Results 141 to 150 of about 543,217 (204)

Gradual poisoning of a chest x-ray convolutional neural network with an adversarial attack and AI explainability methods. [PDF]

Sci Rep
Lee SB.
europepmc   +1 more source

Identifying significant features in adversarial attack detection framework using federated learning empowered medical IoT network security. [PDF]

Sci Rep
Sharaf SA, Nooh S.
europepmc   +1 more source

FMM-Attack: A Flow-based Multi-modal Adversarial Attack on Video-based LLMs [PDF]

Despite the remarkable performance of video-based large language models (LLMs), their adversarial threat remains unexplored. To fill this gap, we propose the first adversarial attack tailored for video-based LLMs by crafting flow-based multi-modal ...
Gao, Kuofeng, Wang, Yisen, Li, Jinmin, Bai, Yang, Zhang, Jingyun, Xia, Shu-tao   +5 more
core  

A Local Adversarial Attack with a Maximum Aggregated Region Sparseness Strategy for 3D Objects. [PDF]

J Imaging
Zhao L, Lv X, Zhu L, Luo B, Cao H, Cui J, Li H, Peng J.   +7 more
europepmc   +1 more source

A two-tier optimization strategy for feature selection in robust adversarial attack mitigation on internet of things network security. [PDF]

Sci Rep
Prasad KS, Udayakumar P, Laxmi Lydia E, Ahmed MA, Ishak MK, Karim FK, Mostafa SM.   +6 more
europepmc   +1 more source

Implications of Minimum Description Length for Adversarial Attack in Natural Language Processing. [PDF]

Entropy (Basel)
Tiwari K, Zhang L.
europepmc   +1 more source

Adversarial Attack On Yolov5 For Traffic And Road Sign Detection [PDF]

This paper implements and investigates popular adversarial attacks on the YOLOv5 Object Detection algorithm. The paper explores the vulnerability of the YOLOv5 to adversarial attacks in the context of traffic and road sign detection.
Jain, Sanyam
core  

Query-Efficient Adversarial Attack Against Vertical Federated Graph Learning

Graph neural network (GNN) has captured wide attention due to its capability of graph representation learning for graph-structured data. However, the distributed data silos limit the performance of GNN.
Zhang, Luxin, Cheng, Yao, Chen, Jinyin, Mu, Wenbo, Huang, Guohan, Zheng, Haibin   +5 more
core  

Adversarial robustness of deep learning-based thyroid nodule segmentation in ultrasound. [PDF]

PLOS Digit Health
Dietrich N, McShannon D.
europepmc   +1 more source

HQMSGAN: Enhancing Adversarial Robustness Using Hybrid Quantum-Classical Multi-Scale Generative Adversarial Network. [PDF]

Entropy (Basel)
Stanly H, Selvaraj MS, Paul R.
europepmc   +1 more source