Results 121 to 130 of about 94,861 (274)

Enhancing reinforcement learning based adversarial malware generation to evade static detection

Alexandria Engineering Journal
The anti-detection capabilities of adversarial malware examples have drawn the attention of antivirus vendors and researchers. In black-box scenarios where internal information of the target model cannot be accessed, with the ability of the reinforcement
Dazhi Zhan, Yanyan Zhang, Ling Zhu, Jun Chen, Shiming Xia, Shize Guo, Zhisong Pan   +6 more
doaj   +1 more source

Synthetic Electrocardiogram Spectrogram Generation Using Generative Adversarial Network‐Based Models: A Comparative Study

Advanced Intelligent Systems, EarlyView.
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova, Norelli Schettini, Winston Percybrooks, Begoña García‐Zapirain   +3 more
wiley   +1 more source

Enhanced small-scale APT knowledge graph embedding via spatio-temporal attribute reasoning and adversarial negative sampling

Array
Advanced Persistent Threat (APT) represents a class of highly sophisticated and stealthy cyberattacks that pose significant challenges to traditional defense mechanisms.
Yushun Xie, Haiyan Wang, Xiao Jing, Zhaoquan Gu   +3 more
doaj   +1 more source

Evaluating Adversarial Robustness of Detection-based Defenses against Adversarial Examples

, 2023
Machine Learning algorithms provide astonishing performance in a wide range of tasks, including sensitive and critical applications. On the other hand, it has been shown that they are vulnerable to adversarial attacks, a set of techniques that violate the integrity, confidentiality, or availability of such systems.
openaire   +1 more source

Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction

Advanced Intelligent Systems, EarlyView.
This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He, Kah Phooi Seng, Chee Shen Lim, Li Minn Ang   +3 more
wiley   +1 more source

Feature Disentangling and Combination Implemented by Spin–Orbit Torque Magnetic Tunnel Junctions

Advanced Intelligent Systems, EarlyView.
Spin–orbit torque magnetic tunnel junctions (SOT‐MTJs) enable efficient feature disentangling and integration in image data. A proposed algorithm leverages SOT‐MTJs as true random number generators to disentangle and recombine features in real time, with experimental validation on emoji and facial datasets.
Xiaohan Li, Yingqian Xu, Caihua Wan, Ran Zhang, Meike Hindenberg, Raik Hoffmann, Shiqiang Liu, Tianyi Zhang, Shilong Xiong, Dehao Kong, Jihao Xia, Fangshuo Gao, Zhuyang Nie, Thomas Kämpfe, Guoqiang Yu, Xiufeng Han   +15 more
wiley   +1 more source

Upsampling DINOv2 Features for Unsupervised Vision Tasks and Weakly Supervised Materials Segmentation

Advanced Intelligent Systems, EarlyView.
Feature from recent image foundation models (DINOv2) are useful for vision tasks (segmentation, object localization) with little or no human input. Once upsampled, they can be used for weakly supervised micrograph segmentation, achieving strong results when compared to classical features (blurs, edge detection) across a range of material systems.
Ronan Docherty, Antonis Vamvakeros, Samuel J. Cooper   +2 more
wiley   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Understanding Youth Assaults of Police Officers in Australia: A Power Threat Meaning Framework Analysis

Australian Journal of Social Issues, EarlyView.
ABSTRACT This study explores youth violence towards police officers in Australia through the Power Threat Meaning Framework (PTMF) to better understand the underlying factors contributing to such violence; focusing on power dynamics, childhood adversity, and trauma.
Dimitra Lattas, Kelly Hine, Catherine Creamer, Kelley Burton, Katelyn Davenport‐Klunder   +4 more
wiley   +1 more source

Adults With Intellectual Disability Moving out of the Family Home Using the National Disability Insurance Scheme: Family Members' Planning Experiences

Australian Journal of Social Issues, EarlyView.
ABSTRACT For adults with intellectual disability and their families, future planning and moving out of the family home in Australia will increasingly occur within the context of the National Disability Insurance Scheme (NDIS). As a market‐based, individualised funding system its impact on this transition remains largely unknown. This paper reports on a
I. Belperio, R. Walker, C. Bigby, I. Wiesel, F. Rillotta, C. Hutchinson   +5 more
wiley   +1 more source