POSES: Patch Optimization Strategies for Efficiency and Stealthiness Using eXplainable AI
IEEE AccessAdversarial examples, which are carefully crafted inputs designed to deceive deep learning models, create significant challenges in Artificial Intelligence.
Han-Ju Lee +3 more
doaj +1 more source
Study of Pre-processing Defenses against Adversarial Attacks on\n State-of-the-art Speaker Recognition Systems [PDF]
, 2021 Sonal Joshi +4 more
openalex +1 more source
Research progress in the application of single‐cell sequencing technology in rheumatic diseases
Rheumatology &Autoimmunity, EarlyView.Application of single‐cell RNA sequencing (scRNA‐seq) technology in the study of the pathogenesis of rheumatic diseases. Tree of content illustration depicting the multi‐layered insights from scRNA‐seq in rheumatic diseases. The outer layer highlights key cell subsets identified by scRNA‐seq in rheumatoid arthritis, systemic lupus erythematosus ...
Xinzhe Feng +5 more
wiley +1 more source
Deep Reinforcement Learning-Based Adversarial Attack and Defense in Industrial Control Systems
MathematicsAdversarial attacks targeting industrial control systems, such as the Maroochy wastewater system attack and the Stuxnet worm attack, have caused significant damage to related facilities.
Mun-Suk Kim
doaj +1 more source
Safety Considerations in Deployment of Robotic Systems – A Systematic Review
Journal of Field Robotics, EarlyView.ABSTRACT An in‐depth understanding of the risks related to robotic systems is crucial to guarantee safety throughout all stages of robot design and operations. This required a thorough risk assessment following international standards. This study presents a systematic review of previous research on safety considerations in the design of robotic systems,
Adedire D. Adesiji +6 more
wiley +1 more source
Fast Category-Hidden Adversarial Attack Against Semantic Image Segmentation [PDF]
, 2021 Yinghui Zhu +3 more
openalex +1 more source
Exposing and Challenging “Grit” in Physics Education
Science Education, EarlyView.ABSTRACT In STEM education, grit is increasingly the focus of research, with scholars and educators seeking to develop and test interventions that will enhance persistence. As part of the special issue Centering Affect and Emotion Toward Justice and Dignity in Science Education, in this paper, we use interviews with 12 white physics faculty to show ...
Amy Robertson +3 more
wiley +1 more source
Adversarial Patch Attacks on Monocular Depth Estimation Networks
, 2020 Koichiro Yamanaka +3 more
openalex +1 more source
Integrating multimodal data and machine learning for entrepreneurship research
Strategic Entrepreneurship Journal, EarlyView.Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley +1 more source
IEEE AccessRecent studies have shown that machine-learning models are vulnerable to adversarial attacks. Adversarial attacks are deliberate attempts to modify the input data of a machine learning model in a way that causes it to produce incorrect predictions.
Palakorn Kamnounsing +3 more
doaj +1 more source