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[PRE REVIEW]: AdvSecureNet: A Python Toolkit for Adversarial Machine Learning #7513

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editorialbot opened this issue Nov 22, 2024 · 31 comments
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[PRE REVIEW]: AdvSecureNet: A Python Toolkit for Adversarial Machine Learning #7513

editorialbot opened this issue Nov 22, 2024 · 31 comments
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pre-review Python TeX Track: 5 (DSAIS) Data Science, Artificial Intelligence, and Machine Learning

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editorialbot commented Nov 22, 2024 •
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Submitting author: @melihcatal (Melih Catal)
Repository: https://github.com/melihcatal/advsecurenet
Branch with paper.md (empty if default branch): joss_paper
Version: V0.2.3
Editor: @osorensen
Reviewers: @lgiannantoni, @So-Cool
Managing EiC: Chris Vernon

Status

status

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HTML: <a href="https://joss.theoj.org/papers/11981e1a9908359269874056618d976c"><img src="https://joss.theoj.org/papers/11981e1a9908359269874056618d976c/status.svg"></a>
Markdown: [![status](https://joss.theoj.org/papers/11981e1a9908359269874056618d976c/status.svg)](https://joss.theoj.org/papers/11981e1a9908359269874056618d976c)

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Thanks for submitting your paper to JOSS @melihcatal. Currently, there isn't a JOSS editor assigned to your paper.

@melihcatal if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). You can search the list of people that have already agreed to review and may be suitable for this submission.

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@editorialbot editorialbot added pre-review Track: 5 (DSAIS) Data Science, Artificial Intelligence, and Machine Learning labels Nov 22, 2024
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Hello human, I'm @editorialbot, a robot that can help you with some common editorial tasks.

For a list of things I can do to help you, just type:

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For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:

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Software report:

github.com/AlDanial/cloc v 1.90  T=0.21 s (1865.6 files/s, 150303.4 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Python                         247           4208           3204          14546
YAML                            51             65             46           1591
reStructuredText                73            835           1136           1229
Jupyter Notebook                16              0           3673            501
Markdown                         6            219              0            492
TeX                              1             30              0            146
DOS Batch                        1              8              1             26
make                             1              4              7              9
INI                              1              1              0              8
-------------------------------------------------------------------------------
SUM:                           397           5370           8067          18548
-------------------------------------------------------------------------------

Commit count by author:

   270	Melih Catal

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Paper file info:

📄 Wordcount for paper.md is 1032

✅ The paper includes a Statement of need section

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License info:

✅ License found: MIT License (Valid open source OSI approved license)

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👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

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Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

✅ OK DOIs

- 10.21105/joss.02607 is OK

🟡 SKIP DOIs

- No DOI given, and none found for title: Adversarial Robustness Toolbox v1.2.0
- No DOI given, and none found for title: AdverTorch v0.1: An Adversarial Robustness Toolbox...
- No DOI given, and none found for title: secml: A Python Library for Secure and Explainable...
- No DOI given, and none found for title: Technical Report on the CleverHans v2.1.0 Adversar...
- No DOI given, and none found for title: Face Recognition Methods & Applications
- No DOI given, and none found for title: End to end learning for self-driving cars
- No DOI given, and none found for title: Role of chat gpt in public health
- No DOI given, and none found for title: Explaining and Harnessing Adversarial Examples
- No DOI given, and none found for title: Intriguing properties of neural networks
- No DOI given, and none found for title: Exploiting Vulnerabilities in Deep Neural Networks...
- No DOI given, and none found for title: Ensemble Adversarial Training: Attacks and Defense...

❌ MISSING DOIs

- 10.1109/cvpr42600.2020.00040 may be a valid DOI for title: Benchmarking Adversarial Robustness on Image Class...
- 10.1007/978-3-030-64573-1_27 may be a valid DOI for title: Introduction to artificial intelligence in medicin...
- 10.1109/icpr.2010.579 may be a valid DOI for title: Image quality metrics: PSNR vs. SSIM
- 10.1109/tip.2003.819861 may be a valid DOI for title: Image quality assessment: from error visibility to...
- 10.1007/978-3-319-28501-6_11 may be a valid DOI for title: Face recognition in challenging environments: An e...
- 10.3390/info14040242 may be a valid DOI for title: Transformers in the real world: A survey on nlp ap...

❌ INVALID DOIs

- None

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Five most similar historical JOSS papers:

FAT Forensics: A Python Toolbox for Implementing and
Deploying Fairness, Accountability and Transparency
Algorithms in Predictive Systems
Submitting author: @So-Cool
Handling editor: @arokem (Retired)
Reviewers: @bernease, @osolari
Similarity score: 0.6979

TSInterpret: A Python Package for the Interpretability of Time Series Classification
Submitting author: @JHoelli
Handling editor: @britta-wstnr (Active)
Reviewers: @ulf1, @jwwthu, @siebert-julien
Similarity score: 0.6884

niacin: A Python package for text data enrichment
Submitting author: @deniederhut
Handling editor: @oliviaguest (Active)
Reviewers: @BayesforDays, @sara-02
Similarity score: 0.6884

Aletheia: an open-source toolbox for steganalysis
Submitting author: @daniellerch
Handling editor: @mstimberg (Active)
Reviewers: @YassineYousfi, @ragibson
Similarity score: 0.6865

PyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphs
Submitting author: @diningphil
Handling editor: @arfon (Active)
Reviewers: @idoby, @sepandhaghighi
Similarity score: 0.6850

⚠️ Note to editors: If these papers look like they might be a good match, click through to the review issue for that paper and invite one or more of the authors before considering asking the reviewers of these papers to review again for JOSS.

@crvernon
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@editorialbot invite @osorensen as editor

👋 @osorensen - are you able to take this one on as editor?

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Invitation to edit this submission sent!

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@editorialbot add @osorensen as editor

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Assigned! @osorensen is now the editor

@osorensen
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@editorialbot generate pdf

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👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

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Five most similar historical JOSS papers:

FAT Forensics: A Python Toolbox for Implementing and
Deploying Fairness, Accountability and Transparency
Algorithms in Predictive Systems
Submitting author: @So-Cool
Handling editor: @arokem (Retired)
Reviewers: @bernease, @osolari
Similarity score: 0.7015

TSInterpret: A Python Package for the Interpretability of Time Series Classification
Submitting author: @JHoelli
Handling editor: @britta-wstnr (Active)
Reviewers: @ulf1, @jwwthu, @siebert-julien
Similarity score: 0.6881

niacin: A Python package for text data enrichment
Submitting author: @deniederhut
Handling editor: @oliviaguest (Active)
Reviewers: @BayesforDays, @sara-02
Similarity score: 0.6872

PyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphs
Submitting author: @diningphil
Handling editor: @arfon (Active)
Reviewers: @idoby, @sepandhaghighi
Similarity score: 0.6857

Aletheia: an open-source toolbox for steganalysis
Submitting author: @daniellerch
Handling editor: @mstimberg (Active)
Reviewers: @YassineYousfi, @ragibson
Similarity score: 0.6836

⚠️ Note to editors: If these papers look like they might be a good match, click through to the review issue for that paper and invite one or more of the authors before considering asking the reviewers of these papers to review again for JOSS.

@osorensen
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@editorialbot check references

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Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

✅ OK DOIs

- 10.21105/joss.02607 is OK

🟡 SKIP DOIs

- No DOI given, and none found for title: Adversarial Robustness Toolbox v1.2.0
- No DOI given, and none found for title: AdverTorch v0.1: An Adversarial Robustness Toolbox...
- No DOI given, and none found for title: secml: A Python Library for Secure and Explainable...
- No DOI given, and none found for title: Technical Report on the CleverHans v2.1.0 Adversar...
- No DOI given, and none found for title: Face Recognition Methods & Applications
- No DOI given, and none found for title: End to end learning for self-driving cars
- No DOI given, and none found for title: Role of chat gpt in public health
- No DOI given, and none found for title: Explaining and Harnessing Adversarial Examples
- No DOI given, and none found for title: Intriguing properties of neural networks
- No DOI given, and none found for title: Exploiting Vulnerabilities in Deep Neural Networks...
- No DOI given, and none found for title: Ensemble Adversarial Training: Attacks and Defense...

❌ MISSING DOIs

- 10.1109/cvpr42600.2020.00040 may be a valid DOI for title: Benchmarking Adversarial Robustness on Image Class...
- 10.1007/978-3-030-64573-1_27 may be a valid DOI for title: Introduction to artificial intelligence in medicin...
- 10.1109/icpr.2010.579 may be a valid DOI for title: Image quality metrics: PSNR vs. SSIM
- 10.1109/tip.2003.819861 may be a valid DOI for title: Image quality assessment: from error visibility to...
- 10.1007/978-3-319-28501-6_11 may be a valid DOI for title: Face recognition in challenging environments: An e...
- 10.3390/info14040242 may be a valid DOI for title: Transformers in the real world: A survey on nlp ap...

❌ INVALID DOIs

- None

@osorensen
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@melihcatal, I am looking for reviewers for your submission now. In the meantime, can you please fix the DOI issues for the references mentioned in the comment above?

@osorensen
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👋 @diningphil, @So-Cool, @asmitamitra, @lgiannantoni, would any of you be willing to review this submission for JOSS? We carry out our checklist-driven reviews here in GitHub issues and follow these guidelines: https://joss.readthedocs.io/en/latest/review_criteria.html

@melihcatal
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@editorialbot check references

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Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

✅ OK DOIs

- 10.48550/arXiv.1807.01069 is OK
- 10.48550/arXiv.1902.07623 is OK
- 10.1016/j.softx.2022.101095 is OK
- 10.21105/joss.02607 is OK
- 10.1109/CVPR42600.2020.00040 is OK
- 10.48550/arXiv.1610.00768 is OK
- 10.48550/arXiv.1403.0485 is OK
- 10.48550/arXiv.1604.07316 is OK
- 10.1007/s10439-023-03172-7 is OK
- 10.1080/13645706.2019.1575882 is OK
- 10.48550/arXiv.1412.6572 is OK
- 10.48550/arXiv.1312.6199 is OK
- 10.48550/arXiv.2105.03251 is OK
- 10.1109/ICPR.2010.579 is OK
- 10.1109/TIP.2003.819861 is OK
- 10.48550/arXiv.1705.07204 is OK
- 10.1007/978-3-319-28501-6_11 is OK
- 10.3390/info14040242 is OK

🟡 SKIP DOIs

- None

❌ MISSING DOIs

- None

❌ INVALID DOIs

- None

@melihcatal
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@melihcatal, I am looking for reviewers for your submission now. In the meantime, can you please fix the DOI issues for the references mentioned in the comment above?

Thank you for starting the process of finding reviewers! I’ve updated the references, and the DOI issue seems to be resolved now.

@diningphil
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Hi @osorensen, unfortunately I have to decline the invitation this time.

@So-Cool
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So-Cool commented Dec 2, 2024

Hi @osorensen, I'm happy to review this article.

@lgiannantoni
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lgiannantoni commented Dec 2, 2024 via email

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@editorialbot add @lgiannantoni as reviewer

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@lgiannantoni added to the reviewers list!

@osorensen
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Hi @osorensen, I'm happy to review this article.

@So-Cool, sorry for missing this one last week, and thanks a lot for agreeing to review. I'll add you as reviewer, and start the review now.

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@editorialbot add @So-Cool as reviewer

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@So-Cool added to the reviewers list!

@osorensen
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@editorialbot start review

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OK, I've started the review over in #7576.

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