School of Electrical and Electronic Engineering (EEE)

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3,631 to 3,640 of 3,953 Results

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"
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
source code.tar.gz Feb 28, 2020 - Replication Data for: Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection Gzip Archive - 13.2 KB - MD5: b0f06825beb719deb87714d1ff18d6d4
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".
DTmobilenet.ipynb Feb 28, 2020 - Replication Data for: Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs Jupyter Notebook - 22.5 KB - MD5: e80222aa040cbd0b9084dfb65d9f8109 source code to generate decision tree for mobilenet
DTvgg16.ipynb Feb 28, 2020 - Replication Data for: Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs Jupyter Notebook - 35.7 KB - MD5: 410ad43334e820a53dea170b0a697ac6 source code to generate decision tree for vgg16
ISCASdata.tar.gz Feb 28, 2020 - Replication Data for: Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs Gzip Archive - 492.6 MB - MD5: 1ef6e12ff2681bb29237cb3f419a89a7
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...
NVMspice_linux_32_bit.tar.gz Feb 20, 2020 - Design validation tool for CMOS-NVM Gzip Archive - 2.1 MB - MD5: 3cc5b716fa5df6e4d197485bc2d9861c 32bit library for nvmspice
NVMspice_linux_64_bit.tar.gz Feb 20, 2020 - Design validation tool for CMOS-NVM Gzip Archive - 2.4 MB - MD5: 659df1de1cc3a3ce7202816da0cb6144 64bit library for nvmspice

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"

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 -

source code.tar.gz

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

Gzip Archive - 13.2 KB -

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".

DTmobilenet.ipynb

Feb 28, 2020 - Replication Data for: Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs

Jupyter Notebook - 22.5 KB -

source code to generate decision tree for mobilenet

DTvgg16.ipynb

Feb 28, 2020 - Replication Data for: Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs

Jupyter Notebook - 35.7 KB -

source code to generate decision tree for vgg16

ISCASdata.tar.gz

Feb 28, 2020 - Replication Data for: Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs

Gzip Archive - 492.6 MB -

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...

NVMspice_linux_32_bit.tar.gz

Feb 20, 2020 - Design validation tool for CMOS-NVM

Gzip Archive - 2.1 MB -

32bit library for nvmspice

NVMspice_linux_64_bit.tar.gz

Feb 20, 2020 - Design validation tool for CMOS-NVM

Gzip Archive - 2.4 MB -

64bit library for nvmspice

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