Zobrazeno 1 - 10
of 113 177
pro vyhledávání: '"P. Chia"'
In recent years, Vision-Language Models (VLMs) have demonstrated significant advancements in artificial intelligence, transforming tasks across various domains. Despite their capabilities, these models are susceptible to jailbreak attacks, which can
Externí odkaz:
http://arxiv.org/abs/2410.01438
The recovery of businesses after a disaster is vital to community economic resilience, yet the network dynamics influencing the speed and spillover effects of recovery remain poorly understood. Understanding these dynamics is essential for characteri
Externí odkaz:
http://arxiv.org/abs/2409.12357
Addressing the challenge of ensuring safety in ever-changing and unpredictable environments, particularly in the swiftly advancing realm of autonomous driving in today's 5G wireless communication world, we present Navigation Secure (NavSecure). This
Externí odkaz:
http://arxiv.org/abs/2411.15042
Autor:
Matsuo, Ryoga, Uhlich, Stefan, Venkitaraman, Arun, Bonetti, Andrea, Hsieh, Chia-Yu, Momeni, Ali, Mauch, Lukas, Capone, Augusto, Ohbuchi, Eisaku, Servadei, Lorenzo
Machine learning models are advancing circuit design, particularly in analog circuits. They typically generate netlists that lack human interpretability. This is a problem as human designers heavily rely on the interpretability of circuit diagrams or
Externí odkaz:
http://arxiv.org/abs/2411.13899
Autor:
Uhlich, Stefan, Bonetti, Andrea, Venkitaraman, Arun, Momeni, Ali, Matsuo, Ryoga, Hsieh, Chia-Yu, Ohbuchi, Eisaku, Servadei, Lorenzo
Designing integrated circuits involves substantial complexity, posing challenges in revealing its potential applications - from custom digital cells to analog circuits. Despite extensive research over the past decades in building versatile and automa
Externí odkaz:
http://arxiv.org/abs/2411.13890
Routability optimization in modern EDA tools has benefited greatly from using machine learning (ML) models. Constructing and optimizing the performance of ML models continues to be a challenge. Neural Architecture Search (NAS) serves as a tool to aid
Externí odkaz:
http://arxiv.org/abs/2411.14296
Accurate segmentation of Optical Coherence Tomography (OCT) images is crucial for diagnosing and monitoring retinal diseases. However, the labor-intensive nature of pixel-level annotation limits the scalability of supervised learning with large datas
Externí odkaz:
http://arxiv.org/abs/2411.12615
Autor:
Shen, Yichen, Hsieh, Ping-Yen, Sridhar, Sashank Kaushik, Feldman, Samantha, Chang, You-Chia, Smith, Thomas A., Dutt, Avik
Squeezed light, with its quantum noise reduction capabilities, has emerged as a powerful resource in quantum information processing and precision metrology. To reach noise reduction levels such that a quantum advantage is achieved, off-chip squeezers
Externí odkaz:
http://arxiv.org/abs/2411.11679
Galaxies at redshift $z\sim 1-2$ display high star formation rates (SFRs) with elevated cold gas fractions and column densities. Simulating a self-regulated ISM in a hydrodynamical, self-consistent context, has proven challenging due to strong outflo
Externí odkaz:
http://arxiv.org/abs/2411.10514
Visual prompting (VP) is a new technique that adapts well-trained frozen models for source domain tasks to target domain tasks. This study examines VP's benefits for black-box model-level backdoor detection. The visual prompt in VP maps class subspac
Externí odkaz:
http://arxiv.org/abs/2411.09540