# DaST: Data-Free Substitute Training for Adversarial Attacks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/dast-data-free-substitute-training-for-adversarial-attacks/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mingyi Zhou,Jing Wu,Yipeng Liu,Shuaicheng Liu,Ce Zhu |
| Citations | 165 |
| DOI | 10.1109/cvpr42600.2020.00031 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3034530016 |
| Type | conference-paper |
| Year | 2020 |

## Paper authors

- [Yipeng Liu](https://scholariq.org/researchers/yipeng-liu/)

## 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/)
- [Generative Adversarial Networks and Image Synthesis](https://scholariq.org/topics/generative-adversarial-networks-and-image-synthesis/)
- [Advanced Malware Detection Techniques](https://scholariq.org/topics/advanced-malware-detection-techniques/)

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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.