VIRTUS, IC Design Centre of Excellence

VIRTUS, the IC design centre of Excellence is jointly funded by Nanyang Technological University (NTU) and Singapore Economic Development Board (EDB). Since its inception five years ago, the centre has a strong support from the industry with close collaboration with leading IC Design companies in Singapore and universities worldwide.

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1 to 9 of 9 Results

Related Data for: A New Lightweight In Situ Adversarial Sample Detector for Edge Deep Neural Network Oct 16, 2024 - WANG Si Wang, Si; Liu, Wenye; Chang, Chip-Hong, 2024, "Related Data for: A New Lightweight In Situ Adversarial Sample Detector for Edge Deep Neural Network", https://doi.org/10.21979/N9/8LWB8D, DR-NTU (Data), V1 This dataset contains shell scripts for configurable glitch injection through GPIO as well as the decision tree detector. It also contains partial program source code for glitch control and the corresponding generated bitstream.
Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach Oct 16, 2024 - WANG Si Wang, Si; Chang, Chip Hong, 2024, "Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach", https://doi.org/10.21979/N9/ZDWQLI, DR-NTU (Data), V1, UNF:6:SczDG/K0h5MoF1viJWM7Pg== [fileUNF] This dataset contains partial program source code and the data for analysis for the paper "Fingerprinting Deep Neural Networks - a DeepFool Approach"
WANG Si (Nanyang Technological University) Jul 18, 2024 Appointment: Research Fellow
Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers Feb 28, 2020 - WANG Si Wang, Si, 2020, "Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers", https://doi.org/10.21979/N9/MWVFNO, DR-NTU (Data), V1, UNF:6:GTgHLjDPINshZKfoch7QwQ== [fileUNF] This dataset contains partial program source code and the data for analysis for the paper "A Low-power Reliability Enhanced Arbiter Physical Unclonable Function"
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"
Replication Data for: Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs Feb 28, 2020 - WANG Si Wang, Si, 2020, "Replication Data for: Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs", https://doi.org/10.21979/N9/YPY0EB, DR-NTU (Data), V1 This dataset contains model file, program source code and the experimental data for the analysis of the paper " Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs".
Design validation tool for CMOS-NVM Feb 20, 2020 - Liu Wenye Wang, Yuhao; Ni, Leibin; Chang, Chiphong; Yu, Hao, 2020, "Design validation tool for CMOS-NVM", https://doi.org/10.21979/N9/ETYMHM, DR-NTU (Data), V1 NVMspice is introduced based on recent new modified nodal analysis (MNA) framework, which can effectively support the non-conventional state variables. As such, NVM devices can be stamped into state matrix similarly as one BSIM MOSFET. Compared with equivalent circuit simulation...
Liu Wenye(Nanyang Technological University) Feb 20, 2020 Appointment: PhD student
Kong Lingshan(Nanyang Technological University) Apr 3, 2019 Appointment: Project Officer (Former)

Related Data for: A New Lightweight In Situ Adversarial Sample Detector for Edge Deep Neural Network

Oct 16, 2024 - WANG Si

Wang, Si; Liu, Wenye; Chang, Chip-Hong, 2024, "Related Data for: A New Lightweight In Situ Adversarial Sample Detector for Edge Deep Neural Network", https://doi.org/10.21979/N9/8LWB8D, DR-NTU (Data), V1

This dataset contains shell scripts for configurable glitch injection through GPIO as well as the decision tree detector. It also contains partial program source code for glitch control and the corresponding generated bitstream.

Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach

Oct 16, 2024 - WANG Si

Wang, Si; Chang, Chip Hong, 2024, "Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach", https://doi.org/10.21979/N9/ZDWQLI, DR-NTU (Data), V1, UNF:6:SczDG/K0h5MoF1viJWM7Pg== [fileUNF]

This dataset contains partial program source code and the data for analysis for the paper "Fingerprinting Deep Neural Networks - a DeepFool Approach"

WANG Si (Nanyang Technological University)

Jul 18, 2024

Appointment: Research Fellow

Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers

Feb 28, 2020 - WANG Si

Wang, Si, 2020, "Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers", https://doi.org/10.21979/N9/MWVFNO, DR-NTU (Data), V1, UNF:6:GTgHLjDPINshZKfoch7QwQ== [fileUNF]

This dataset contains partial program source code and the data for analysis for the paper "A Low-power Reliability Enhanced Arbiter Physical Unclonable Function"

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"

Replication Data for: Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs

Feb 28, 2020 - WANG Si

Wang, Si, 2020, "Replication Data for: Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs", https://doi.org/10.21979/N9/YPY0EB, DR-NTU (Data), V1

This dataset contains model file, program source code and the experimental data for the analysis of the paper " Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs".

Design validation tool for CMOS-NVM

Feb 20, 2020 - Liu Wenye

Wang, Yuhao; Ni, Leibin; Chang, Chiphong; Yu, Hao, 2020, "Design validation tool for CMOS-NVM", https://doi.org/10.21979/N9/ETYMHM, DR-NTU (Data), V1

NVMspice is introduced based on recent new modified nodal analysis (MNA) framework, which can effectively support the non-conventional state variables. As such, NVM devices can be stamped into state matrix similarly as one BSIM MOSFET. Compared with equivalent circuit simulation...

Liu Wenye(Nanyang Technological University)

Feb 20, 2020

Appointment: PhD student

Kong Lingshan(Nanyang Technological University)

Apr 3, 2019

Appointment: Project Officer (Former)

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