Zobrazeno 1 - 10
of 5 429
pro vyhledávání: '"SINGH, ABHISHEK"'
Identity Access Management (IAM) is an area posing significant challenges, particularly in the context of remote connectivity and distributed or cloud-based systems. A wide range of technical solutions have been proposed by prior research, but the in
Externí odkaz:
http://arxiv.org/abs/2408.10634
Large Language Models (LLMs) have demonstrated remarkable zero-shot and few-shot capabilities in unseen tasks, including context-grounded question answering (QA) in English. However, the evaluation of LLMs' capabilities in non-English languages for c
Externí odkaz:
http://arxiv.org/abs/2407.13522
Autor:
Yakymovych, Andrey, Singh, Abhishek
Recent threat reports highlight that email remains the top vector for delivering malware to endpoints. Despite these statistics, detecting malicious email attachments and URLs often neglects semantic cues linguistic features and contextual clues. Our
Externí odkaz:
http://arxiv.org/abs/2407.08888
Modern memory hierarchies work well with applications that have good spatial locality. Evolving (dynamic) graphs are important applications widely used to model graphs and networks with edge and vertex changes. They exhibit irregular memory access pa
Externí odkaz:
http://arxiv.org/abs/2406.14008
Federated Learning (FL) has emerged as a leading paradigm for decentralized, privacy preserving machine learning training. However, recent research on gradient inversion attacks (GIAs) have shown that gradient updates in FL can leak information on pr
Externí odkaz:
http://arxiv.org/abs/2405.10376
The least squares method provides the best-fit curve by minimizing the total squares error. In this work, we provide the modified least squares method based on the fractional orthogonal polynomials that belong to the space $M_{n}^{\lambda} := \text{s
Externí odkaz:
http://arxiv.org/abs/2405.00382
Autor:
Singh, Abhishek
Satellite remote sensing has revolutionized the acquisition of large amounts of data, employing both active and passive sensors to capture critical information about our planet. These data can be analysed by using deep learning methodologies that dem
Externí odkaz:
https://hdl.handle.net/11572/400706
Autor:
Singh, Abhishek Kumar, Patras, Ioannis
The rapid evolution of the fashion industry increasingly intersects with technological advancements, particularly through the integration of generative AI. This study introduces a novel generative pipeline designed to transform the fashion design pro
Externí odkaz:
http://arxiv.org/abs/2404.18591
Autor:
Singh, Abhishek Kumar, Jamieson, Kyle
The last couple of years have seen an ever-increasing interest in using different Ising solvers, like Quantum annealers, Coherent Ising machines, and Oscillator-based Ising machines, for solving tough computational problems in various domains. Althou
Externí odkaz:
http://arxiv.org/abs/2404.05631
Autor:
Tasneem, Zaid, Dave, Akshat, Singh, Abhishek, Tiwary, Kushagra, Vepakomma, Praneeth, Veeraraghavan, Ashok, Raskar, Ramesh
Neural radiance fields (NeRFs) show potential for transforming images captured worldwide into immersive 3D visual experiences. However, most of this captured visual data remains siloed in our camera rolls as these images contain personal details. Eve
Externí odkaz:
http://arxiv.org/abs/2403.13199