Triton: Software-Defined Threat Model for Secure Multi-Tenant ML Inference Accelerators

Author:

Banerjee Sarbartha1ORCID,Wei Shijia1ORCID,Ramrakhyani Prakash2ORCID,Tiwari Mohit1ORCID

Affiliation:

1. University of Texas at Austin, USA

2. ARM Research

Funder

SRC

Intel Corporation

Publisher

ACM

Reference60 articles.

1. [n. d.]. Amazon sagemaker. https://aws.amazon.com/sagemaker/. [n. d.]. Amazon sagemaker. https://aws.amazon.com/sagemaker/.

2. [n. d.]. ARM Trustzone. https://www.arm.com/technologies/trustzone-for-cortex-a. [n. d.]. ARM Trustzone. https://www.arm.com/technologies/trustzone-for-cortex-a.

3. [n. d.]. HuggingFace. https://huggingface.co. [n. d.]. HuggingFace. https://huggingface.co.

4. [n. d.]. Intel Software Guard Extensions. https://software.intel.com/en-us/sgx. [n. d.]. Intel Software Guard Extensions. https://software.intel.com/en-us/sgx.

5. [n. d.]. LSTM in keras. https://blog.keras.io/a-ten-minute-introduction-to-sequence-to-sequence-learning-in-keras.html. [n. d.]. LSTM in keras. https://blog.keras.io/a-ten-minute-introduction-to-sequence-to-sequence-learning-in-keras.html.

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