Results 161 to 170 of about 1,662,189 (295)

Beware the Black-Box: On the Robustness of Recent Defenses to Adversarial Examples. [PDF]

Entropy (Basel), 2021
Mahmood K, Gurevin D, van Dijk M, Nguyen PH.   +3 more
europepmc   +1 more source

Resilient Multimodal Fusion for Robust Vulnerability Exploitability Prediction Under Data Degradation

Advanced Intelligent Systems, EarlyView.
Secure Fusion‐X harmonizes unstructured NVD descriptions with structured CVSS/CWE/CPE metadata via decision‐level fusion, overcoming the fragility of traditional unimodal models. Automated assessment of software vulnerability exploitability is essential for intelligent cyber defense, yet its effectiveness is often hindered by unstable, delayed, or ...
Mona Dolati, Seyedeh Leili Mirtaheri, Reza Shahbazian, Andrea Pugliese   +3 more
wiley   +1 more source

Improving the Transferability of Adversarial Examples With a Noise Data Enhancement Framework and Random Erasing. [PDF]

Front Neurorobot, 2021
Xie P, Shi S, Yang S, Qiao K, Liang N, Wang L, Chen J, Hu G, Yan B.   +8 more
europepmc   +1 more source

A decade of adversarial examples: a survey on the nature and understanding of neural network non-robustness

Компьютерная оптика
Adversarial examples, in the context of computer vision, are inputs deliberately crafted to deceive or mislead artificial neural networks. These examples exploit vulnerabilities in neural networks, resulting in minimal alterations to the original input ...
A.V. Trusov, E.E. Limonova, V.V. Arlazarov   +2 more
doaj   +1 more source

Machine Learning‐Enabled Field Prediction and Inverse Design of Functionally Graded Materials Inspired by Tendon–Bone Enthesis

Advanced Intelligent Systems, EarlyView.
A mechanics‐informed machine learning framework enables mechanics field prediction and inverse design of tendon–bone enthesis‐inspired functionally graded materials that reduce stress concentration and failure risk. By coupling multiscale finite element modeling, convolutional field prediction, and kernel‐based inverse design, the study uncovers ...
Zhangke Yang, Zhaoxu Meng
wiley   +1 more source

Adversarial Examples-Security Threats to COVID-19 Deep Learning Systems in Medical IoT Devices. [PDF]

IEEE Internet Things J, 2021
Rahman A, Hossain MS, Alrajeh NA, Alsolami F.   +3 more
europepmc   +1 more source

Family Dispute Resolution in Australia: The Under‐Servicing of Indigenous, Migrant and Refugee Families Experiencing Family Violence

Australian Journal of Social Issues, EarlyView.
ABSTRACT Improving access to legal services for Indigenous, migrant and refugee women is critical to addressing family violence. In this context, Family Dispute Resolution (FDR) has long been discussed as a solution for separating families. This paper presents key findings of a research evaluation of an Australian Government $8.37 million pilot project
Siobhan McDonnell, Alyson Wright
wiley   +1 more source

A New Type of Adversarial Examples

CoRR
Most machine learning models are vulnerable to adversarial examples, which poses security concerns on these models. Adversarial examples are crafted by applying subtle but intentionally worst-case modifications to examples from the dataset, leading the model to output a different answer from the original example. In this paper, adversarial examples are
Xingyang Nie, Guojie Xiao, Su Pan, Biao Wang, Huilin Ge, Tao Fang   +5 more
openaire   +2 more sources

Universal adversarial defense in remote sensing based on pre-trained denoising diffusion models

International Journal of Applied Earth Observations and Geoinformation
Deep neural networks (DNNs) have risen to prominence as key solutions in numerous AI applications for earth observation (AI4EO). However, their susceptibility to adversarial examples poses a critical challenge, compromising the reliability of AI4EO ...
Weikang Yu, Yonghao Xu, Pedram Ghamisi
doaj   +1 more source

A repertoire of middle leading practices: A large‐scale investigation of middle leadership in schools

British Educational Research Journal, EarlyView.
Abstract This article presents findings from an Australian study investigating the practices of middle leaders responsible for facilitating school development. Despite middle leaders being increasingly recognised as essential in the development of teaching and learning in schools, middle leadership remains under‐researched and comparatively overlooked ...
Peter Grootenboer, Christine Edwards‐Groves, Sharon Tindall‐Ford, Catherine Attard   +3 more
wiley   +1 more source