# Adversarial Attacks on Deep Neural Networks for Time Series Classification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/adversarial-attacks-on-deep-neural-networks-for-time-series-classification/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Hassan Ismail Fawaz,Germain Forestier,Jonathan Weber,Lhassane Idoumghar,Pierre-Alain Müller |
| Citations | 139 |
| DOI | 10.1109/ijcnn.2019.8851936 |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/1903.07054 |
| OpenAlex ID | https://openalex.org/W2921458493 |
| Type | conference-paper |
| Year | 2019 |

## Paper authors

- [Hassan Ismail Fawaz](https://scholariq.org/researchers/hassan-ismail-fawaz/)
- [Jonathan Weber](https://scholariq.org/researchers/jonathan-weber/)
- [Germain Forestier](https://scholariq.org/researchers/germain-forestier/)
- [Lhassane Idoumghar](https://scholariq.org/researchers/lhassane-idoumghar/)
- [Pierre-Alain Müller](https://scholariq.org/researchers/pierre-alain-muller/)

## Paper primary topic

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

## Paper topics

- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Adversarial Robustness in Machine Learning](https://scholariq.org/topics/adversarial-robustness-in-machine-learning/)
- [Bacillus and Francisella bacterial research](https://scholariq.org/topics/bacillus-and-francisella-bacterial-research/)

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