# FASNet: Federated adversarial Siamese networks for robust malware image classification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/fasnet-federated-adversarial-siamese-networks-for-robust-malware-image/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Namrata Govind Ambekar,Sonali Samal,N Nandini Devi,Surmila Thokchom |
| Citations | 12 |
| DOI | 10.1016/j.jpdc.2025.105039 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4406505146 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Sonali Samal](https://scholariq.org/researchers/sonali-samal/)

## Paper primary topic

- [Advanced Malware Detection Techniques](https://scholariq.org/topics/advanced-malware-detection-techniques/)

## Paper topics

- [Advanced Malware Detection Techniques](https://scholariq.org/topics/advanced-malware-detection-techniques/)
- [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/)

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