# Frequency-based methods for improving the imperceptibility and transferability of adversarial examples

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/frequency-based-methods-for-improving-the-imperceptibility-and-transferability/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Hegui Zhu,Yuchen Ren,Chong Liu,Xiaoyan Sui,Libo Zhang |
| Citations | 21 |
| DOI | 10.1016/j.asoc.2023.111088 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4388905688 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Yuchen Ren](https://scholariq.org/researchers/yuchen-ren/)

## 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/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [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.