repository record for Oblivious RAM in Scalable SGX (opens in a new tab)