- Title Information
- Title
- Privacy and Machine Learning in Physical Security
- Abstract
-
This paper examines at common machine learning applications in the physical security environment which collect data and what that means in light of GDPR by 1) providing general machine learning and vulnerability understanding, 2) examining intelligent systems in physical security, 3) investigating existing privacy standards in ML and, 4) evaluating regulatory implications on applied ML for enhanced physical security.
We conclude this paper by providing a checklist of potential privacy violations of machine learning models during the process of data collection mapped to GDPR articles, to allow businesses to assess their need for privacy-preserving measures when enhancing their physical security posture through ML.
- Name
- Name Part
- Petek Unsal, Saniye
- Role
- Role Term (marcrelator)
(authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/cre")
- Creator
- Name:
Personal
- Name Part
- Freedman, Linn
- Role
- Role Term:
Text
- Advisor
- Name:
Corporate
- Name Part
-
Brown University. School of Professional Studies. Department of Computer Science
- Role
- Role Term:
Text
- Sponsor
- Origin Information
- Copyright Date
- 2019
- Physical Description
- Extent
- 48 p.
- digitalOrigin
- born digital
- Note:
Capstone
- Capstone (EMCS)--Brown University, 2019
- Subject (fast)
(authorityURI="http://id.worldcat.org/fast/872484", valueURI="http://id.worldcat.org/fast/1033711")
- Topic
- Computer security
- Subject (Local)
- Topic
- Machine learning
- Subject (Local)
- Topic
- Artifical Intelligence
- Subject (Local)
- Topic
- Deep learning
- Subject (Local)
- Topic
- Physical security
- Subject (Local)
- Topic
- Privacy
- Subject (Local)
- Topic
- General Data Protection Regulation
- Type of Resource
- text
- Genre
- Critical Challenge Project
- Access Condition:
rights statement
(href="http://rightsstatements.org/vocab/InC/1.0/")
- In Copyright
- Access Condition:
restriction on access
- All rights reserved. Collection is open for research.
- Language
- Language Term (ISO639-2B)
- English
- Record Information
- Record Content Source (marcorg)
- RPB
- Record Creation Date
(encoding="iso8601")
- 20100429
- Identifier:
DOI
- 10.26300/ttky-m531