LingfengZhang98 / EIDIGLinks
Source code, datasets and models of the paper "Efficient White-box Fairness Testing through Gradient Search" by Lingfeng Zhang, Yueling Zhang, Min Zhang in ISSTA'21.
☆11Updated 4 years ago
Alternatives and similar repositories for EIDIG
Users that are interested in EIDIG are comparing it to the libraries listed below
Sorting:
- White-box Fairness Testing through Adversarial Sampling☆13Updated 4 years ago
- ☆28Updated 2 years ago
- This is the implement repository of our upcoming ESEC/FSE 2020 paper: Deep Learning Library Testing via Effective Model Generation.☆55Updated last year
- Mutation-based Fault Localization of Deep Neural Networks☆10Updated last year
- [TOSEM 2023] A Survey of Learning-based Automated Program Repair☆69Updated last year
- [ICSE 2023] Differentiable interpretation and failure-inducing input generation for neural network numerical bugs.☆13Updated last year
- ADAPT is the open source white-box testing framework for deep neural networks☆22Updated 2 years ago
- This is the implementation repository of our incoming ESEC/FSE 2021 paper: Exposing Numerical Bugs in Deep Learning via GradientBack-prop…☆15Updated 2 years ago
- Machine Learning & Security Seminar @Purdue University☆25Updated 2 years ago
- An Automatic DNN TrainingProblem Detection and Repair System☆19Updated last year
- Code release for RobOT (ICSE'21)☆15Updated 2 years ago
- Fuzzing Deep-Learning Libraries via Automated Relational API Inference (ESEC/FSE 2022)☆39Updated 2 years ago
- Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source (ICSE'22)☆79Updated 2 years ago
- ☆18Updated 6 years ago
- CC: Causality-Aware Coverage Criterion for Deep Neural Networks☆12Updated 2 years ago
- [ISSTA 2025] A Large-scale Empirical Study on Fine-tuning Large Language Models for Unit Testing☆13Updated 7 months ago
- Artifact for ESEC/FSE'23 paper "NeuRI: Diversifying DNN Generation via Inductive Rule Inference"☆31Updated last year
- ☆46Updated 3 weeks ago
- Replication Package for "Natural Attack for Pre-trained Models of Code", ICSE 2022☆47Updated last year
- ☆25Updated 4 years ago
- ☆121Updated last year
- We propose a novel adversarial example generation technique (i.e., CODA) for testing deep code models. Its key idea is to use code differ…☆16Updated last year
- List of research papers of ICSE, FSE, ASE, and ISSTA since 2020.☆27Updated last week
- This is the official code repository for paper "Exploiting the Adversarial Example Vulnerability of Transfer Learning of Source Code".☆13Updated this week
- ☆13Updated last year
- Adversarial Attack for Pre-trained Code Models☆10Updated 3 years ago
- ☆11Updated 3 years ago
- A collection of publications that works on code models but beyond focusing on the accuracies.☆13Updated 2 years ago
- ☆25Updated 3 years ago
- 🔮Reasoning for Safer Code Generation; 🥇Winner Solution of Amazon Nova AI Challenge 2025☆25Updated last month