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    31 repositories

    • adversarial-rl-2025

      Public
      Replication package for the paper "In the Presence of Enemies: Improving RL Driving Agents with Adversarial Testing and Retraining"
      Python
      •0•0•0•0•Updated Sep 15, 2025Sep 15, 2025

    • adaptive-tg-qgrams

      Public
      Replication package for the FSE 2025 submission: "Adaptive Random Testing with Q-grams: The Illusion Comes True".
      Java
      •
      MIT License
      •2•1•0•0•Updated Jul 18, 2025Jul 18, 2025

    • muPRL

      Public
      Replication package for the paper "μPRL: a Mutation Testing Pipeline for Deep Reinforcement Learning based on Real Faults" ICSE 2025.
      Python
      •
      MIT License
      •1•3•1•0•Updated Mar 9, 2025Mar 9, 2025

    • sec4ai4sec-attackrepo

      Public
      JavaScript
      •
      Apache License 2.0
      •0•2•0•0•Updated Feb 24, 2025Feb 24, 2025

    • dl-fl-repair

      Public
      Jupyter Notebook
      •0•0•0•0•Updated Feb 2, 2025Feb 2, 2025

    • rl-plasticity-experiments

      Public
      Source code and data for the paper "Testing the Plasticity of Reinforcement Learning Based Systems"
      Python
      •
      MIT License
      •0•2•0•0•Updated Nov 17, 2024Nov 17, 2024

    • adversarial-rl-icst-2024

      Public
      Replication package for the paper "Adversarial Testing with Reinforcement Learning: A Case Study on Autonomous Driving"
      Python
      •
      MIT License
      •0•2•1•0•Updated Nov 17, 2024Nov 17, 2024

    • genbo

      Public
      Replication package for the paper "Boundary State Generation for Testing and Improvement of Autonomous Driving Systems"
      Python
      •
      MIT License
      •1•0•0•0•Updated Nov 17, 2024Nov 17, 2024

    • maxitwo

      Public
      Replication package of the paper "Two is Better Than One: Digital Siblings to Improve Autonomous Driving Testing"
      Python
      •
      MIT License
      •3•4•0•0•Updated Nov 17, 2024Nov 17, 2024

    • deepjanus

      Public
      Tools and data of the paper "Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing"
      Python
      •
      MIT License
      •9•15•0•0•Updated Jul 9, 2024Jul 9, 2024

    • tig-validity-icse23

      Public
      Python
      •
      MIT License
      •3•4•1•0•Updated Oct 31, 2023Oct 31, 2023

    • ambguess-src

      Public archive
      Python
      •
      MIT License
      •0•0•0•0•Updated Sep 23, 2023Sep 23, 2023

    • ambiguous-datasets

      Public
      MIT License
      •0•0•0•0•Updated Sep 23, 2023Sep 23, 2023

    • deepatash

      Public
      focused test generation for DL systems
      Python
      •
      MIT License
      •1•2•0•1•Updated Aug 28, 2023Aug 28, 2023

    • uncertainty-wizard

      Public
      Uncertainty-Wizard is a plugin on top of tensorflow.keras, allowing to easily and efficiently create uncertainty-aware deep neural networks. Also useful if you …
      testingkerasuncertainty
      testingkerasuncertaintyuncertainty-neural-networksuncertainty-quantificationkeras-tensorflow
      Python
      •
      MIT License
      •6•44•2•5•Updated May 24, 2023May 24, 2023

    • bisupervised

      Public archive
      TOSEM paper replication package
      PureBasic
      •
      MIT License
      •0•1•0•0•Updated May 24, 2023May 24, 2023

    • DeepHyperion

      Public
      Python
      •
      MIT License
      •6•8•0•0•Updated May 4, 2023May 4, 2023

    • fashion-mnist-c

      Public archive
      Python
      •
      MIT License
      •1•4•0•0•Updated Feb 3, 2023Feb 3, 2023

    • dnn-tip

      Public
      A collection of dnn test input prioritizers often used as benchmarks in recent literature.
      Python
      •
      MIT License
      •2•19•1•0•Updated Feb 3, 2023Feb 3, 2023

    • unboxer

      Public
      An Empirical Study on Low- and High-Level Explanations of Deep Learning Misbehaviours
      HTML
      •0•1•0•0•Updated Jan 11, 2023Jan 11, 2023

    • repli-stvr2022-uncertainty

      Public archive
      Python
      •
      MIT License
      •0•0•0•0•Updated Dec 9, 2022Dec 9, 2022

    • simple-tip

      Public archive
      This is the reproduction package of the paper Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning by M.Weiss and…
      machine-learningdeep-learningreproducible-research
      machine-learningdeep-learningreproducible-researchactive-learningreplication-studytest-prioritizationissta-2022
      Python
      •
      MIT License
      •2•5•0•0•Updated Jun 23, 2022Jun 23, 2022

    • surprise-adequacy

      Public archive
      Python
      •
      MIT License
      •0•13•0•0•Updated May 25, 2022May 25, 2022

    • corrupted-text

      Public
      A python library to generate out-of-distribution text datasets. Specifically, the library applies model-independent, commonplace corruptions (not model-specific…
      Python
      •
      MIT License
      •0•1•0•0•Updated Apr 26, 2022Apr 26, 2022

    • jsep2021-replication-package-material

      Public
      Python
      •
      MIT License
      •1•5•0•0•Updated Nov 12, 2021Nov 12, 2021

    • deepmetis

      Public
      Python
      •
      MIT License
      •0•9•0•0•Updated Aug 20, 2021Aug 20, 2021

    • deepthoughts

      Public
      0•1•0•0•Updated Jul 2, 2021Jul 2, 2021

    • selforacle

      Public archive
      The code of our paper "Misbehaviour Prediction for Autonomous Driving Systems", including our improved Udacity simulator
      Python
      •
      MIT License
      •11•21•0•0•Updated Jun 30, 2021Jun 30, 2021

    • urop-2021-exercise

      Public
      Repository for UROP 2021 exercise
      Python
      •6•0•0•0•Updated Mar 3, 2021Mar 3, 2021

    • repli-ensemble-bench

      Public archive
      Python
      •
      MIT License
      •0•0•0•0•Updated Dec 21, 2020Dec 21, 2020
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