predoodl / predoo
precision-error guided fuzz testing for deep learning operators
☆8Updated 3 years ago
Alternatives and similar repositories for predoo:
Users that are interested in predoo are comparing it to the libraries listed below
- This is the implement repository of our upcoming ESEC/FSE 2020 paper: Deep Learning Library Testing via Effective Model Generation.☆54Updated last year
- Artifact for ESEC/FSE'23 paper "NeuRI: Diversifying DNN Generation via Inductive Rule Inference"☆31Updated last year
- This is the implementation repository of our ICSE'22 paper: Muffin: Testing Deep Learning Libraries via Neural Architecture Fuzzing.☆30Updated 2 years ago
- Fuzzing Deep-Learning Libraries via Automated Relational API Inference (ESEC/FSE 2022)☆34Updated last year
- For our ISSTA22 paper "DocTer: Documentation-Guided Fuzzing for Testing Deep Learning API Functions" by Danning Xie, Yitong Li, Mijung Ki…☆34Updated 2 years ago
- Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source (ICSE'22)☆76Updated 2 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
- Fuzzing Automatic Differentiation in Deep-Learning Libraries (ICSE'23)☆22Updated last year
- ☆79Updated last year
- For our ICSE22 paper "EAGLE: Creating Equivalent Graphs to Test Deep Learning Libraries" by Jiannan Wang, Thibaud Lutellier, Shangshu Qia…☆13Updated 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
- [ICSE 2023] Differentiable interpretation and failure-inducing input generation for neural network numerical bugs.☆12Updated last year
- Fast and Precise On-the-fly Patch Validation for All☆10Updated 2 years ago
- We propose a novel DL-based mutation technique (LEAM), which adapts the syntax-guided encoder-decoder architecture to build two sub-model…☆27Updated 8 months ago
- GenCoG: A DSL-Based Approach to Generating Computation Graphs for TVM Testing (ISSTA‘23)☆15Updated last year
- ☆50Updated 4 years ago
- ☆23Updated this week
- ☆11Updated last year
- WhiteFox: White-Box Compiler Fuzzing Empowered by Large Language Models (OOPSLA 2024)☆54Updated 3 months ago
- This is an evaluation set for the problem of directed/targeted test input generation. We use it to benchmark the ability of Large Languag…☆28Updated this week
- ADAPT is the open source white-box testing framework for deep neural networks☆22Updated last year
- ☆29Updated last year
- For our ISSTA'23 paper ACETest: Automated Constraint Extraction for Testing Deep Learning Operators☆10Updated 11 months ago
- For our ICSE21 paper "CURE: Code-Aware Neural Machine Translation for Automatic Program Repair" by Nan Jiang, Thibaud Lutellier, and Lin …☆54Updated 2 years ago
- ☆56Updated last year
- ☆13Updated 3 years ago
- An Automatic DNN TrainingProblem Detection and Repair System☆17Updated last year
- Template-based Automated Program Repair☆44Updated last year
- For our ISSTA20 paper "CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program Repair" by Thibaud Lutellier…☆60Updated last year