Results 291 to 300 of about 200,943 (331)
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2023
Der Privatsphärenschutz von persönlichen Informationen gegenüber Dienstbetreibern ist neben dem Absichern von modernen Client-Server-Anwendungen immer noch eine große Herausforderung für Softwareentwickler. Das Ableiten von Nutzerinnen-Informationen durch direkte und indirekte Datenanalysen ist weit verbreitet.
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Der Privatsphärenschutz von persönlichen Informationen gegenüber Dienstbetreibern ist neben dem Absichern von modernen Client-Server-Anwendungen immer noch eine große Herausforderung für Softwareentwickler. Das Ableiten von Nutzerinnen-Informationen durch direkte und indirekte Datenanalysen ist weit verbreitet.
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Proceedings of the 2005 ACM SIGMOD international conference on Management of data, 2005
We present techniques for privacy-preserving computation of multidimensional aggregates on data partitioned across multiple clients. Data from different clients is perturbed (randomized) in order to preserve privacy before it is integrated at the server. We develop formal notions of privacy obtained from data perturbation and show that our perturbation
Rakesh Agrawal 0001 +2 more
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We present techniques for privacy-preserving computation of multidimensional aggregates on data partitioned across multiple clients. Data from different clients is perturbed (randomized) in order to preserve privacy before it is integrated at the server. We develop formal notions of privacy obtained from data perturbation and show that our perturbation
Rakesh Agrawal 0001 +2 more
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Communications of the ACM, 2020
Can you answer a poll without revealing your true preferences and have the results of the poll still be accurate?
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Can you answer a poll without revealing your true preferences and have the results of the poll still be accurate?
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Privacy-Preserving Smart Metering
Proceedings of the 10th annual ACM workshop on Privacy in the electronic society, 2011Smart grid proposals threaten user privacy by potentially disclosing fine-grained consumption data to utility providers, primarily for time-of-use billing, but also for profiling, settlement, forecasting, tariff and energy efficiency advice. We propose a privacy-preserving protocol for general calculations on fine-grained meter readings, while keeping ...
Alfredo Rial, George Danezis
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Privacy-preserving deep learning
2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2015Deep learning based on artificial neural networks is a very popular approach to modeling, classifying, and recognizing complex data such as images, speech, and text. The unprecedented accuracy of deep learning methods has turned them into the foundation of new AI-based services on the Internet.
Reza Shokri, Vitaly Shmatikov
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Preserving security and privacy
IEEE Internet Computing, 2004At the "Computers, Freedom, and Privacy (CFP) Conference held in Berkeley, California, the spotlight was on the twin weights of national security and personal liberty - with technology the fulcrum on which all turns. It highlights included sessions devoted to the new international cybercrime treaty, a global crusade to spread technology to ...
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Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems, 2008
In order to provide context--aware Location--Based Services, real location data of mobile users must be collected and analyzed by spatio--temporal data mining methods. However, the data mining methods need precise location data, while the mobile users want to protect their location privacy.
Gyözö Gidófalvi +2 more
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In order to provide context--aware Location--Based Services, real location data of mobile users must be collected and analyzed by spatio--temporal data mining methods. However, the data mining methods need precise location data, while the mobile users want to protect their location privacy.
Gyözö Gidófalvi +2 more
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Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019
The goals of learning from user data and preserving user privacy are often considered to be in conflict. This presentation will demonstrate that there are contexts when provable privacy guarantees can be an enabler for better web search and data mining (WSDM), and can empower researchers hoping to change the world by mining sensitive user data.
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The goals of learning from user data and preserving user privacy are often considered to be in conflict. This presentation will demonstrate that there are contexts when provable privacy guarantees can be an enabler for better web search and data mining (WSDM), and can empower researchers hoping to change the world by mining sensitive user data.
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Privacy-Preserving Trust Negotiations
2005Trust negotiation is a promising approach for establishing trust in open systems, where sensitive interactions may often occur between entities with no prior knowledge of each other. Although several proposals today exist of systems for the management of trust negotiations none of them addresses in a comprehensive way the problem of privacy ...
ELISA BERTINO +2 more
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On Privacy-Preserving Cloud Auction
2016 IEEE 35th Symposium on Reliable Distributed Systems (SRDS), 2016Due to perceived fairness and allocation efficiency, cloud auctions for resource allocation and pricing have recently attracted significant attention. As an important economic property, truthfulness makes bidders reveal their true valuations for cloud resources to maximize their utilities.
Chen, Zhili +3 more
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