Correlation Integral-Based Intrinsic Dimension: A Deep-Learning-Assisted Empirical Metric to Estimate the Robustness of Physically Unclonable Functions to Modeling Attacks

Pranesh Santikellur, Rajat Subhra Chakraborty. Correlation Integral-Based Intrinsic Dimension: A Deep-Learning-Assisted Empirical Metric to Estimate the Robustness of Physically Unclonable Functions to Modeling Attacks. IEEE Trans. on CAD of Integrated Circuits and Systems, 41(10):3216-3227, 2022. [doi]

@article{SantikellurC22,
  title = {Correlation Integral-Based Intrinsic Dimension: A Deep-Learning-Assisted Empirical Metric to Estimate the Robustness of Physically Unclonable Functions to Modeling Attacks},
  author = {Pranesh Santikellur and Rajat Subhra Chakraborty},
  year = {2022},
  doi = {10.1109/TCAD.2021.3129112},
  url = {https://doi.org/10.1109/TCAD.2021.3129112},
  researchr = {https://researchr.org/publication/SantikellurC22},
  cites = {0},
  citedby = {0},
  journal = {IEEE Trans. on CAD of Integrated Circuits and Systems},
  volume = {41},
  number = {10},
  pages = {3216-3227},
}