Zobrazeno 1 - 10
of 335 656
pro vyhledávání: '"A, Syed"'
Autor:
Rashid, Syed Md Mukit, Wu, Tianwei, Tu, Kai, Ishtiaq, Abdullah Al, Tanvir, Ridwanul Hasan, Dong, Yilu, Chowdhury, Omar, Hussain, Syed Rafiul
This paper proposes Proteus, a protocol state machine, property-guided, and budget-aware automated testing approach for discovering logical vulnerabilities in wireless protocol implementations. Proteus maintains its budget awareness by generating tes
Externí odkaz:
http://arxiv.org/abs/2409.02905
The FCC's National Broadband Map aspires to provide an unprecedented view into broadband availability in the US. However, this map, which also determines eligibility for public grant funding, relies on self-reported data from service providers that i
Externí odkaz:
http://arxiv.org/abs/2410.08518
Autor:
Zhao, Yiwei, Li, Ziyun, Khwa, Win-San, Sun, Xiaoyu, Zhang, Sai Qian, Sarwar, Syed Shakib, Stangherlin, Kleber Hugo, Lu, Yi-Lun, Gomez, Jorge Tomas, Seo, Jae-Sun, Gibbons, Phillip B., De Salvo, Barbara, Liu, Chiao
Low-Latency and Low-Power Edge AI is essential for Virtual Reality and Augmented Reality applications. Recent advances show that hybrid models, combining convolution layers (CNN) and transformers (ViT), often achieve superior accuracy/performance tra
Externí odkaz:
http://arxiv.org/abs/2410.08326
Autor:
Berke, Alex, Bacis, Enrico, Ghazi, Badih, Kamath, Pritish, Kumar, Ravi, Lassonde, Robin, Manurangsi, Pasin, Syed, Umar
Browser fingerprinting can be used to identify and track users across the Web, even without cookies, by collecting attributes from users' devices to create unique "fingerprints". This technique and resulting privacy risks have been studied for over a
Externí odkaz:
http://arxiv.org/abs/2410.06954
Autor:
Loeffler, Shane E., Ahmad, Zan, Ali, Syed Yusuf, Yamamoto, Carolyna, Popescu, Dan M., Yee, Alana, Lal, Yash, Trayanova, Natalia, Maggioni, Mauro
Predicting time-dependent dynamics of complex systems governed by non-linear partial differential equations (PDEs) with varying parameters and domains is a challenging task motivated by applications across various fields. We introduce a novel family
Externí odkaz:
http://arxiv.org/abs/2410.04655
Autor:
Zhang, He, Falletta, Nicholas J., Xie, Jingyi, Yu, Rui, Lee, Sooyeon, Billah, Syed Masum, Carroll, John M.
Assistive technologies for people with visual impairments (PVI) have made significant advancements, particularly with the integration of artificial intelligence (AI) and real-time sensor technologies. However, current solutions often require PVI to s
Externí odkaz:
http://arxiv.org/abs/2410.04005
We explore the velocity distributions in a vibrated binary granular gas system, focusing on how these distributions are influenced by the coefficient of restitution (CoR) and the inelasticity of particle collisions. Through molecular dynamics simulat
Externí odkaz:
http://arxiv.org/abs/2410.03273
Autor:
He, Sizhuang, Levine, Daniel, Vrkic, Ivan, Bressana, Marco Francesco, Zhang, David, Rizvi, Syed Asad, Zhang, Yangtian, Zappala, Emanuele, van Dijk, David
We introduce CaLMFlow (Causal Language Models for Flow Matching), a novel framework that casts flow matching as a Volterra integral equation (VIE), leveraging the power of large language models (LLMs) for continuous data generation. CaLMFlow enables
Externí odkaz:
http://arxiv.org/abs/2410.05292
Autor:
Zhang, Shiyang, Patel, Aakash, Rizvi, Syed A, Liu, Nianchen, He, Sizhuang, Karbasi, Amin, Zappala, Emanuele, van Dijk, David
We explore the emergence of intelligent behavior in artificial systems by investigating how the complexity of rule-based systems influences the capabilities of models trained to predict these rules. Our study focuses on elementary cellular automata (
Externí odkaz:
http://arxiv.org/abs/2410.02536
Autor:
Meerza, Syed Irfan Ali, Liu, Jian
Federated Learning (FL) is a technique that allows multiple parties to train a shared model collaboratively without disclosing their private data. It has become increasingly popular due to its distinct privacy advantages. However, FL models can suffe
Externí odkaz:
http://arxiv.org/abs/2410.02042