Jan 13, 2020 · We assess the security of machine learning based biometric authentication systems against an attacker who submits uniform random inputs.
Jan 24, 2020 · Abstract—We assess the security of machine learning based biometric authentication systems against an attacker who submits uniform random ...
Jan 13, 2020 · It is shown that the success rate of an attacker who submits uniform random inputs, either as feature vectors or raw inputs, ...
We assess the security of machine learning based biometric authentication systems against an attacker who submits uniform random inputs, either as feature ...
What is the Random Input Attacker? • How we evaluate a Random Input Attacker's Success. • Are Random Input Attacker successful on real-world datasets?
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Apr 12, 2023 · On the resilience of biometric authentication systems against random inputs. In Proceedings of the Network and Distributed Systems Security ...
Title. On the Resilience of Biometric Authentication Systems against Random Inputs ; Author. Zhao, Benjamin Zi HaoAsghar, Hassan JameelKaafar, ...
Co-authors ; On the Resilience of Biometric Authentication Systems against Random Inputs. BZH Zhao, HJ Asghar, MA Kaafar. Network and Distributed System Security ...
On the resilience of biometric authentication systems against random inputs. In Proceedings of the Network and Distributed Systems Security Symposium (NDSS'20).
On the Resilience of Biometric Authentication Systems against Random Inputs. Preprint. Jan 2020. Benjamin Zi Hao Zhao ...