Zobrazeno 1 - 10
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pro vyhledávání: '"A. Rakin"'
The increasing growth of social media provides us with an instant opportunity to be informed of the opinions of a large number of politically active individuals in real-time. We can get an overall idea of the ideologies of these individuals on govern
Externí odkaz:
http://arxiv.org/abs/2411.04542
The Gender Identification (GI) problem is concerned with determining the gender of the author from a given text. It has numerous applications in different fields like forensics, literature, security, marketing, trade, etc. Due to its importance, rese
Externí odkaz:
http://arxiv.org/abs/2411.04524
While ongoing advancements in Large Language Models have demonstrated remarkable success across various NLP tasks, Retrieval Augmented Generation Model stands out to be highly effective on downstream applications like Question Answering. Recently, RA
Externí odkaz:
http://arxiv.org/abs/2410.17783
Autor:
Cicoli, Michele, Hughes, Christopher, Kamal, Ahmed Rakin, Marino, Francesco, Quevedo, Fernando, Ramos-Hamud, Mario, Villa, Gonzalo
We study a new framework for brane-antibrane inflation where moduli stabilisation relies purely on perturbative corrections to the effective action. This guarantees that the model does not suffer from the eta-problem. The inflationary potential has t
Externí odkaz:
http://arxiv.org/abs/2410.00097
Studies on backdoor attacks in recent years suggest that an adversary can compromise the integrity of a deep neural network (DNN) by manipulating a small set of training samples. Our analysis shows that such manipulation can make the backdoor model c
Externí odkaz:
http://arxiv.org/abs/2409.00863
Autor:
Zhou, Ranyang, Liu, Jacqueline T., Kochar, Nakul, Ahmed, Sabbir, Rakin, Adnan Siraj, Angizi, Shaahin
RowHammer stands out as a prominent example, potentially the pioneering one, showcasing how a failure mechanism at the circuit level can give rise to a significant and pervasive security vulnerability within systems. Prior research has approached Row
Externí odkaz:
http://arxiv.org/abs/2404.18396
Autor:
Gonçalves, Tiago, Pulido-Arias, Dagoberto, Willett, Julian, Hoebel, Katharina V., Cleveland, Mason, Ahmed, Syed Rakin, Gerstner, Elizabeth, Kalpathy-Cramer, Jayashree, Cardoso, Jaime S., Bridge, Christopher P., Kim, Albert E.
The interactions between tumor cells and the tumor microenvironment (TME) dictate therapeutic efficacy of radiation and many systemic therapies in breast cancer. However, to date, there is not a widely available method to reproducibly measure tumor a
Externí odkaz:
http://arxiv.org/abs/2404.16397
Autor:
Mathew, Jonat John, Ahsan, Rakin, Furukawa, Sae, Kumar, Jagdish Gautham Krishna, Pallan, Huzaifa, Padda, Agamjeet Singh, Adamski, Sara, Reddiboina, Madhu, Pankajakshan, Arjun
Deepfake audio poses a rising threat in communication platforms, necessitating real-time detection for audio stream integrity. Unlike traditional non-real-time approaches, this study assesses the viability of employing static deepfake audio detection
Externí odkaz:
http://arxiv.org/abs/2403.11778
In this work, we propose DRAM-Locker as a robust general-purpose defense mechanism that can protect DRAM against various adversarial Deep Neural Network (DNN) weight attacks affecting data or page tables. DRAM-Locker harnesses the capabilities of in-
Externí odkaz:
http://arxiv.org/abs/2312.09027
Autor:
Lorenzo, Guillermo, Ahmed, Syed Rakin, Hormuth II, David A., Vaughn, Brenna, Kalpathy-Cramer, Jayashree, Solorio, Luis, Yankeelov, Thomas E., Gomez, Hector
Despite the remarkable advances in cancer diagnosis, treatment, and management that have occurred over the past decade, malignant tumors remain a major public health problem. Further progress in combating cancer may be enabled by personalizing the de
Externí odkaz:
http://arxiv.org/abs/2308.14925