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pro vyhledávání: '"Rakin A"'
Autor:
Ahmed, Sultan, Rakin, Salman, Waliur, Mohammad Washeef Ibn, Islam, Nuzhat Binte, Hossain, Billal, Akbar, Md. Mostofa
Emotion artificial intelligence is a field of study that focuses on figuring out how to recognize emotions, especially in the area of text mining. Today is the age of social media which has opened a door for us to share our individual expressions, em
Externí odkaz:
http://arxiv.org/abs/2412.05861
Recent advancements in side-channel attacks have revealed the vulnerability of modern Deep Neural Networks (DNNs) to malicious adversarial weight attacks. The well-studied RowHammer attack has effectively compromised DNN performance by inducing preci
Externí odkaz:
http://arxiv.org/abs/2412.02156
When reduced from $10$ to $10-d$ dimensions tree-level string theory exhibits an $O(d,d)$ symmetry. This symmetry, which is closely related to T-duality, appears only after certain field redefinitions. We find a simple form for a subset of these rede
Externí odkaz:
http://arxiv.org/abs/2411.15302
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