Stochastic Perturbation Averaging Boosts Transferability of Adversarial Examples

Rongbo Yang, Qianmu Li, Shunmei Meng. Stochastic Perturbation Averaging Boosts Transferability of Adversarial Examples. In 10th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2023, Thessaloniki, Greece, October 9-13, 2023. pages 1-7, IEEE, 2023. [doi]

@inproceedings{YangLM23-5,
  title = {Stochastic Perturbation Averaging Boosts Transferability of Adversarial Examples},
  author = {Rongbo Yang and Qianmu Li and Shunmei Meng},
  year = {2023},
  doi = {10.1109/DSAA60987.2023.10302511},
  url = {https://doi.org/10.1109/DSAA60987.2023.10302511},
  researchr = {https://researchr.org/publication/YangLM23-5},
  cites = {0},
  citedby = {0},
  pages = {1-7},
  booktitle = {10th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2023, Thessaloniki, Greece, October 9-13, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-4503-2},
}