Results 81 to 90 of about 16,308 (300)

Improve Adversarial Robustness of AI Models in Remote Sensing via Data-Augmentation and Explainable-AI Methods

Remote Sensing
Artificial intelligence (AI) has made remarkable progress in recent years in remote sensing applications, including environmental monitoring, crisis management, city planning, and agriculture.
Sumaiya Tasneem, Kazi Aminul Islam
doaj   +1 more source

Understanding Youth Assaults of Police Officers in Australia: A Power Threat Meaning Framework Analysis

Australian Journal of Social Issues, EarlyView.
ABSTRACT This study explores youth violence towards police officers in Australia through the Power Threat Meaning Framework (PTMF) to better understand the underlying factors contributing to such violence; focusing on power dynamics, childhood adversity, and trauma.
Dimitra Lattas, Kelly Hine, Catherine Creamer, Kelley Burton, Katelyn Davenport‐Klunder   +4 more
wiley   +1 more source

A Comprehensive Risk Analysis Method for Adversarial Attacks on Biometric Authentication Systems

IEEE Access
Recent threats to deep learning-based biometric authentication systems stem from adversarial attacks exploiting vulnerabilities in deep learning models. While existing studies extensively analyze the risk of such attacks, they primarily focus on isolated
Seong Hee Park, Soo-Hyun Lee, Min Young Lim, Pyo Min Hong, Youn Kyu Lee   +4 more
doaj   +1 more source

Deviations in Representations Induced by Adversarial Attacks [PDF]

, 2022
Daniel Steinberg, Paul Munro
openalex   +1 more source

Prioritizing Feasible and Impactful Actions to Enable Secure AI Development and Use in Biology

Biotechnology and Bioengineering, EarlyView.
ABSTRACT As artificial intelligence continues to enhance biological innovation, the potential for misuse must be addressed to fully unlock the potential societal benefits. While significant work has been done to evaluate general‐purpose AI and specialized biological design tools (BDTs) for biothreat creation risks, actionable steps to mitigate the risk
Josh Dettman, Emily Lathrop, Aurelia Attal‐Juncqua, Matthew Nicotra, Allison Berke   +4 more
wiley   +1 more source

Advancing design strategies in smart stimulus‐responsive liposomes for drug release and nanomedicine

BMEMat, EarlyView.
Schematic illustration of stimulus‐responsive liposomes designed for controlled drug release and nanomedicine. The innermost circle represents different liposomal structures, including unilamellar, multilamellar, and multivesicular liposomes. The middle layer illustrates the responsive phospholipid components.
Yuchen Guo, Nan Li, Daiwei Zhang, Jingya Gu, Zhihuan Liao, Zihao Teng, Xiangfu Du, Peter S. Timashev, Shipeng Chen, Shuaidong Huo   +9 more
wiley   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition [PDF]

, 2022
J. F. Sun, Weili Nie, Zhiding Yu, Zhizhong Mao, Chaowei Xiao   +4 more
openalex   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

Caught in the fire: An accidental ethnography of discomfort in researching sex work

Feminist Anthropology, EarlyView.
Abstract Drawing on fifteen years of engagement with researching Israel's sex industry, this article uses accidental ethnography to propose discomfort‐as‐method for feminist anthropology. I argue that discomfort is not a by‐product of fieldwork but a constitutive condition that disciplines researchers and shapes what can be known.
Yeela Lahav‐Raz
wiley   +1 more source