Science Score: 57.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 2 DOI reference(s) in README -
○Academic publication links
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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (8.5%) to scientific vocabulary
Repository
incubator-sentret
Basic Info
Statistics
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 1
Metadata Files
README.md
FilterFuzz
Project Code: Sentret
For more details, please refer to the following publication.
Publication
Z. Wei and W. K. Chan, "Fuzzing Deep Learning Models against Natural Robustness with Filter Coverage‡," 2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS), 2021, pp. 608-619, doi: 10.1109/QRS54544.2021.00071.
@inproceedings{9724948,
title = {Fuzzing Deep Learning Models against Natural Robustness with Filter Coverage‡},
author = {Wei, Zhengyuan and Chan, W.K.},
year = 2021,
booktitle = {2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS)},
volume = {},
number = {},
pages = {608--619},
doi = {10.1109/QRS54544.2021.00071}
}
Preparation
The dataset needs to be downloaded manually. Please refer to data/README.md.
Installation
The project is maintained with Pipenv. Please refer to the link for installing Pipenv.
The dependencies are very convenient to install by one command. The versions are same as proposed here.
bash
pipenv sync
How to run
The executions are well organized with the help of Pipenv.
``` ~/workspace/filterfuzz{main} > pipenv scripts Command Script
evaluate python src/eval.py -d gtsrb -m convstn -p none fuzz python src/fuzz.py -d gtsrb -m convstn -p negconv statsum ./scripts/statsum.sh statdiversity ./scripts/statdiversity.sh ```
Owner
- Name: Jankin Wei
- Login: Wsine
- Kind: user
- Website: blog.wsine.top
- Repositories: 19
- Profile: https://github.com/Wsine
To be simple, to be powerful.
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you conduct research with this technique, please cite it as below." authors: - family-names: "Wei" given-names: "Zhengyuan" orcid: "https://orcid.org/0000-0001-5966-1338" title: "Implementation of FilterFuzz" version: 1.0.0 date-released: 2021-09-01 url: "https://github.com/Wsine/filterfuzz"
GitHub Events
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Last Year
Issues and Pull Requests
Last synced: 12 months ago
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- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
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- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
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Dependencies
- pandas *
- scipy *
- torch ==1.8.1
- torchvision ==0.9.1
- tqdm *
- dataclasses ==0.8
- numpy ==1.19.5
- pandas ==1.1.5
- pillow ==8.3.2
- python-dateutil ==2.8.2
- pytz ==2021.1
- scipy ==1.5.4
- six ==1.16.0
- torch ==1.8.1
- torchvision ==0.9.1
- tqdm ==4.62.2
- typing-extensions ==3.10.0.2