Results 131 to 140 of about 229,925 (327)

InfoShadow: NTK & MI guided adversarial attacks on speaker identification systems [PDF]

Ruixin Song, Youliang Tian, Mengqian Li, Ze Yang, Ruohan Wang   +4 more
openalex   +2 more sources

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Adversarial detection based on feature invariant in license plate recognition systems

网络与信息安全学报
Deep neural networks have become an integral part of people's daily lives. However, researchers observed that these networks were susceptible to threats from adversarial samples, leading to abnormal behaviors such as misclassification by the network ...
ZHU Xiaoyu, TANG Peng, ZHANG Haochen, QIU Weidong, HUANG Zheng   +4 more
doaj  

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source

An enhanced ensemble defense framework for boosting adversarial robustness of intrusion detection systems

Scientific Reports
Machine learning (ML) and deep neural networks (DNN) have emerged as powerful tools for enhancing intrusion detection systems (IDS) in cybersecurity.
Zeinab Awad, Magdy Zakaria, Rasha Hassan
doaj   +1 more source

Vulnerability disclosure through adaptive black-box adversarial attacks in network intrusion detection systems [PDF]

Sabrine Ennaji, Elhadj Benkhelifa, Luigi Vincenzo Mancini, Sabrine Ennaji, Elhadj Benkhelifa, Luigi Vincenzo Mancini   +5 more
openalex   +1 more source

Physically Constrained Generative Adversarial Networks for Improving Precipitation Fields from Earth System Models [PDF]

, 2022
Philipp Heß, Markus Drüke, Stefan Petri, Felix Strnad, Niklas Boers   +4 more
openalex   +1 more source

On‐Device Brain Tumor Classification from MR Images Using Smartphone

Advanced Intelligent Systems, EarlyView.
Herein, various deep learning models are trained for brain tumor classification task, and model performances are compared. The performance is further improved by using the proposed preprocessing algorithm before training. The MobileViT model, which is the best‐performing model in terms of balance between inference time and success rate, is integrated ...
Halil Ibrahim Ustun, Merve Bulbul, Gozde Yolcu Oztel, Veysel Harun Sahin   +3 more
wiley   +1 more source

Learning deep forest for face anti-spoofing: An alternative to the neural network against adversarial attacks

Electronic Research Archive
Face anti-spoofing (FAS) is significant for the security of face recognition systems. neural networks (NNs), including convolutional neural network (CNN) and vision transformer (ViT), have been dominating the field of the FAS.
Rizhao Cai, Liepiao Zhang, Changsheng Chen, Yongjian Hu, Alex Kot   +4 more
doaj   +1 more source

Synthetic Active Distribution System Generation via Unbalanced Graph Generative Adversarial Network [PDF]

, 2021
Rong Yan, Yuxuan Yuan, Zhaoyu Wang, Guangchao Geng, Quanyuan Jiang   +4 more
openalex   +1 more source