Results 141 to 150 of about 1,185,392 (332)
Adversarial machine learning for network intrusion detection: A comparative study
Comput. Networks, 2022 Houda Jmila, Mohamed Ibn Khedher
semanticscholar +1 more source
Feature Disentangling and Combination Implemented by Spin–Orbit Torque Magnetic Tunnel Junctions
Advanced Intelligent Systems, EarlyView.Spin–orbit torque magnetic tunnel junctions (SOT‐MTJs) enable efficient feature disentangling and integration in image data. A proposed algorithm leverages SOT‐MTJs as true random number generators to disentangle and recombine features in real time, with experimental validation on emoji and facial datasets.
Xiaohan Li +15 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.Feature from recent image foundation models (DINOv2) are useful for vision tasks (segmentation, object localization) with little or no human input. Once upsampled, they can be used for weakly supervised micrograph segmentation, achieving strong results when compared to classical features (blurs, edge detection) across a range of material systems.
Ronan Docherty +2 more
wiley +1 more source
Evasive attacks against autoencoder-based cyberattack detection systems in power systems
Energy and AIThe digital transformation process of power systems towards smart grids is resulting in improved reliability, efficiency and situational awareness at the expense of increased cybersecurity vulnerabilities. Given the availability of large volumes of smart
Yew Meng Khaw +3 more
doaj +1 more source
Privacy Risks of Securing Machine Learning Models against Adversarial Examples [PDF]
, 2019 Liwei Song, Reza Shokri, Prateek Mittal
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 +4 more
wiley +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 +8 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 +9 more
wiley +1 more source