Towards Differentially Private Machine Learning Models and their Robustness To Adversaries

Towards Differentially Private Machine Learning Models and their Robustness To Adversaries

- -2022

Authors

Mancino Alberto Carlo Maria, Di Noia Tommaso

Download: _CAMERA_READY__ICWE_2022___Doctoral_Symposium.pdf

DOI

https://doi.org/

BibTex references

@Proceedings{MD22,
  editor       = "Mancino, Alberto Carlo Maria and Di Noia, Tommaso",
  title        = "Towards Differentially Private Machine Learning Models and their Robustness To Adversaries",
  year         = "2022",
  url          = "http://sisinflab.poliba.it/Publications/2022/MD22"

}