Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Garrido, Gonzalo Munilla"'
As information economies burgeon, they unlock innovation and economic wealth while posing novel threats to civil liberties and altering power dynamics between individuals, companies, and governments. Legislatures have reacted with privacy laws design
Externí odkaz:
http://arxiv.org/abs/2312.01511
Autor:
Hu, Yuzheng, Wu, Fan, Li, Qinbin, Long, Yunhui, Garrido, Gonzalo Munilla, Ge, Chang, Ding, Bolin, Forsyth, David, Li, Bo, Song, Dawn
As the prevalence of data analysis grows, safeguarding data privacy has become a paramount concern. Consequently, there has been an upsurge in the development of mechanisms aimed at privacy-preserving data analyses. However, these approaches are task
Externí odkaz:
http://arxiv.org/abs/2307.02106
Publikováno v:
24th Privacy Enhancing Technologies Symposium (2024) 21-40
The adoption of virtual reality (VR) technologies has rapidly gained momentum in recent years as companies around the world begin to position the so-called "metaverse" as the next major medium for accessing and interacting with the internet. While co
Externí odkaz:
http://arxiv.org/abs/2301.05940
Since its introduction in 2006, differential privacy has emerged as a predominant statistical tool for quantifying data privacy in academic works. Yet despite the plethora of research and open-source utilities that have accompanied its rise, with lim
Externí odkaz:
http://arxiv.org/abs/2211.03898
Autor:
Garrido, Gonzalo Munilla, Schmidt, Kaja, Harth-Kitzerow, Christopher, Klepsch, Johannes, Luckow, Andre, Matthes, Florian
Publikováno v:
2021 IEEE International Conference on Big Data (Big Data)
Privacy-enhancing technologies (PETs) are becoming increasingly crucial for addressing customer needs, security, privacy (e.g., enhancing anonymity and confidentiality), and regulatory requirements. However, applying PETs in organizations requires a
Externí odkaz:
http://arxiv.org/abs/2209.05085
Publikováno v:
36th Annual ACM Symposium on User Interface Software and Technology (2023)
Virtual reality (VR) telepresence applications and the so-called "metaverse" promise to be the next major medium of human-computer interaction. However, with recent studies demonstrating the ease at which VR users can be profiled and deanonymized, me
Externí odkaz:
http://arxiv.org/abs/2208.05604
Publikováno v:
23rd Privacy Enhancing Technologies Symposium (2023) 238-256
Fifty study participants playtested an innocent-looking "escape room" game in virtual reality (VR). Within just a few minutes, an adversarial program had accurately inferred over 25 of their personal data attributes, from anthropometrics like height
Externí odkaz:
http://arxiv.org/abs/2207.13176
Harmful repercussions from sharing sensitive or personal data can hamper institutions' willingness to engage in data exchange. Thus, institutions consider Authenticity Enhancing Technologies (AETs) and Privacy-Enhancing Technologies (PETs) to engage
Externí odkaz:
http://arxiv.org/abs/2207.01513
Analyses that fulfill differential privacy provide plausible deniability to individuals while allowing analysts to extract insights from data. However, beyond an often acceptable accuracy tradeoff, these statistical disclosure techniques generally in
Externí odkaz:
http://arxiv.org/abs/2206.07220
An edge computing marketplace could enable IoT devices (Outsourcers) to outsource computation to any participating node (Contractors) in their proximity. In return, these nodes receive a reward for providing computation resources. In this work, we pr
Externí odkaz:
http://arxiv.org/abs/2203.12347