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The Reflexive Turn in Systems Engineering: A Disciplinary Response to Complexity

open access: yesSystems Engineering, EarlyView.
ABSTRACT The Future of Systems Engineering (FuSE) programme has called for the discipline to evolve as a transdiscipline capable of engaging complex eco‐socio‐technical challenges. Yet the pace of that evolution has been slower than the arguments for it would predict. This article examines why.
Raul Leal Ascencio
wiley   +1 more source

Defensive Distillation is Not Robust to Adversarial Examples

open access: yesCoRR, 2016
We show that defensive distillation is not secure: it is no more resistant to targeted misclassification attacks than unprotected neural networks.
Nicholas Carlini, David A. Wagner 0001
openaire   +3 more sources

Investigating SME‐Inclusive Public‐Private AI Innovation Network: Evidence From U.S. Small Business Administration (1991–2023)

open access: yesThunderbird International Business Review, EarlyView.
ABSTRACT Understanding innovation policy is pivotal to enhancing national competitiveness for global value chain. This research investigates an SME‐Inclusive public‐private AI innovation network over time in the U.S. context (1991–2023), revealing how a government's demand‐based innovation policy bolsters technological prowess through isomorphism and ...
Jiyoon An
wiley   +1 more source

Knowing is Half the Battle: Enhancing Clean Data Accuracy of Adversarial Robust Deep Neural Networks via Dual-Model Bounded Divergence Gating

open access: yesIEEE Access
Significant advances have been made in recent years in improving the robustness of deep neural networks, particularly under adversarial machine learning scenarios where the data has been contaminated to fool networks into making undesirable predictions ...
Hossein Aboutalebi   +3 more
doaj   +1 more source

Moving target defense for adaptive adversaries

open access: yes2013 IEEE International Conference on Intelligence and Security Informatics, 2013
Machine learning (ML) plays a central role in the solution of many security problems, for example enabling malicious and innocent activities to be rapidly and accurately distinguished and appropriate actions to be taken. Unfortunately, a standard assumption in ML - that the training and test data are identically distributed - is typically violated in ...
Richard Colbaugh, Kristin Glass
openaire   +2 more sources

Factors influencing the nature of client complaint behaviour in the aftermath of adverse events

open access: yesVeterinary Record, Volume 196, Issue 6, 15/22 March 2025.
Abstract Background Negative veterinary client complaint behaviour poses wellbeing and reputational risks. Adverse events are one source of complaint. Identifying factors that influence adverse event‐related complaint behaviour is key to mitigating detrimental consequences and harnessing information that can be used to improve service quality, patient ...
Julie Gibson   +3 more
wiley   +1 more source

Nanomedicine applications in lymphoma: Advancing precision diagnostics, targeted therapeutics, and prospective developments

open access: yesVIEW, EarlyView.
Lymphoma is a group of blood cancers that can appear in lymph nodes, blood, bone marrow, spleen, liver, or the central nervous system, which makes drug delivery and disease monitoring difficult. This review summarizes how nanomedicine technologies may improve targeted treatment and imaging, while carefully separating approved or guideline‐supported ...
Mohd Ahmar Rauf   +5 more
wiley   +1 more source

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