Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Andreas Haeberlen"'
Autor:
Gilles Barthe, Christos Dimitrakakis, Marco Gaboardi, Andreas Haeberlen, Aaron Roth, Aleksandra B Slavković
Publikováno v:
The Journal of Privacy and Confidentiality, Vol 9, Iss 1 (2019)
The Theory and Practice of Differential Privacy workshop (TPDP 2016) was held in New York City, NY, USA on 23 June 2016 as part of ICML 2016. This is the program.
Externí odkaz:
https://doaj.org/article/88a8c00643dd484aba2587243ba8d803
Publikováno v:
SOSP
This paper introduces Mycelium, the first system to process differentially private queries over large graphs that are distributed across millions of user devices. Such graphs occur, for instance, when tracking the spread of diseases or malware. Today
Publikováno v:
Proceedings of the ACM on Programming Languages. 3:1-28
Curators of sensitive datasets sometimes need to know whether queries against the data are differentially private . Two sorts of logics have been proposed for checking this property: (1) type systems and other static analyses, which fully automate st
Publikováno v:
RTAS
Modern latency-sensitive and real-time systems often use multi-core platforms; thus, tasks on different cores share certain hardware resources, such as the memory bus and certain cache levels. This has two undesirable consequences: (1) tasks can inte
Publikováno v:
EuroSys
This paper shows how to use bounded-time recovery (BTR) to defend distributed systems against non-crash faults and attacks. Unlike many existing fault-tolerance techniques, BTR does not attempt to completely mask all symptoms of a fault; instead, it
Applying differential privacy at scale requires convenient ways to check that programs computing with sensitive data appropriately preserve privacy. We propose here a fully automated framework for testing differential privacy, adapting a well-known
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b302c0ed70a11c8c938f00a9ed296ec
http://arxiv.org/abs/2010.04126
http://arxiv.org/abs/2010.04126
Publikováno v:
RTAS
This paper explores bounded-time recovery (BTR), a new approach to making cyber-physical systems robust to crash faults. Rather than trying to mask the symptoms of a fault with massive redundancy, BTR detects faults at runtime and enables the system
Publikováno v:
Proceedings of the ACM on Programming Languages. 1:1-29
Differential privacy is a widely studied theory for analyzing sensitive data with a strong privacy guarantee—any change in an individual's data can have only a small statistical effect on the result—and a growing number of programming languages n
Publikováno v:
SOSP
Recently, a number of systems have been deployed that gather sensitive statistics from user devices while giving differential privacy guarantees. One prominent example is the component in Apple's macOS and iOS devices that collects information about
Publikováno v:
HotOS
Today, distributed systems are typically designed to be largely asynchronous. Designers assume that the network can drop or significantly delay messages at unpredictable times, that there is no way to know how quickly a node might process a message,