Results 121 to 130 of about 94,262 (290)

Improving the adversarial transferability with relational graphs ensemble adversarial attack. [PDF]

Front Neurosci, 2022
Pi J, Luo C, Xia F, Jiang N, Wu H, Wu Z.
europepmc   +1 more source

Pixel Lens: A Granular Assessment of Saliency Explanations

Artificial Intelligence for Engineering, EarlyView.
We propose a pipeline that detects shortcut‐dominated classifiers by comparing predictions on clean and shortcut‐perturbed images and checking dominance via a Shapley‐based ground‐truth explainer. The workflow quantifies the explanation quality of different explainable artificial intelligence (XAI) methods.
Kanglong Fan, Chen Ma, Yifan Peng, Jinglong Yang, Qilin Sun, Yuming Fang   +5 more
wiley   +1 more source

ELAA: An Ensemble-Learning-Based Adversarial Attack Targeting Image-Classification Model. [PDF]

Entropy (Basel), 2023
Fu Z, Cui X.
europepmc   +1 more source

Deviation‐Guided Attention for Semi‐Supervised Anomaly Detection With Contrastive Regularisation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Anomaly detection (AD) aims to identify abnormal patterns that deviate from normal behaviour, playing a critical role in applications such as industrial inspection, medical imaging and autonomous driving. However, AD often faces a scarcity of labelled data. To address this challenge, we propose a novel semi‐supervised anomaly detection method,
Guanglei Xie, Xiaochang Hu, Yi Sun, Wenzhuo Zhang, Yafeng Bu, Hao Fu, Xin Xu   +6 more
wiley   +1 more source

A Security Study of Multimodel Artificial Intelligence System: Adaptive Retention Attack for Object Detection System with Multifocus Image Fusion Model

Advanced Intelligent Systems
Image preprocessing models are usually employed as the preceding operations of high‐level vision tasks to improve the performance. The adversarial attack technology makes both these models face severe challenges.
Xueshuai Gao, Xin Jin, Shengfa Miao, Qian Jiang, Yunyun Dong, Wei Zhou, Shaowen Yao   +6 more
doaj   +1 more source

SAR Image Ship Target Detection Adversarial Attack and Defence Generalization Research. [PDF]

Sensors (Basel), 2023
Gao W, Liu Y, Zeng Y, Liu Q, Li Q.
europepmc   +1 more source

The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks [PDF]

, 2019
Felix Assion, Peter Schlicht, Florens Greßner, W. Gunther, Fabian Hüger, Nico M. Schmidt, Umair Rasheed   +6 more
openalex   +1 more source

Towards Interpretable Face Morphing via Unsupervised Learning of Layer‐Wise and Local Features

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Discovering meaningful face morphing is critical for applications in image synthesis. Traditional unsupervised methods rely on global or layer‐wise representations, neglecting finer local details and thus limiting the control over specific facial attributes.
Cheng Yu, Chuan Chen, Wenmin Wang
wiley   +1 more source

The Threat of Adversarial Attack on a COVID-19 CT Image-Based Deep Learning System. [PDF]

Bioengineering (Basel), 2023
Li Y, Liu S.
europepmc   +1 more source

Adversarial Security Attacks and Perturbations on Machine Learning and Deep Learning Methods [PDF]

, 2019
Arif Siddiqi
openalex   +1 more source