# A Survey of Techniques for Improving Security of GPUs

arXiv: https://arxiv.org/abs/1804.00114 · HTML: https://mlsanity.com/paper/1804.00114/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 31 Mar 2018.

## Built on by (most cited first, 2 of 2)

- [A First Look At Efficient And Secure On-Device LLM Inference Against KV Leakage](https://mlsanity.com/paper/2409.04040/) (2024)
- [Security and Safety Aspects of AI in Industry Applications](https://mlsanity.com/paper/2207.10809/) (2022)

## Abstract (arXiv)

Graphics processing unit (GPU), although a powerful performance-booster, also has many security vulnerabilities. Due to these, the GPU can act as a safe-haven for stealthy malware and the weakest `link' in the security `chain'. In this paper, we present a survey of techniques for analyzing and improving GPU security. We classify the works on key attributes to highlight their similarities and differences. More than informing users and researchers about GPU security techniques, this survey aims to increase their awareness about GPU security vulnerabilities and potential countermeasures.