Single-Component Privacy Guarantees in Helper Data Systems and Sparse Coding with Ambiguation

@article{Razeghi2019SingleComponentPG,
  title={Single-Component Privacy Guarantees in Helper Data Systems and Sparse Coding with Ambiguation},
  author={Behrooz Razeghi and Taras Stanko and Boris {\vS}kori{\'c} and Slava Voloshynovskiy},
  journal={2019 IEEE International Workshop on Information Forensics and Security (WIFS)},
  year={2019},
  pages={1-6}
}
  • Behrooz Razeghi, Taras Stanko, +1 author Slava Voloshynovskiy
  • Published 2019
  • Computer Science, Mathematics
  • 2019 IEEE International Workshop on Information Forensics and Security (WIFS)
  • We investigate the privacy of two approaches to (biometric) template protection: Helper Data Systems and Sparse Ternary Coding with Ambiguation. In particular, we focus on a privacy property that is often overlooked, namely how much leakage exists about one specific binary property of one component of the feature vector. This property is e.g. the sign or an indicator that a threshold is exceeded.We provide evidence that both approaches are able to protect such sensitive binary variables, and… CONTINUE READING

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