Overview: Large Language Models (LLMs) face challenges, notably aligning responses with human values to prevent harmful outputs and their multilingual capabilities which are being exploited by attackers. Malicious users have […]
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The University’s SAIL (Systems, Automation, and Intelligence Lab) is at the forefront of pioneering research, providing a dynamic platform for researchers to explore a vast sea of opportunities in the […]
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🔬 Exciting Announcement: Binesh and Bahareh’s Research Paper on Early Failure Detection in Medical Devices Accepted at ICMHI 2024! 🌐 We are thrilled to share groundbreaking news from the world […]
Read MoreMotivated by the theory of parameter-efficient fine-tuning using LoRA and the Chain of Thought (Wei 2022) process, we propose a new method called TaCo. This method uses translation in the […]
Read MoreIn this paper, we aim to explore the feasibility of manipulating Motor Imagery (MI) BCIs via perturbing the visual stimuli observed by the BCI user. Inspired by adversarial example attacks […]
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The medical device industry is leaping forward by relying on electronics to improve life-saving medical devices’ safety and performance. The complex electronics, including microchips and FPGAs, run powerful software that […]
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Over View Social media has become an integral part of our daily lives and culture, providing unprecedented access to a constant flow of information. However, the unregulated nature of these […]
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