Results 161 to 170 of about 2,268,403 (339)

Adversarial Robustness of Self-Supervised Learning Features

IEEE Open Journal of Signal Processing
As deep learning models have proliferated, concerns about their reliability and security have also increased. One significant challenge is understanding adversarial perturbations, which can alter a model's predictions despite being very small in ...
Nicholas Mehlman, Shri Narayanan
doaj   +1 more source

Adversarial robustness in deep neural networks based on variable attributes of the stochastic ensemble model. [PDF]

Front Neurorobot, 2023
Qin R, Wang L, Du X, Xie P, Chen X, Yan B.   +5 more
europepmc   +1 more source

Robust Reinforcement Learning via Adversarial training with Langevin Dynamics [PDF]

, 2020
Parameswaran Kamalaruban, Yu‐Ting Huang, Ya-Ping Hsieh, Paul Rolland, Cheng Shi, Volkan Cevher   +5 more
openalex   +1 more source

IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition

Advanced Intelligent Systems, EarlyView.
This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi, Olatunji Omisore, Wenjing Du, Wenke Duan, Chen Bailang, Liu Kun, Lei Wang, Minxin Wei   +7 more
wiley   +1 more source

SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions [PDF]

, 2020
Mao Ye, Chengyue Gong, Qiang Liu
openalex   +1 more source

Loss‐Based Ensemble Generative Adversarial Network Model for Enhancing the Sperm Morphology Classification

Advanced Intelligent Systems, EarlyView.
A loss‐based ensemble generative adversarial network (GAN) framework is proposed to address mode collapse in sperm morphology classification. By integrating spatial augmentation and multiple GAN models, the study enhances synthetic data quality. The Shifted Window Transformer achieves 95.37% accuracy on the HuSHeM dataset, outperforming previous ...
Berke Cansiz, Hamza Osman Ilhan, Gorkem Serbes   +2 more
wiley   +1 more source

Multi-Task Learning With Self-Defined Tasks for Adversarial Robustness of Deep Networks

IEEE Access
Despite the considerable progress made in the development of deep neural networks (DNNs), their vulnerability to adversarial attacks remains a major hindrance to their practical application. Consequently, there has been a surge of interest and investment
Changhun Hyun, Hyeyoung Park
doaj   +1 more source

Stochastic Linear Bandits Robust to Adversarial Attacks [PDF]

, 2020
Ilija Bogunovic, Arpan Losalka, Andreas Krause, Jonathan Scarlett   +3 more
openalex   +1 more source

Regional Adversarial Training for Better Robust Generalization [PDF]

, 2021
Chuanbiao Song, Yanbo Fan, Yicheng Yang, Baoyuan Wu, Yiming Li, Zhifeng Li, Kun He   +6 more
openalex   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Advanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian, Liuchao Jin, Qi Ge, Wei‐Hsin Liao, Andrés Díaz Lantada, Francisco Franco Martínez, Tianyu Zhang, Tao Liu, Charlie C. L. Wang, Mohammad Hossein Mosallanejad, Reza Ghanavati, Abdollah Saboori, Alejandro De Blas De Miguel, William Solórzano‐Requejo, Yi Cai, Xiangyang Dong, Huangyi Qu, Najmeh Samadiani, Guangyan Huang, Austin Downey, Yanzhou Fu, Lang Yuan, Tsz‐Kwan (Glory) Lee, Arbind Agrahari Baniya, Eisha Waseem, Abdul Rahman Sani, Abbas Z. Kouzani, Yijia Wu, Markus P. Nemitz, Masoud Shirzad, Dageon Oh, Seung Yun Nam, Amedeo Franco Bonatti, Irene Chiesa, Gabriele Maria Fortunato, Giovanni Vozzi, Carmelo De Maria, Mahdi Bodaghi   +37 more
wiley   +1 more source