A type of artificial intelligence that focuses on designing systems that can learn from and make decisions based on data.
The article by Francesco Croce and Matthias Hein from University of Tübingen AI Center proposes a new approach to adversarial attacks on image segmentation models. These models typically generate segmentation…
Continue readingThis research paper explores the potential for ‘jailbreak backdoors’ in large language models trained with Reinforcement Learning from Human Feedback (RLHF). It reveals that a malicious actor could potentially poison…
Continue readingThe paper addresses the challenge of performance degradation in Differentially Private Stochastic Gradient Descent with gradient clipping (DPSGD-GC), a tool for training deep learning models. The authors propose an error-feedback…
Continue readingThe article discusses the challenges of protecting image copyright in the context of diffusion models (DMs), which are advanced image synthesis methods. The authors propose a novel technique, Robust Invisible…
Continue readingThe research proposes a federated learning framework for intrusion detection in Internet of Vehicles (IOVs) using the CIC-IDS 2017 dataset. The framework uses SMOTE for handling class imbalance, outlier detection…
Continue readingThe article ‘Beyond Simulated Drivers: Evaluating the Impact of Real-World Car-Following in Mixed Traffic Control’ studies the effect of human driving behaviors on traffic congestion. It suggests that Human-driven Vehicles…
Continue readingThe article by Jonathan Sadeghi et al. discusses the potential for adversarial perception errors in autonomous driving systems. These errors, despite scoring highly on perception quality metrics, can lead to…
Continue readingThis academic article focuses on the development of neural network controllers for autonomous systems with unknown and stochastic dynamics. The authors propose a new approach to check and compute a…
Continue readingThe paper conducts an in-depth review of simulators for autonomous driving. It traces their development over three decades and identifies key functionalities. The paper also classifies simulators into five categories:…
Continue readingThis paper proposes a new approach to optimize the coordination of drone swarms in Smart Cities. It combines distributed optimization and deep reinforcement learning (DRL) to improve navigation, sensing, and…
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