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A survey on privacy of personal and non-personal data in B5G/6G networks

The upcoming Beyond 5G (B5G) and 6G networks are expected to provide enhanced capabilities such asultra-high data rates, dense connectivity, and high scalability. It opens many possibilities for a new generation of services driven by Artificial Intelligence (AI) and billions of interconnected smart devices. However, with this expected massive upgrade, the privacy of people, organizations, […]

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model poison decision boundary shift

SHERPA: Explainable Robust Algorithms for Privacy-Preserved Federated Learning in Future Networks to Defend Against Data Poisoning Attacks

With the rapid progression of communication and localisation of big data over billions of devices, distributed Machine Learning (ML) techniques are emerging to cater for the development of Artificial Intelligence (AI)-based services in a distributed manner. Federated Learning (FL) is such an innovative approach to achieve a privacy-preserved AI that facilitates ML model sharing and […]

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H2020 ROBUST-6G Kick-off meeting

The 4th consortium meeting for the HORIZON 2020 SPATIAL project was hosted by UCD on the 12th of September 2023. The SPATIAL aims to tackle the identified gaps of data issues and black-box AI by designing and developing resilient accountable metrics, privacy-preserving methods, verification tools and system solutions that will serve as critical building blocks […]

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Rec-Def: A Recommendation-based Defence Mechanism for Privacy Preservation in Federated Learning Systems

  • November 19, 2023
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An emergence of attention and regulations on consumer privacy can be observed over the recent years with the ubiquitous availability of IoT systems handling personal data. Federated Learning (FL) arises as a privacy-preserved Machine Learning (ML) technique where data can be kept private within these devices without transmitting to third parties. Yet, many privacy attacks […]

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From Opacity to Clarity: Leveraging XAI for Robust Network Traffic Classification

  • November 19, 2023
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A wide adoption of Artificial Intelligence (AI) can be observed in recent years over networking to provide zero-touch, full autonomy of services towards the next generation Beyond 5G (B5G)/6G. However, AI-driven attacks on these services are a major concern in reaching the full potential of this future vision. Identifying how resilient the AI models are […]

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FL-TIA: Novel Time Inference Attacks on Federated Learning

  • November 19, 2023
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Federated Learning (FL) is an emerging privacy-preserved distributed Machine Learning (ML) technique where multiple clients can contribute to training an ML model without sharing private data. Even though FL offers a certain level of privacy by design, recent works show that FL is vulnerable to numerous privacy attacks. One of the key features of FL […]

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H2020 SPATIAL Consortium Meeting

The 4th consortium meeting for the HORIZON 2020 SPATIAL project was hosted by UCD on the 12th of September 2023. The SPATIAL aims to tackle the identified gaps of data issues and black-box AI by designing and developing resilient accountable metrics, privacy-preserving methods, verification tools and system solutions that will serve as critical building blocks […]

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SECURENET 2023

The 1st Summit on Security and Privacy in Future Mobile Networks  took place on the 11th of September 2023. The event mainly focuses on the security and privacy of future mobile networks, including 5G and 6G. With the increasing reliance on mobile networks in various sectors, the security and privacy of these networks has become […]

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Need of 6G for the Metaverse Realization

  • December 1, 2022
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The concept of the Metaverse aims to bring a fully-fledged extended reality environment to provide next generation applications and services. Development of the Metaverse is backed by many technologies, including, 5G, artificial intelligence, edge computing and extended reality. The advent of 6G is envisaged to mark a significant milestone in the development of the Metaverse, […]

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