Zobrazeno 1 - 10
of 67 494
pro vyhledávání: '"A. A. Selim"'
Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation
Harmful fine-tuning issue \citep{qi2023fine} poses serious safety concerns for Large language models' fine-tuning-as-a-service. While existing defenses \citep{huang2024vaccine,rosati2024representation} have been proposed to mitigate the issue, their
Externí odkaz:
http://arxiv.org/abs/2409.01586
This paper introduces the parallel network-based spoofing-aware speaker verification (SASV) system developed by BTU Speech Group for the ASVspoof5 Challenge. The SASV system integrates ASV and CM systems to enhance security against spoofing attacks.
Externí odkaz:
http://arxiv.org/abs/2408.15877
Recent analyses highlight challenges in autonomous vehicle technologies, particularly failures in decision-making under dynamic or emergency conditions. Traditional automated driving systems recalculate the entire trajectory in a changing environment
Externí odkaz:
http://arxiv.org/abs/2408.10622
Autor:
Saber, Ahmad Mohammad, Selim, Alaa, Hammad, Mohamed M., Youssef, Amr, Kundur, Deepa, El-Saadany, Ehab
With the rapid integration of electronically interfaced renewable energy resources and loads into smart grids, there is increasing interest in power quality disturbances (PQD) classification to enhance the security and efficiency of these grids. This
Externí odkaz:
http://arxiv.org/abs/2409.00025
Feature selection is vital for identifying relevant variables in classification and regression models, especially in single-cell RNA sequencing (scRNA-seq) data analysis. Traditional methods like LASSO often struggle with the nonlinearities and multi
Externí odkaz:
http://arxiv.org/abs/2408.08867
Constraints on cosmology beyond $\Lambda$CDM with kinetic Sunyaev Zel'dovich velocity reconstruction
Kinetic Sunyaev Zel'dovich velocity reconstruction uses the statistically anisotropic cross-correlation between cosmic microwave background (CMB) temperature anisotropies and a galaxy survey to reconstruct the remotely observed CMB dipole. Using a re
Externí odkaz:
http://arxiv.org/abs/2408.05264
Autor:
Islam, Taimoor Ul, Boateng, Joshua Ofori, Nadim, Md, Zu, Guoying, Shahid, Mukaram, Li, Xun, Zhang, Tianyi, Reddy, Salil, Xu, Wei, Atalar, Ataberk, Lee, Vincent, Chen, Yung-Fu, Gosling, Evan, Permatasari, Elisabeth, Somiah, Christ, Meng, Zhibo, Babu, Sarath, Soliman, Mohammed, Hussain, Ali, Qiao, Daji, Zheng, Mai, Boyraz, Ozdal, Guan, Yong, Arora, Anish, Selim, Mohamed, Ahmad, Arsalan, Cohen, Myra B., Luby, Mike, Chandra, Ranveer, Gross, James, Zhang, Hongwei
To address the rural broadband challenge and to leverage the unique opportunities that rural regions provide for piloting advanced wireless applications, we design and implement the ARA wireless living lab for research and innovation in rural wireles
Externí odkaz:
http://arxiv.org/abs/2408.00913
We consider collaborative inference at the wireless edge, where each client's model is trained independently on their local datasets. Clients are queried in parallel to make an accurate decision collaboratively. In addition to maximizing the inferenc
Externí odkaz:
http://arxiv.org/abs/2407.21151
The symmetrized weight enumerators of pairs of Type II code over $\mathbb{F}_{2}$ and $\mathbb{Z}_{4}$, which are invariants for a specified group, have been examined in this paper. It is shown that, for degrees 8 and 16, the space of the invariants
Externí odkaz:
http://arxiv.org/abs/2407.19815
Integrating Generative AI (GenAI) into educational contexts presents a transformative potential for enhancing learning experiences. This paper introduces CourseGPT, a generative AI tool designed to support instructors and enhance the educational expe
Externí odkaz:
http://arxiv.org/abs/2407.18310