# Towards Understanding and Improving Adversarial Robustness of Vision Transformers

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/towards-understanding-and-improving-adversarial-robustness-of-vision/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Samyak Jain,Tanima Dutta |
| Citations | 16 |
| DOI | 10.1109/cvpr52733.2024.02336 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4402753640 |
| Type | conference-paper |
| Year | 2024 |

## Paper authors

- [Samyak Jain](https://scholariq.org/researchers/samyak-jain/)

## Paper primary topic

- [Adversarial Robustness in Machine Learning](https://scholariq.org/topics/adversarial-robustness-in-machine-learning/)

## Paper topics

- [Adversarial Robustness in Machine Learning](https://scholariq.org/topics/adversarial-robustness-in-machine-learning/)
- [Physical Unclonable Functions (PUFs) and Hardware Security](https://scholariq.org/topics/physical-unclonable-functions-pufs-and-hardware-security/)
- [Integrated Circuits and Semiconductor Failure Analysis](https://scholariq.org/topics/integrated-circuits-and-semiconductor-failure-analysis/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.