Approxiot: Approximate analytics for edge computing
IoT-enabled devices continue to generate a massive amount of data. Transforming this
continuously arriving raw data into timely insights is critical for many modern online services …
continuously arriving raw data into timely insights is critical for many modern online services …
{PrivApprox}:{Privacy-Preserving} Stream Analytics
PrivApprox: Privacy-Preserving Stream Analytics Page 1 This paper is included in the
Proceedings of the 2017 USENIX Annual Technical Conference (USENIX ATC ’17). July 12–14 …
Proceedings of the 2017 USENIX Annual Technical Conference (USENIX ATC ’17). July 12–14 …
Privacy preserving large language models: Chatgpt case study based vision and framework
The generative Artificial Intelligence (AI) tools based on Large Language Models (LLMs) use
billions of parameters to extensively analyse large datasets and extract critical private …
billions of parameters to extensively analyse large datasets and extract critical private …
[HTML][HTML] A novel privacy preserving method for data publication
Privacy has received increasing concerns in publication of datasets that contain sensitive
information. Preventing privacy disclosure and providing useful information to legitimate …
information. Preventing privacy disclosure and providing useful information to legitimate …
Integrating technical and legal concepts of privacy
A Sokolovska, L Kocarev - Ieee Access, 2018 - ieeexplore.ieee.org
We provide an overview of legal and technical concepts of privacy protection. Data
protection guarantees exist in European Union at a primary law level since 2009, when the …
protection guarantees exist in European Union at a primary law level since 2009, when the …
Approxjoin: Approximate distributed joins
A distributed join is a fundamental operation for processing massive datasets in parallel.
Unfortunately, computing an equi-join over such datasets is very resource-intensive, even …
Unfortunately, computing an equi-join over such datasets is very resource-intensive, even …
Data science and Machine learning in the Clouds: A Perspective for the Future
HB Barua - arXiv preprint arXiv:2109.01661, 2021 - arxiv.org
As we are fast approaching the beginning of a paradigm shift in the field of science, Data
driven science (the so called fourth science paradigm) is going to be the driving force in …
driven science (the so called fourth science paradigm) is going to be the driving force in …
A Novel Hybrid Approach of Suppression and Randomization for Privacy Preserving Data Mining.
In the era of technology advancement, knowledge extraction from large amount of data is
very much important task. The process of data mining is applied to get the useful information …
very much important task. The process of data mining is applied to get the useful information …
[HTML][HTML] A general framework for privacy-preserving of data publication based on randomized response techniques
Privacy preserving is a paramount concern in publishing datasets that contain sensitive
information. Preventing privacy disclosure and providing useful information to legitimate …
information. Preventing privacy disclosure and providing useful information to legitimate …
Towards multiple pattern type privacy protection in complex event processing through event obfuscation strategies
SM Palanisamy - … : ESORICS 2020 International Workshops, DPM 2020 …, 2020 - Springer
Abstract For a Complex Event Processing (CEP) system to be widely accepted, mitigating
leaks of private information is paramount. In CEP systems, often private information are …
leaks of private information is paramount. In CEP systems, often private information are …