Zobrazeno 1 - 10
of 45 154
pro vyhledávání: '"Zaid, A."'
Crack detection, particularly from pavement images, presents a formidable challenge in the domain of computer vision due to several inherent complexities such as intensity inhomogeneity, intricate topologies, low contrast, and noisy backgrounds. Auto
Externí odkaz:
http://arxiv.org/abs/2409.18099
Autor:
Cornacchia, Giandomenico, Zizzo, Giulio, Fraser, Kieran, Hamed, Muhammad Zaid, Rawat, Ambrish, Purcell, Mark
The proliferation of Large Language Models (LLMs) in diverse applications underscores the pressing need for robust security measures to thwart potential jailbreak attacks. These attacks exploit vulnerabilities within LLMs, endanger data integrity and
Externí odkaz:
http://arxiv.org/abs/2409.17699
Autor:
Ilyas, Zaid, Saleem, Afsah, Suter, David, Reid, Siobhan, Schousboe, John, Leslie, William, Lewis, Joshua, Gilani, Syed Zulqarnain
Cardiovascular Diseases (CVDs) are the leading cause of death worldwide, taking 17.9 million lives annually. Abdominal Aortic Calcification (AAC) is an established marker for CVD, which can be observed in lateral view Vertebral Fracture Assessment (V
Externí odkaz:
http://arxiv.org/abs/2409.17203
Autor:
Rawat, Ambrish, Schoepf, Stefan, Zizzo, Giulio, Cornacchia, Giandomenico, Hameed, Muhammad Zaid, Fraser, Kieran, Miehling, Erik, Buesser, Beat, Daly, Elizabeth M., Purcell, Mark, Sattigeri, Prasanna, Chen, Pin-Yu, Varshney, Kush R.
As generative AI, particularly large language models (LLMs), become increasingly integrated into production applications, new attack surfaces and vulnerabilities emerge and put a focus on adversarial threats in natural language and multi-modal system
Externí odkaz:
http://arxiv.org/abs/2409.15398
This paper introduces TINA, a novel framework for implementing non Neural Network (NN) signal processing algorithms on NN accelerators such as GPUs, TPUs or FPGAs. The key to this approach is the concept of mapping mathematical and logic functions as
Externí odkaz:
http://arxiv.org/abs/2408.16551
StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements
Autor:
Fisher, Jillian, Hallinan, Skyler, Lu, Ximing, Gordon, Mitchell, Harchaoui, Zaid, Choi, Yejin
Authorship obfuscation, rewriting a text to intentionally obscure the identity of the author, is an important but challenging task. Current methods using large language models (LLMs) lack interpretability and controllability, often ignoring author-sp
Externí odkaz:
http://arxiv.org/abs/2408.15666
Data balancing across multiple modalities/sources appears in various forms in several foundation models (e.g., CLIP and DINO) achieving universal representation learning. We show that this iterative algorithm, usually used to avoid representation col
Externí odkaz:
http://arxiv.org/abs/2408.15065
As urban air mobility (UAM) emerges as a transformative solution to urban transportation, the demand for robust communication frameworks capable of supporting high-density aerial traffic becomes increasingly critical. An essential area of communicati
Externí odkaz:
http://arxiv.org/abs/2408.15009
Chisel (Constructing Hardware In a Scala Embedded Language) is a broadly adopted HDL that brings object-oriented and functional programming, type-safety, and parameterization to hardware design. However, while these language features significantly im
Externí odkaz:
http://arxiv.org/abs/2408.10082
Autor:
Zaz, M. Zaid, Tamang, Binny, McElven, Kayleigh, Mishra, Esha, Viswan, Gauthami, Chin, Wai Kiat, Subedi, Arjun, Daiye, Alpha T. Ń, Lai, Rebecca, Dowben, Peter A.
From a comparison of energy dispersive analyses of X-rays (EDAX), the known molecular stoichiometry and X-ray photoemission spectroscopy (XPS), it is evident that the Fe(III) spin crossover salt [Fe(qsal)2Ni(dmit)2] has a preferential surface termina
Externí odkaz:
http://arxiv.org/abs/2408.07138