filterfuzz

incubator-sentret

https://github.com/wsine/filterfuzz

Science Score: 57.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • 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
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (8.5%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

incubator-sentret

Basic Info
  • Host: GitHub
  • Owner: Wsine
  • License: mit
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 3.02 MB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Created almost 5 years ago · Last pushed over 3 years ago
Metadata Files
Readme License Citation

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

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

Committers

Last synced: 12 months ago

All Time
  • Total Commits: 15
  • Total Committers: 1
  • Avg Commits per committer: 15.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Wsine w****3@h****m 15

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
  • Average time to close pull requests: N/A
  • 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

Pipfile pypi
  • pandas *
  • scipy *
  • torch ==1.8.1
  • torchvision ==0.9.1
  • tqdm *
Pipfile.lock pypi
  • 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