predoodl / predooLinks
precision-error guided fuzz testing for deep learning operators
☆9Updated 4 years ago
Alternatives and similar repositories for predoo
Users that are interested in predoo are comparing it to the libraries listed below
Sorting:
- This is the implement repository of our upcoming ESEC/FSE 2020 paper: Deep Learning Library Testing via Effective Model Generation.☆55Updated last year
- This is the implementation repository of our ICSE'22 paper: Muffin: Testing Deep Learning Libraries via Neural Architecture Fuzzing.☆32Updated 3 years ago
- For our ISSTA22 paper "DocTer: Documentation-Guided Fuzzing for Testing Deep Learning API Functions" by Danning Xie, Yitong Li, Mijung Ki…☆36Updated 2 years ago
- Fuzzing Deep-Learning Libraries via Automated Relational API Inference (ESEC/FSE 2022)☆38Updated 2 years ago
- Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source (ICSE'22)☆79Updated 2 years ago
- Artifact for ESEC/FSE'23 paper "NeuRI: Diversifying DNN Generation via Inductive Rule Inference"☆31Updated last year
- Fast and Precise On-the-fly Patch Validation for All☆10Updated 2 years ago
- ☆85Updated last year
- Fuzzing Automatic Differentiation in Deep-Learning Libraries (ICSE'23)☆24Updated last year
- ☆74Updated 2 years ago
- This repository contains the implementation and the evaluation of our ESEC/FSE 2020 paper: Detecting Numerical Bugs in Neural Network Ar…☆26Updated 4 years ago
- This is the implementation repository of our incoming ESEC/FSE 2021 paper: Exposing Numerical Bugs in Deep Learning via GradientBack-prop…☆14Updated 2 years ago
- ☆26Updated 3 months ago
- For our ICSE22 paper "EAGLE: Creating Equivalent Graphs to Test Deep Learning Libraries" by Jiannan Wang, Thibaud Lutellier, Shangshu Qia…☆13Updated last year
- ☆51Updated 4 years ago
- [ICSE 2023] Differentiable interpretation and failure-inducing input generation for neural network numerical bugs.☆13Updated last year
- ☆11Updated 2 years ago
- LLMSAN: Sanitizing Large Language Models in Bug Detection with Data-Flow (EMNLP Findings 2024)☆78Updated last month
- This is an evaluation set for the problem of directed/targeted test input generation. We use it to benchmark the ability of Large Languag…☆33Updated 4 months ago
- This repository contains the dataset of our ISSTA 2018 paper: An Empirical Study on TensorFlow Program Bugs.☆30Updated 5 years ago
- The Themis Benchmark for evaluating automated GUI testing☆153Updated last year
- A continuously updated collection of CodeLLM papers maintained by PurCL group @ Purdue☆489Updated this week
- ☆58Updated last year
- [ICSE 2024 Industry Challenge Track] Official implementation of "ReposVul: A Repository-Level High-Quality Vulnerability Dataset".☆71Updated 7 months ago
- WhiteFox: White-Box Compiler Fuzzing Empowered by Large Language Models (OOPSLA 2024)☆62Updated last week
- Template-based Automated Program Repair☆47Updated last year
- DLFuzz: An Efficient Fuzzing Testing Framework of Deep Learning Systems☆51Updated 7 years ago
- We propose a novel DL-based mutation technique (LEAM), which adapts the syntax-guided encoder-decoder architecture to build two sub-model…☆28Updated last year
- For our ICSE21 paper "CURE: Code-Aware Neural Machine Translation for Automatic Program Repair" by Nan Jiang, Thibaud Lutellier, and Lin …☆55Updated 2 years ago
- An Automatic DNN TrainingProblem Detection and Repair System☆18Updated last year