CITATION.cff

cff-version: 1.2.0
title: 'OSS-Fuzz-Gen: Automated Fuzz Target Generation'
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Dongge
    family-names: Liu
    email: donggeliu@google.com
    affiliation: Google LLC
    orcid: 'https://orcid.org/0000-0003-4821-7033'
  - given-names: Oliver
    family-names: Chang
    email: ochang@google.com
    affiliation: Google LLC
    orcid: 'https://orcid.org/0009-0006-3181-4551'
  - given-names: Jonathan
    family-names: metzman
    email: metzman@google.com
    affiliation: Google LLC
    orcid: 'https://orcid.org/0000-0002-7042-0444'
  - given-names: Martin
    family-names: Sablotny
    email: msablotny@nvidia.com
    affiliation: NVIDIA
    orcid: 'https://orcid.org/0000-0002-9836-8254'
  - given-names: Mihai
    family-names: Maruseac
    email: mihaimaruseac@google.com
    affiliation: Google LLC
    orcid: 'https://orcid.org/0000-0002-6225-1206'
repository-code: 'https://github.com/google/oss-fuzz-gen'
url: >-
  https://security.googleblog.com/2023/08/ai-powered-fuzzing-breaking-bug-hunting.html
abstract: >-
  OSS-Fuzz-Gen, an innovative open-source project developed
  by Google, automates fuzz target generation to enhance
  software security and reliability. Utilizing advanced
  techniques, including large language models (LLM), static
  code analysis, and runtime crash diagnosis, this project
  efficiently creates and optimizes fuzz targets. These
  efforts increase code coverage and identify
  vulnerabilities within open-source projects. We actively
  encourage and support collaborations with the research and
  open-source communities, offering our services at no cost.
keywords:
  - Fuzzing
  - Fuzz target generation
  - Large Language Models
  - Open-source
  - Code analysis
  - Software security
license: Apache-2.0
version: 'https://github.com/google/oss-fuzz-gen/tree/v1.0'
date-released: '2024-05-02'