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Mission: DR-NTU (Data) curates, stores, preserves, makes available and enables the download of digital data generated by the NTU research community. The repository develops and provides guidance for managing, sharing, and reusing research data to promote responsible data sharing in support of open science and research integrity.

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69,361 to 69,370 of 73,632 Results
U4.tab
Feb 28, 2020 - Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers
Tabular Data - 78.9 KB - 101 Variables, 200 Observations - UNF:6:6vwigEWL4RWpCoKxAk+5yA==
U4transposed.csv
Feb 28, 2020 - Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers
Comma Separated Values - 2.1 MB - MD5: c01d32aa1e6fc2db20d31f16e81a6512
Uniqueness1.csv
Feb 28, 2020 - Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers
Comma Separated Values - 357.3 KB - MD5: f7b2801f2fb7f8417ceebd26357b78d9
uniqueness (2).jpg
uniqueness (2).jpg
Feb 28, 2020 - Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers
JPEG Image - 22.8 KB - MD5: 77126a933a11fbf5a6142e32e760c2ce
uniqueness.fig
Feb 28, 2020 - Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers
MATLAB Figure - 27.5 KB - MD5: 9a75e350feef4ab0cdd1eba1d8cb6fa1
UP_128_0.5.tab
Feb 28, 2020 - Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers
Tabular Data - 134.0 KB - 128 Variables, 268 Observations - UNF:6:ImOsntfOMHJhdh+ISdShiA==
UP_50_0.68.tab
Feb 28, 2020 - Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers
Tabular Data - 25.2 KB - 50 Variables, 129 Observations - UNF:6:EL+MKldgYBxqVyowTq0b3g==
UPtry.tab
Feb 28, 2020 - Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers
Tabular Data - 24.5 KB - 128 Variables, 49 Observations - UNF:6:McYqKK3mHv2Oi3aTM/IqfQ==
ZTC.tab
Feb 28, 2020 - Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers
Tabular Data - 273 B - 8 Variables, 7 Observations - UNF:6:JhNNKeLXrjJsTHkRnMWmXg==
Replication Data for: Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection
Feb 28, 2020 - WANG Si
Wang, Si, 2020, "Replication Data for: Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection", https://doi.org/10.21979/N9/WCIL7X, DR-NTU (Data), V1
This dataset contains the program source code, model file and experimental data for analysis of the paper "Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection"
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