Security and privacy for 6G: A survey on prospective technologies and challenges
Sixth-generation (6G) mobile networks will have to cope with diverse threats on a space-air-
ground integrated network environment, novel technologies, and an accessible user …
ground integrated network environment, novel technologies, and an accessible user …
Towards practical secure neural network inference: the journey so far and the road ahead
Neural networks (NNs) have become one of the most important tools for artificial
intelligence. Well-designed and trained NNs can perform inference (eg, make decisions or …
intelligence. Well-designed and trained NNs can perform inference (eg, make decisions or …
[HTML][HTML] Privacy-preserved learning from non-iid data in fog-assisted IoT: A federated learning approach
M Abdel-Basset, H Hawash, N Moustafa… - Digital Communications …, 2022 - Elsevier
With the prevalence of the Internet of Things (IoT) systems, smart cities comprise complex
networks, including sensors, actuators, appliances, and cyber services. The complexity and …
networks, including sensors, actuators, appliances, and cyber services. The complexity and …
Data protection law and multi-party computation: Applications to information exchange between law enforcement agencies
A Treiber, D Müllmann, T Schneider… - Proceedings of the 21st …, 2022 - dl.acm.org
Pushes for increased power of Law Enforcement (LE) for data retention and centralized
storage result in legal challenges with data protection law and courts-and possible violations …
storage result in legal challenges with data protection law and courts-and possible violations …
Crypto makes ai evolve
Adopting cryptography has given rise to a significant? evolution in AI. This chapter studies
the path and stages of this evolution. We start with reviewing existing relevant surveys …
the path and stages of this evolution. We start with reviewing existing relevant surveys …
Privacy and Security Concerns in Generative AI: A Comprehensive Survey
Generative Artificial Intelligence (GAI) has sparked a transformative wave across various
domains, including machine learning, healthcare, business, and entertainment, owing to its …
domains, including machine learning, healthcare, business, and entertainment, owing to its …
Adam in private: Secure and fast training of deep neural networks with adaptive moment estimation
N Attrapadung, K Hamada, D Ikarashi… - arXiv preprint arXiv …, 2021 - arxiv.org
Privacy-preserving machine learning (PPML) aims at enabling machine learning (ML)
algorithms to be used on sensitive data. We contribute to this line of research by proposing a …
algorithms to be used on sensitive data. We contribute to this line of research by proposing a …
Privacy-Preserving and Trustworthy Deep Learning for Medical Imaging
K Sedghighadikolaei, AA Yavuz - arXiv preprint arXiv:2407.00538, 2024 - arxiv.org
The shift towards efficient and automated data analysis through Machine Learning (ML) has
notably impacted healthcare systems, particularly Radiomics. Radiomics leverages ML to …
notably impacted healthcare systems, particularly Radiomics. Radiomics leverages ML to …
Privacy-preserving remote heart rate estimation from facial videos
Remote Photoplethysmography (rPPG) is the process of estimating PPG from facial videos.
While this approach benefits from contactless interaction, it is reliant on videos of faces …
While this approach benefits from contactless interaction, it is reliant on videos of faces …