Zobrazeno 1 - 10
of 2 009
pro vyhledávání: '"Nguyen, Dung A."'
In recent years, the rise of machine learning (ML) in cybersecurity has brought new challenges, including the increasing threat of backdoor poisoning attacks on ML malware classifiers. For instance, adversaries could inject malicious samples into pub
Externí odkaz:
http://arxiv.org/abs/2412.03441
Forecasting temporal processes such as virus spreading in epidemics often requires more than just observed time-series data, especially at the beginning of a wave when data is limited. Traditional methods employ mechanistic models like the SIR family
Externí odkaz:
http://arxiv.org/abs/2411.06781
Federated Learning (FL) offers a promising solution to the privacy concerns associated with centralized Machine Learning (ML) by enabling decentralized, collaborative learning. However, FL is vulnerable to various security threats, including poisonin
Externí odkaz:
http://arxiv.org/abs/2411.03231
Polariton lasing is a promising phenomenon with potential applications in next-generation lasers that operate without the need for population inversion. Applying a perpendicular magnetic field to a quantum well (QW) significantly alters the propertie
Externí odkaz:
http://arxiv.org/abs/2411.02458
Federated Learning (FL) shows promise in preserving privacy and enabling collaborative learning. However, most current solutions focus on private data collected from a single domain. A significant challenge arises when client data comes from diverse
Externí odkaz:
http://arxiv.org/abs/2410.22622
Effective decision-making in partially observable environments demands robust memory management. Despite their success in supervised learning, current deep-learning memory models struggle in reinforcement learning environments that are partially obse
Externí odkaz:
http://arxiv.org/abs/2410.10132
Does the choice of programming language affect energy consumption? Previous highly visible studies have established associations between certain programming languages and energy consumption. A causal misinterpretation of this work has led academics a
Externí odkaz:
http://arxiv.org/abs/2410.05460
This study introduces an innovative automatic labeling framework to address the challenges of lexical normalization in social media texts for low-resource languages like Vietnamese. Social media data is rich and diverse, but the evolving and varied l
Externí odkaz:
http://arxiv.org/abs/2409.20467
In fragile watermarking, a sensitive watermark is embedded in an object in a manner such that the watermark breaks upon tampering. This fragile process can be used to ensure the integrity and source of watermarked objects. While fragile watermarking
Externí odkaz:
http://arxiv.org/abs/2409.19442
Autor:
Wagner, Glenn, Nguyen, Dung X.
Electrons in a quantum Hall fluid can bind with an integer number of vortices to form composite fermions and composite bosons. We show that the quantum Hall bilayer at filling $\nu=\frac{1}{4}+\frac{3}{4}$ with interlayer separation $d$ can be well-d
Externí odkaz:
http://arxiv.org/abs/2407.07938