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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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Privacy of the Metaverse: Current Issues, AI Attacks, and Possible Solutions

  • July 1, 2023
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Metaverse is a key emerging digital transformation concept for the next generation of cyberspace. It is expected to create a self-sustaining virtual ecosystem of fully immersive, real-time experiences with numerous opportunities for general users and industries to interact with the world. With the introduction of 6G networks and enabling technologies, the metaverse will achieve its […]

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A survey on the convergence of edge computing and AI for UAVs: Opportunities and challenges

  • September 1, 2022
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The latest 5G mobile networks have enabled many exciting Internet of Things (IoT) applications that employ unmanned aerial vehicles (UAVs/drones). The success of most UAV-based IoT applications is heavily dependent on artificial intelligence (AI) technologies, for instance, computer vision and path planning. These AI methods must process data and provide decisions while ensuring low latency […]

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