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backdoor_cl

ECAI-24 paper: Learning Backdoors for Mixed Integer Linear Programs with Contrastive Learning

https://github.com/caidog1129/backdoor_cl

Science Score: 54.0%

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
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    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
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    Academic publication links
    Links to: arxiv.org
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (3.3%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

ECAI-24 paper: Learning Backdoors for Mixed Integer Linear Programs with Contrastive Learning

Basic Info
  • Host: GitHub
  • Owner: caidog1129
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 2.08 MB
Statistics
  • Stars: 6
  • Watchers: 2
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme Citation

README.md

Learning-Backdoors-for-Mixed-Integer-Linear-Programs-with-Contrastive-Learning

ECAI-24 Paper: Learning Backdoors for mixed integer linear programs with contrastive learning

Datasets:

Distributional-MIPLIB: https://sites.google.com/usc.edu/distributional-miplib/home

Procedure

  1. Use generator to generate 300 instances, 200 for training, 100 for testing, store the instance dir in train.txt, test.txt. Each instance is a dir with instance file inside the dir
  2. Collect backdoor using backdoorsearch/backdoorsearch.py and evaluate backdoor using backdoorsearch/backdoorevaluate.py instance_wise(parallel)
  3. Create backdoor_dataset folder, inside create train and valid folder. Create log folder. Then train the model use train.py
  4. Use evaluate.py to evaluate(parallel), then use jupyter notebook to summarize and visualize

Owner

  • Login: caidog1129
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "CAI"
  given-names: "JUNYANG"
- family-names: "HUANG"
  given-names: "TAOAN"
- family-names: "DILKINA"
  given-names: "BISTRA"
title: "Learning Backdoors for Mixed Integer Linear Programs with Contrastive Learning"
version: 1.0.0
doi: 10.5281/zenodo.1234
date-released: 2024-07-21
url: "https://github.com/caidog1129/Backdoor_cl"

GitHub Events

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  • Push event: 1

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