I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Legal Risks of Adversarial Machine Learning Research:
Siva Kumar, Ram Shankar
;
Penney, Jon
;
Schneier, Bruce
.
International Conference on Machine Learning (ICML) 2020 Workshop on Law & Machine Learning. , 2020
Link:
https://ssrn.com/abstract=3642779
RT Journal T1 <Title>Legal Risks of Adversarial Machine Learning Research</Title> UL https://suche.suub.uni-bremen.de/peid=ssrn-3642779&Exemplar=1&LAN=DE A1 Siva Kumar, Ram Shankar A1 Penney, Jon A1 Schneier, Bruce A1 Albert, Kendra YR 2020 K1 Adversarial machine learning K1 security K1 machine learning K1 artificial intelligence K1 law K1 AI K1 computer fraud and abuse act K1 CFAA K1 legal risks K1 chilling effects K1 ML JF International Conference on Machine Learning (ICML) 2020 Workshop on Law & Machine Learning LK http://dx.doi.org/https://ssrn.com/abstract=3642779 DO https://ssrn.com/abstract=3642779 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
