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@ReDASers

ReDAS Lab at the University of Houston

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  1. PhishBench PhishBench Public

    A customizable benchmarking framework for phishing research.

    Python 6 4

  2. IWSPA-2023-Adversarial-Synthetic-Dataset IWSPA-2023-Adversarial-Synthetic-Dataset Public

    3

  3. CODASPY-2022-Deception CODASPY-2022-Deception Public

    Does Deception Leave a Content Independent Stylistic Trace?

    Jupyter Notebook 1

  4. ASIACCS2020-ScamAugmentation ASIACCS2020-ScamAugmentation Public

    Source code of the analysis for the paper "Scam Augmentation and Customization: Identifying Vulnerable Users and Arming Defenders"

    R

  5. TextAttack TextAttack Public

    Forked from QData/TextAttack

    TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP

    Python

  6. Writing-Checklist Writing-Checklist Public

    TeX

Repositories

Showing 8 of 8 repositories
  • adapters Public Forked from adapter-hub/adapters

    Experiments using new version of adapters library

    ReDASers/adapters’s past year of commit activity
    Jupyter Notebook 0 Apache-2.0 340 0 0 Updated Aug 31, 2024
  • adapters-master Public Forked from adapter-hub/adapters

    A Unified Library for Parameter-Efficient and Modular Transfer Learning

    ReDASers/adapters-master’s past year of commit activity
    Jupyter Notebook 0 Apache-2.0 340 0 0 Updated Jun 17, 2024
  • ReDASers/IWSPA-2023-Adversarial-Synthetic-Dataset’s past year of commit activity
    3 0 0 0 Updated Jun 1, 2023
  • PhishBench Public

    A customizable benchmarking framework for phishing research.

    ReDASers/PhishBench’s past year of commit activity
    Python 6 4 4 1 Updated Mar 25, 2023
  • CODASPY-2022-Deception Public

    Does Deception Leave a Content Independent Stylistic Trace?

    ReDASers/CODASPY-2022-Deception’s past year of commit activity
    Jupyter Notebook 1 0 0 0 Updated Mar 18, 2023
  • ReDASers/Writing-Checklist’s past year of commit activity
    TeX 0 0 0 0 Updated Oct 20, 2022
  • TextAttack Public Forked from QData/TextAttack

    TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP

    ReDASers/TextAttack’s past year of commit activity
    Python 0 MIT 391 0 0 Updated Feb 27, 2021
  • ASIACCS2020-ScamAugmentation Public

    Source code of the analysis for the paper "Scam Augmentation and Customization: Identifying Vulnerable Users and Arming Defenders"

    ReDASers/ASIACCS2020-ScamAugmentation’s past year of commit activity
    R 0 Apache-2.0 0 0 0 Updated May 26, 2020

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