Replication Data for: Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection (doi:10.21979/N9/WCIL7X)

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Part 1: Document Description
Part 2: Study Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

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

Identification Number:

doi:10.21979/N9/WCIL7X

Distributor:

DR-NTU (Data)

Date of Distribution:

2020-02-28

Version:

1

Bibliographic Citation:

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

Study Description

Citation

Title:

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

Identification Number:

doi:10.21979/N9/WCIL7X

Authoring Entity:

Wang, Si (Nanyang Technological University)

Software used in Production:

MatCaffe

Grant Number:

AcRF Tier 2 Grant No MOE-2015-T2-2-013

Distributor:

DR-NTU (Data)

Access Authority:

Wang Si

Depositor:

Wang Si

Date of Deposit:

2020-02-19

Holdings Information:

https://doi.org/10.21979/N9/WCIL7X

Study Scope

Keywords:

Engineering, Engineering, deep learning security

Abstract:

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"

Kind of Data:

textual data

Kind of Data:

experimental data

Kind of Data:

program source code

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Related Publications

Citation

Identification Number:

10.1109/AsianHOST47458.2019.9006702

Bibliographic Citation:

Wang, S., Liu, W., & Chang, C. H. (2019). Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection. In 2019 Asian Hardware Oriented Security and Trust Symposium (AsianHOST) (pp. 1-6). IEEE.

Citation

Identification Number:

10356/137128

Bibliographic Citation:

Wang, S., Liu, W., & Chang, C. H. (2019). Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection. In 2019 Asian Hardware Oriented Security and Trust Symposium (AsianHOST) (pp. 1-6). IEEE.

Other Study-Related Materials

Label:

AsianHOSTdata.tar.gz

Notes:

application/gzip

Other Study-Related Materials

Label:

source code.tar.gz

Notes:

application/gzip