A type of artificial intelligence that focuses on designing systems that can learn from and make decisions based on data.
This research discusses the challenge of diagnosing depression, a major global health issue. Many patients turn to social media platforms like Reddit to share their experiences and seek advice due…
Continue readingThis study delves into the concept of ‘the right to be forgotten’ in line with data protection regulations like the GDPR. It focuses on Federated Online Learning to Rank (FOLTR)…
Continue readingThe article discusses the susceptibility of neural network implementations to reverse engineering. The authors use side-channel analysis on the NVIDIA Jetson Nano microcomputer to investigate this. They implement 15 popular…
Continue readingThis paper proposes a system that utilizes Vehicle-to-Everything (V2X) technology for autonomous vehicles to exchange data and make real-time decisions. The system also operates a federated learning scheme to create…
Continue readingThis academic report by Jiameng Pu and Zafar Takhirov summarizes the Membership Inference Attacks (MIA) experiments of the Embedding Attack Project. The paper covers the evaluation of two main MIA…
Continue readingThe paper introduces a new kind of adversarial attack on machine learning models, specifically neural networks. It focuses on the vulnerability of these models to adversarial attacks. The proposed attack…
Continue readingThe study focuses on the development of an attack-resilient Generative Adversarial Network (AR-GAN) for traffic sign classification in autonomous vehicles (AVs). AVs rely on Deep Neural Network (DNN)-based systems to…
Continue readingThe article discusses the importance of cyber threat attribution and the need to automate this process. It proposes a modular architecture that uses opinion pools to combine the output of…
Continue readingThis work explores the relationship between Spotify users’ attributes and their public playlists, focusing on identifying recurring musical characteristics associated with users’ individual attributes like demographics, habits, or personality traits….
Continue readingThe paper ‘SunBlock: Cloudless Protection for IoT Systems’ addresses the increasing security threats and privacy risks associated with the rise of Internet of Things (IoT) devices in homes. Traditional IoT…
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