Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ron Shmelkin"'
Publikováno v:
SoftwareX, Vol 22, Iss , Pp 101352- (2023)
The need to analyse personal data to drive business alongside the requirement to preserve the privacy of data subjects creates a known tension. Data protection regulations such as GDPR and CCPA define strict restrictions and obligations on the collec
Externí odkaz:
https://doaj.org/article/40482533fc9e4bbea78db1146c0eb3e9
A master face is a face image that passes face-based identity authentication for a high percentage of the population. These faces can be used to impersonate, with a high probability of success, any user, without having access to any user information.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e618c94df8687d1033f57972a53a86f8
http://arxiv.org/abs/2211.13964
http://arxiv.org/abs/2211.13964
Publikováno v:
Studies in health technology and informatics. 294
Regulations set out strict restrictions on processing personal data. ML models must also adhere to these restrictions, as it may be possible to infer personal information from trained models. In this paper, we demonstrate the use of two novel AI Priv
Regulations set out strict restrictions on processing personal data. ML models must also adhere to these restrictions, as it may be possible to infer personal information from trained models. In this paper, we demonstrate the use of two novel AI Priv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86490a1f596325fd80b51523d657252c
https://doi.org/10.3233/shti220410
https://doi.org/10.3233/shti220410
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030939434
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfca835a63fcbebdbde30111968ea324
https://doi.org/10.1007/978-3-030-93944-1_8
https://doi.org/10.1007/978-3-030-93944-1_8
A master face is a face image that passes face-based identity-authentication for a large portion of the population. These faces can be used to impersonate, with a high probability of success, any user, without having access to any user-information. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dac836546378f3322e72f47cd77c5613
http://arxiv.org/abs/2108.01077
http://arxiv.org/abs/2108.01077
The EU General Data Protection Regulation (GDPR) and the California Privacy Rights Act (CPRA) mandate the principle of data minimization, which requires that only data necessary to fulfill a certain purpose be collected. However, it can often be diff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acb46aa7365db31d14eac20a896f3615
Publikováno v:
NOMS
Our work describes a unique alarm recognition scheme for smart cars and smart homes that recognizes several alarm sound categories such as a police alarm or ambulance alarm while driving, or smoke or gas alarms while at home. This system is essential