Results 71 to 80 of about 6,980 (145)

DLSF:A Textual Adversarial Attack Method Based on Dual-level Semantic Filtering [PDF]

Jisuanji kexue
In the field of commercial applications,deep learning-based text models play a crucial role but are also susceptible to adversarial samples,such as the incorporation of confusing vocabulary into reviews leading to erroneous model responses.A strong ...
XIONG Xi, DING Guangzheng, WANG Juan, ZHANG Shuai
doaj   +1 more source

Adversarial Attack and Defense in Breast Cancer Deep Learning Systems. [PDF]

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

Image classification adversarial attack with improved resizing transformation and ensemble models. [PDF]

PeerJ Comput Sci, 2023
Li C, Zhang H, Yang B, Wang J.
europepmc   +1 more source

Perturbing BEAMs: EEG adversarial attack to deep learning models for epilepsy diagnosing. [PDF]

BMC Med Inform Decis Mak, 2023
Yu J, Qiu K, Wang P, Su C, Fan Y, Cao Y.
europepmc   +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

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

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

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

Traffic adversarial example attack and defense method based on explainable artificial intelligence

Tongxin xuebao
An adversarial example attack method based on XAI was proposed for AI-based NIDS. By identifying critical perturbation features with XAI and applying targeted perturbations while preserving traffic functionality, malicious traffic was gradually altered ...
MA Bowen, GUO Yuanbo, TIAN Jiwei, MA Jun, HU Yongjin   +4 more
doaj  

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 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