WANG Si

Appointment: Research Fellow

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

1,171 to 1,180 of 1,185 Results

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 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, 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"
AsianHOSTdata.tar.gz Feb 28, 2020 - Replication Data for: Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection Gzip Archive - 1022.9 MB - MD5: de6cf304780bdf5cd3f5e7744d2bd987

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 -

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 -

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 -

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 -

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 -

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 -

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 -

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 -

Replication Data for: Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection

Feb 28, 2020

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"

AsianHOSTdata.tar.gz

Feb 28, 2020 - Replication Data for: Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection

Gzip Archive - 1022.9 MB -

Add Data

Share Dataverse

Link Dataverse

Reset Modifications