gRoMA: A Tool for Measuring the Global Robustness of Deep Neural Networks

Natan Levy, Raz Yerushalmi, Guy Katz. gRoMA: A Tool for Measuring the Global Robustness of Deep Neural Networks. In Bernhard Steffen, editor, Bridging the Gap Between AI and Reality - First International Conference, AISoLA 2023, Crete, Greece, October 23-28, 2023, Proceedings. Volume 14380 of Lecture Notes in Computer Science, pages 160-170, Springer, 2023. [doi]

@inproceedings{LevyYK23,
  title = {gRoMA: A Tool for Measuring the Global Robustness of Deep Neural Networks},
  author = {Natan Levy and Raz Yerushalmi and Guy Katz},
  year = {2023},
  doi = {10.1007/978-3-031-46002-9_9},
  url = {https://doi.org/10.1007/978-3-031-46002-9_9},
  researchr = {https://researchr.org/publication/LevyYK23},
  cites = {0},
  citedby = {0},
  pages = {160-170},
  booktitle = {Bridging the Gap Between AI and Reality - First International Conference, AISoLA 2023, Crete, Greece, October 23-28, 2023, Proceedings},
  editor = {Bernhard Steffen},
  volume = {14380},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-46002-9},
}