ForeverZyh / DEBAR
This repository contains the implementation and the evaluation of our ESEC/FSE 2020 paper: Detecting Numerical Bugs in Neural Network Architectures.
☆26Updated 4 years ago
Alternatives and similar repositories for DEBAR:
Users that are interested in DEBAR are comparing it to the libraries listed below
- This repository contains the dataset of our ISSTA 2018 paper: An Empirical Study on TensorFlow Program Bugs.☆30Updated 4 years ago
- Fuzzing Deep-Learning Libraries via Automated Relational API Inference (ESEC/FSE 2022)☆34Updated last year
- ☆74Updated 2 years ago
- Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source (ICSE'22)☆76Updated 2 years ago
- This is the implement repository of our upcoming ESEC/FSE 2020 paper: Deep Learning Library Testing via Effective Model Generation.☆54Updated last year
- 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
- 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
- ☆56Updated last year
- DLFuzz: An Efficient Fuzzing Testing Framework of Deep Learning Systems☆52Updated 6 years ago
- WhiteFox: White-Box Compiler Fuzzing Empowered by Large Language Models (OOPSLA 2024)☆54Updated 3 months ago
- [ICSE 2023] Differentiable interpretation and failure-inducing input generation for neural network numerical bugs.☆12Updated last year
- Artifact for ESEC/FSE'23 paper "NeuRI: Diversifying DNN Generation via Inductive Rule Inference"☆31Updated last year
- A Static Differential Analysis Tool of Network Protocol Parsers☆22Updated last year
- ☆25Updated 3 years ago
- Recent Paper About Bug Detection☆30Updated 5 years ago
- This is the implementation repository of our ICSE'22 paper: Muffin: Testing Deep Learning Libraries via Neural Architecture Fuzzing.☆30Updated 2 years ago
- ☆13Updated 3 years ago
- ☆39Updated last year
- Fuzzing Automatic Differentiation in Deep-Learning Libraries (ICSE'23)☆22Updated 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
- open science repo of "Neural Transfer Learning for Repairing Security Vulnerabilities in C Code" https://arxiv.org/pdf/2104.08308☆60Updated last year
- Reward Guided Test Generation for Deep Learning☆20Updated 7 months ago
- Program Vulnerability Repair via Inductive Inference☆18Updated last year
- ADAPT is the open source white-box testing framework for deep neural networks☆22Updated 2 years ago
- CC: Causality-Aware Coverage Criterion for Deep Neural Networks☆11Updated 2 years ago
- This repository is to support contributions for tools and new data entries for the D2A dataset hosted in DAX☆66Updated 2 years ago
- A learning-guided approach for executing arbitrary Python code snippets☆15Updated last year
- For our ISSTA20 paper "CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program Repair" by Thibaud Lutellier…☆60Updated last year
- ☆23Updated last week
- ☆11Updated last year