… such scenarios, we argue that the trade-off between privacy and utility can be greatly … propose a variant of local differentialprivacy based on the notion of dX -privacy intoduced in [19]. …
M Pannekoek, G Spigler - arXiv preprint arXiv:2102.05975, 2021 - arxiv.org
… This paper investigates the privacy-utilityfairness trade-off in neural … for privacy (ǫ, δ), fairness (risk difference), and utility (accuracy). In the scenario with the highest considered privacy …
… -variance trade-offs, the one studied in this paper is quite specific to differentialprivacy: it … The difficulties associated with sensitivity bounding are well-known in the differentialprivacy …
… of including differentialprivacy … of privacy, we propose an external differentialprivacy mechanism that injects the minimum amount of noise to ensure a desired (ϵ, δ)-differentialprivacy. …
… in different contexts in isolation, but have suboptimal privacy/performance tradeoffs for visual tasks. … However, centering the regularizer is critical in differentialprivacy, as we prove in the …
X Yao, X Zhou, J Ma - … Conference on Big Data Security on …, 2016 - ieeexplore.ieee.org
… differentialprivacy. In this survey, we review and re-examine those new improvements of the differentialprivacy … for achieving a better trade-off between the privacy and utility of the …
… seek to better explore the tradeoff between privacy and utility by … We explore a class of definitions called Blowfish privacy. In … differentialprivacy mechanisms to satisfy Blowfish privacy, …
… privacy budget. In addition, we provide an in-depth analysis of the results with a focus on the privacy-utility trade-off… and challenges of word-level DifferentialPrivacy, and accordingly, we …
C Wang, B Su, J Ye, R Shokri… - Advances in Neural …, 2024 - proceedings.neurips.cc
… on differentialprivacy was proposed in [43]. More recently, [14] established f-DP for differential privacy where the privacy is measured by the trade-off function of type I and type II errors. …