shiningrain / AUTOTRAINER
An Automatic DNN TrainingProblem Detection and Repair System
☆17Updated last year
Alternatives and similar repositories for AUTOTRAINER:
Users that are interested in AUTOTRAINER are comparing it to the libraries listed below
- [ICSE 2023] Differentiable interpretation and failure-inducing input generation for neural network numerical bugs.☆12Updated 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
- Adversarial Robustness for Code☆15Updated 3 years ago
- Fuzzing Deep-Learning Libraries via Automated Relational API Inference (ESEC/FSE 2022)☆34Updated last year
- This is the implement repository of our upcoming ESEC/FSE 2020 paper: Deep Learning Library Testing via Effective Model Generation.☆54Updated last year
- ☆13Updated 3 years ago
- Fuzzing Automatic Differentiation in Deep-Learning Libraries (ICSE'23)☆22Updated last year
- CC: Causality-Aware Coverage Criterion for Deep Neural Networks☆11Updated 2 years ago
- IST'21 & SANER'22: Semantic-Preserving Program Transformations☆31Updated 2 years ago
- Towards Robustness of Deep Program Processing Models – Detection, Estimation and Enhancement☆19Updated 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
- 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…☆13Updated 2 years ago
- Replication Package for "Natural Attack for Pre-trained Models of Code", ICSE 2022☆43Updated 6 months ago
- A learning-guided approach for executing arbitrary Python code snippets☆15Updated 11 months ago
- DeepCrime - Mutation Testing Tool for Deep Learning Systems☆15Updated last year
- ☆24Updated 2 years ago
- For our ICSE21 paper "CURE: Code-Aware Neural Machine Translation for Automatic Program Repair" by Nan Jiang, Thibaud Lutellier, and Lin …☆52Updated 2 years ago
- 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
- Generating Adversarial Examples for Holding Robustness of Source Code Processing Models☆12Updated 3 years ago
- ☆40Updated 2 years ago
- Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source (ICSE'22)☆75Updated 2 years ago
- ☆29Updated last year
- Mutation-based Fault Localization of Deep Neural Networks☆10Updated last year
- For our ISSTA20 paper "CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program Repair" by Thibaud Lutellier…☆60Updated last year
- Artifact for ESEC/FSE'23 paper "NeuRI: Diversifying DNN Generation via Inductive Rule Inference"☆31Updated last year
- ☆24Updated 3 years ago
- We propose a novel adversarial example generation technique (i.e., CODA) for testing deep code models. Its key idea is to use code differ…☆14Updated last year
- VulRepair: A T5-Based Automated Software Vulnerability Repair☆72Updated last year
- Fast and Precise On-the-fly Patch Validation for All☆10Updated 2 years ago