xiaoningdu / deepstellar
☆15Updated 4 years ago
Related projects: ⓘ
- Adversarial Robustness for Code☆16Updated 3 years ago
- This repository contains the implementation and the evaluation of our ESEC/FSE 2020 paper: Detecting Numerical Bugs in Neural Network Ar…☆26Updated 3 years ago
- An Automatic DNN TrainingProblem Detection and Repair System☆17Updated 8 months ago
- This repo illustrates how to evaluate the artifacts in the paper Deep Just-in-Time Defect Prediction: How Far Are We? published in ISSTA'…☆35Updated 10 months ago
- This is the implementation repository of our incoming ESEC/FSE 2021 paper: Exposing Numerical Bugs in Deep Learning via GradientBack-prop…☆14Updated last year
- White-box Fairness Testing through Adversarial Sampling☆12Updated 3 years ago
- Mutation-based Fault Localization of Deep Neural Networks☆10Updated 7 months ago
- Coverage-Guided Testing of Long Short-Term Memory (LSTM) Networks☆17Updated 3 years ago
- ADAPT is the open source white-box testing framework for deep neural networks☆21Updated last year
- ☆28Updated last year
- This is the implement repository of our upcoming ESEC/FSE 2020 paper: Deep Learning Library Testing via Effective Model Generation.☆53Updated 10 months ago
- Artefact for our ICSE 2021 paper CURE: Code-Aware Neural Machine Translation for Automatic Program Repair☆49Updated last year
- [ICSE 2023] Differentiable interpretation and failure-inducing input generation for neural network numerical bugs.☆12Updated 8 months ago
- ☆38Updated last year
- DLFuzz: An Efficient Fuzzing Testing Framework of Deep Learning Systems☆50Updated 6 years ago
- ☆10Updated 2 years ago
- Code for the paper: "Adversarial Examples for Models of Code"☆17Updated 3 years ago
- ☆33Updated 2 years ago
- This repository contains the dataset of our ISSTA 2018 paper: An Empirical Study on TensorFlow Program Bugs.☆30Updated 4 years ago
- ☆23Updated 4 years ago
- ☆11Updated 2 years ago
- ☆26Updated last year
- Structure-Invariant Testing for Machine Translation [ICSE'20]☆16Updated 3 years ago
- CC: Causality-Aware Coverage Criterion for Deep Neural Networks☆10Updated last year
- Code release of a paper "Guiding Deep Learning System Testing using Surprise Adequacy"☆46Updated 2 years ago
- open science repo of "Neural Transfer Learning for Repairing Security Vulnerabilities in C Code" https://arxiv.org/pdf/2104.08308☆54Updated 6 months ago
- Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection☆19Updated 5 years ago
- Towards Robustness of Deep Program Processing Models – Detection, Estimation and Enhancement☆18Updated last year
- DeepLocalize: Fault Localization for Deep NeuralNetworks☆25Updated 3 years ago
- ☆11Updated last year