[PRE REVIEW]: RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness

[editorialbot]

Submitting author: @nic-barbara (Nicholas Barbara)
Repository: https://github.com/acfr/RobustNeuralNetworks.jl
Branch with paper.md (empty if default branch): paper
Version: v0.3.2
Editor: @lucaferranti
Reviewers: @asinghvi17, @pevnak
Managing EiC: Mathieu Besançon

Status

Status badge code:

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Markdown: [![status](https://proceedings.juliacon.org/papers/3dcae3a583464b727f2d025602a01762/status.svg)](https://proceedings.juliacon.org/papers/3dcae3a583464b727f2d025602a01762)

Author instructions

Thanks for submitting your paper to JCON @nic-barbara. Currently, there isn't a JCON editor assigned to your paper.

The AEiC suggestion for the handling editor is @lucaferranti.

@nic-barbara 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.

Editor instructions

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[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.90  T=0.15 s (621.9 files/s, 136202.0 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
SVG                             11              0              1          10174
TeX                             16            416            210           3159
Julia                           40            856            841           2113
Markdown                        16            551              0           1591
YAML                             5              2              2            122
TOML                             3              5              0             50
Ruby                             1              8              4             45
-------------------------------------------------------------------------------
SUM:                            92           1838           1058          17254
-------------------------------------------------------------------------------

Commit count by author:

   265	nic-barbara
    72	nicBarbara
    12	CompatHelper Julia
    12	MrstupidJ
    10	Johnny Cheng
     5	Jerome Justin
     4	Eccidio Eliott
     4	Nic Barbara
     2	johnnyCheng09
     2	yuruizhang06

[editorialbot]

Paper file info:

📄 Wordcount for paper.tex is 162

🔴 Failed to discover a Statement of need section in paper

[editorialbot]

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

OK DOIs

- 10.1109/TAC.2022.3183966 is OK
- 10.1109/CDC51059.2022.9992684 is OK
- 10.1109/ICRA48506.2021.9561814 is OK
- 10.1109/TAC.1971.1099826 is OK
- 10.1109/CVPR.2016.90 is OK
- 10.1137/141000671 is OK
- 10.21105/joss.00602 is OK
- 10.1109/CDC49753.2023.10383269 is OK
- 10.1109/CDC49753.2023.10383704 is OK
- 10.1109/TAC.1976.1101223 is OK
- 10.1109/LCSYS.2021.3050444 is OK
- 10.1109/LCSYS.2022.3184847 is OK
- 10.1109/TAC.2023.3294101 is OK
- 10.23919/ACC50511.2021.9483025 is OK
- 10.23919/ACC53348.2022.9867842 is OK

MISSING DOIs

- No DOI given, and none found for title: Lipschitz constant estimation for 1D convolutional...
- No DOI given, and none found for title: ReinforcementLearning.jl: A Reinforcement Learning...
- No DOI given, and none found for title: MNIST handwritten digit database
- No DOI given, and none found for title: Don’t Unroll Adjoint: Differentiating SSA-Form Pro...
- No DOI given, and none found for title: Direct Parameterization of Lipschitz-Bounded Deep ...
- No DOI given, and none found for title: Contraction Theory for Dynamical Systems
- No DOI given, and none found for title: Adversarial attacks on neural network policies
- No DOI given, and none found for title: Adam: A method for stochastic optimization
- No DOI given, and none found for title: Reinforcement Learning: An Introduction
- No DOI given, and none found for title: LipsNet: A Smooth and Robust Neural Network with A...

INVALID DOIs

- None

[editorialbot]

License info:

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

[editorialbot]

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

[lucaferranti]

@editorialbot assign @lucaferranti as editor

[editorialbot]

Assigned! @lucaferranti is now the editor

[lucaferranti]

Hi @nic-barbara 👋 , I'll be the editor for this submission.

I'll try to find reviewers ASAP for this

[nic-barbara]

Thanks @lucaferranti, please let me know if I need to do anything in the mean time.

[lucaferranti]

@editorialbot add @asinghvi17 as reviewer

[editorialbot]

@asinghvi17 added to the reviewers list!

[lucaferranti]

@editorialbot check references

[editorialbot]

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

OK DOIs

- 10.1109/TAC.2022.3183966 is OK
- 10.1109/CDC51059.2022.9992684 is OK
- 10.1109/ICRA48506.2021.9561814 is OK
- 10.1109/TAC.1971.1099826 is OK
- 10.1109/CVPR.2016.90 is OK
- 10.1137/141000671 is OK
- 10.21105/joss.00602 is OK
- 10.1109/CDC49753.2023.10383269 is OK
- 10.1109/CDC49753.2023.10383704 is OK
- 10.1109/TAC.1976.1101223 is OK
- 10.1109/LCSYS.2021.3050444 is OK
- 10.1109/LCSYS.2022.3184847 is OK
- 10.1109/TAC.2023.3294101 is OK
- 10.23919/ACC50511.2021.9483025 is OK
- 10.23919/ACC53348.2022.9867842 is OK

MISSING DOIs

- No DOI given, and none found for title: Lipschitz constant estimation for 1D convolutional...
- No DOI given, and none found for title: ReinforcementLearning.jl: A Reinforcement Learning...
- No DOI given, and none found for title: MNIST handwritten digit database
- No DOI given, and none found for title: Don’t Unroll Adjoint: Differentiating SSA-Form Pro...
- No DOI given, and none found for title: Direct Parameterization of Lipschitz-Bounded Deep ...
- No DOI given, and none found for title: Contraction Theory for Dynamical Systems
- No DOI given, and none found for title: Adversarial attacks on neural network policies
- No DOI given, and none found for title: Adam: A method for stochastic optimization
- No DOI given, and none found for title: Reinforcement Learning: An Introduction
- No DOI given, and none found for title: LipsNet: A Smooth and Robust Neural Network with A...

INVALID DOIs

- None

[lucaferranti]

Hi @nic-barbara ,

I found one reviewer and looking for a second one.

Meanwhile, I noticed some of the references don't have DOIs, could you check if some of those have a DOI available that could be added?

[lucaferranti]

@editorialbot add @pevnak as reviewer

[editorialbot]

@pevnak added to the reviewers list!

[lucaferranti]

@editorialbot start review

[editorialbot]

OK, I've started the review over in #163.