Results 41 to 50 of about 64,907 (298)
Privacy-Preserving Bin-Packing With Differential Privacy
IEEE Open Journal of Signal Processing, 2022 With the emerging of e-commerce, package theft is at a high level: It is reported that 1.7 million packages are stolen or lost every day in the U.S. in 2020, which costs $25 million every day for the lost packages and the service.
Tianyu Li +2 more
doaj +1 more source
Differential Privacy at Risk: Bridging Randomness and Privacy Budget [PDF]
, 2021 International audienceThe calibration of noise for a privacy-preserving mechanism depends on the sensitivity of the query and the prescribed privacy level.
Dandekar, Ashish +2 more
core +1 more source
Liftings for Differential Privacy
CoRR, 2017 Recent developments in formal verification have identified approximate liftings (also known as approximate couplings) as a clean, compositional abstraction for proving differential privacy. There are two styles of definitions for this construction. Earlier definitions require the existence of one or more witness distributions, while a recent definition
Gilles Barthe +4 more
openaire +5 more sources
Randomized Privacy Budget Differential Privacy
CoRR, 2022 arXiv admin note: text overlap with arXiv:2009 ...
openaire +2 more sources
Differential Privacy By Sampling
CoRR, 2017 In this paper we present the Sampling Privacy mechanism for privately releasing personal data. Sampling Privacy is a sampling based privacy mechanism that satisfies differential privacy.
Josh Joy, Mario Gerla
openaire +2 more sources
Combinational Randomized Response Mechanism for Unbalanced Multivariate Nominal Attributes
IEEE Access, 2020 At present, many enterprises provide users with better services by collecting their sensitive information. However, these enterprises will inevitably cause the leakage of users' information, thereby infringing on users' privacy.
Xuejie Feng +3 more
doaj +1 more source
Lemmas of Differential Privacy
CoRR, 2022 We aim to collect buried lemmas that are useful for proofs. In particular, we try to provide self-contained proofs for those lemmas and categorise them according to their usage.
Yiyang Huang, Clément L. Canonne
openaire +2 more sources
Proceedings of the AAAI Conference on Artificial Intelligence, 2022 Many data applications have certain invariant constraints due to practical needs. Data curators who employ differential privacy need to respect such constraints on the sanitized data product as a primary utility requirement. Invariants challenge the formulation, implementation, and interpretation of privacy guarantees.
Jie Gao 0001, Ruobin Gong, Fang-Yi Yu
openaire +2 more sources
Differential Privacy in Practice: Expose your Epsilons!
The Journal of Privacy and Confidentiality, 2019 Differential privacy is at a turning point. Implementations have been successfully leveraged in private industry, the public sector, and academia in a wide variety of applications, allowing scientists, engineers, and researchers the ability to learn ...
Cynthia Dwork +2 more
doaj +1 more source
, 2023 Advancements in Vehicular ad-hoc Network (VANET) technology have led to a growing network of interconnected devices, including edge devices, resulting in substantial data generation.
Khan, A. +5 more
core +1 more source