ZhenlanJi / DL_CCLinks
CC: Causality-Aware Coverage Criterion for Deep Neural Networks
☆12Updated 2 years ago
Alternatives and similar repositories for DL_CC
Users that are interested in DL_CC are comparing it to the libraries listed below
Sorting:
- An Automatic DNN TrainingProblem Detection and Repair System☆18Updated last year
- Code release for RobOT (ICSE'21)☆15Updated 2 years 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
- ADAPT is the open source white-box testing framework for deep neural networks☆22Updated 2 years ago
- [ICSE 2023] Differentiable interpretation and failure-inducing input generation for neural network numerical bugs.☆13Updated last year
- The released code of ReluVal in USENIX Security 2018☆60Updated 5 years ago
- ☆28Updated 2 years ago
- Research Artifact of USENIX Security 2023 Paper: Precise and Generalized Robustness Certification for Neural Networks☆12Updated 2 years ago
- Concolic Testing for Deep Neural Networks☆119Updated 4 years ago
- ☆119Updated last year
- DLFuzz: An Efficient Fuzzing Testing Framework of Deep Learning Systems☆51Updated 7 years ago
- Official implementation of ISSTA 2022 paper: MDPFuzz: Testing Models Solving Markov Decision Processes.☆24Updated 2 years ago
- ☆25Updated 4 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
- Code release of a paper "Guiding Deep Learning System Testing using Surprise Adequacy"☆49Updated 3 years ago
- ☆14Updated 3 years ago
- ☆14Updated 2 years ago
- VulRepair: A T5-Based Automated Software Vulnerability Repair☆78Updated 2 months ago
- ☆15Updated last year
- The library for symbolic interval☆21Updated 5 years ago
- Replication Package for "Natural Attack for Pre-trained Models of Code", ICSE 2022☆46Updated 11 months ago
- Adversarial Robustness for Code☆15Updated 4 years ago
- ☆18Updated 5 years ago
- A learning-guided approach for executing arbitrary Python code snippets☆18Updated last year
- ☆10Updated last year
- Code for tracelet-level symbolic execution☆18Updated 2 years ago
- Fuzzing Deep-Learning Libraries via Automated Relational API Inference (ESEC/FSE 2022)☆38Updated 2 years ago
- OBsan: An Out-Of-Bound Sanitizer to Harden DNN Executables☆17Updated 2 years ago
- 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☆64Updated last year