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 2 years ago
- ADAPT is the open source white-box testing framework for deep neural networks☆22Updated 2 years ago
- Fuzzing Deep-Learning Libraries via Automated Relational API Inference (ESEC/FSE 2022)☆39Updated 2 years ago
- Artifact for ESEC/FSE'23 paper "NeuRI: Diversifying DNN Generation via Inductive Rule Inference"☆32Updated 2 years ago
- For our ISSTA'23 paper ACETest: Automated Constraint Extraction for Testing Deep Learning Operators☆12Updated last year
- Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source (ICSE'22)☆81Updated 3 years ago
- [ICSE 2023] Differentiable interpretation and failure-inducing input generation for neural network numerical bugs.☆13Updated last year
- This is the implementation repository of our incoming ESEC/FSE 2021 paper: Exposing Numerical Bugs in Deep Learning via GradientBack-prop…☆15Updated 3 years ago
- ☆11Updated 2 years ago
- CC: Causality-Aware Coverage Criterion for Deep Neural Networks☆12Updated 2 years ago
- For our ICSE22 paper "EAGLE: Creating Equivalent Graphs to Test Deep Learning Libraries" by Jiannan Wang, Thibaud Lutellier, Shangshu Qia…☆13Updated 2 years ago
- [TOSEM 2023] A Survey of Learning-based Automated Program Repair☆72Updated last year
- ☆59Updated last month
- Fuzzing Automatic Differentiation in Deep-Learning Libraries (ICSE'23)☆27Updated last year
- Replication Package for "Natural Attack for Pre-trained Models of Code", ICSE 2022☆49Updated 3 weeks ago
- This is the implementation repository of our ICSE'22 paper: Muffin: Testing Deep Learning Libraries via Neural Architecture Fuzzing.☆32Updated 3 years ago
- A collection of publications that works on code models but beyond focusing on the accuracies.☆13Updated 2 years ago
- ☆19Updated 6 years ago
- For our ISSTA22 paper "DocTer: Documentation-Guided Fuzzing for Testing Deep Learning API Functions" by Danning Xie, Yitong Li, Mijung Ki…☆38Updated 3 years ago
- ☆124Updated last year
- DLFuzz: An Efficient Fuzzing Testing Framework of Deep Learning Systems☆52Updated 7 years ago
- Mutation-based Fault Localization of Deep Neural Networks☆10Updated last year
- VulRepair: A T5-Based Automated Software Vulnerability Repair☆82Updated 6 months ago
- CONCOCTION is an automated machine learning-based vulnerability detection framework that combines static source code information and dyna…☆29Updated last year
- ☆89Updated 2 years ago
- [ICSE 2025] The Seeds of the FUTURE Sprout from History: Fuzzing for Unveiling Vulnerabilities in Prospective Deep-Learning Libraries (AC…☆19Updated 3 months ago
- Backdooring Neural Code Search☆14Updated 2 years ago
- Research Artifact of USENIX Security 2023 Paper: Precise and Generalized Robustness Certification for Neural Networks☆13Updated 2 years ago