Results 151 to 160 of about 353,439 (278)

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack

Sparse attacks are to optimize the magnitude of adversarial perturbations for fooling deep neural networks (DNNs) involving only a few perturbed pixels (i.e., under the l0 constraint), suitable for interpreting the vulnerability of DNNs. However, existing solutions fail to yield interpretable adversarial examples due to their poor sparsity. Worse still,
Lin, Fudong, Lou, Jiadong, Wang, Hao, Jalaian, Brian, Yuan, Xu   +4 more
openaire   +2 more sources

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

Adults With Intellectual Disability Moving out of the Family Home Using the National Disability Insurance Scheme: Family Members' Planning Experiences

Australian Journal of Social Issues, EarlyView.
ABSTRACT For adults with intellectual disability and their families, future planning and moving out of the family home in Australia will increasingly occur within the context of the National Disability Insurance Scheme (NDIS). As a market‐based, individualised funding system its impact on this transition remains largely unknown. This paper reports on a
I. Belperio, R. Walker, C. Bigby, I. Wiesel, F. Rillotta, C. Hutchinson   +5 more
wiley   +1 more source

Threats and vulnerabilities in artificial intelligence and agentic AI models. [PDF]

Front Artif Intell
Radanliev P, Santos O, Maple C.
europepmc   +1 more source

A Spatially Distributed Perturbation Strategy with Smoothed Gradient Sign Method for Adversarial Analysis of Image Classification Systems. [PDF]

Entropy (Basel)
Xu Y, Li J, Chang D, Dong Y.
europepmc   +1 more source

A dancing bear, a colleague, or a sharpened toolbox? The cautious adoption of generative artificial intelligence technologies in digital humanities research

Journal of the Association for Information Science and Technology, EarlyView.
Abstract The emergence of generative artificial intelligence (GenAI) is reshaping the research landscape and carries significant implications for Digital Humanities (DH), a field long intertwined with computational methods and technologies. This study examines how DH scholars are adopting and critically evaluating GenAI in their research. Drawing on an
Rongqian Ma, Meredith Dedema, Andrew Cox
wiley   +1 more source

Adversarial robust EEG-based brain-computer interfaces using a hierarchical convolutional neural network. [PDF]

Sci Rep
Samuel J, Murugan TK, Govindaraj L, Balaji M, SenthilKumar V, Sundararajan S.   +5 more
europepmc   +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

Evaluating gait system vulnerabilities through PPO and GAN-generated adversarial attacks. [PDF]

Sci Rep
Saoudi EM, Jaafari J, Jai Andaloussi S.
europepmc   +1 more source

Cutting edge strategies for diabetic wound care: Nanotechnology, bioengineering, and beyond

BMEMat, EarlyView.
Graphical abstract illustrates the challenges in diabetic wound healing, covering pathophysiology, formulation hurdles, and emerging therapeutic strategies. It highlights the role of hyperglycemia, formulation complexities, and advanced technologies like bioprinting and AI in improving diabetic wound management. Abstract Diabetic wounds affect millions
Usama Ahmad, Wan Nurhidayah Wan Hanaffi, Anas Islam, Aimen Salman, Mohd Muazzam Khan, Faiyaz Shakeel, Qiang Cai, Xiaojun Cai, Quazi T. H. Shubhra   +8 more
wiley   +1 more source