Results 121 to 130 of about 82,924 (315)
Neural Network Repair With Shapley‐Guided Search
ABSTRACT The deployment of deep neural networks (DNNs) in safety‐critical domains is critically hampered by their vulnerability to defects, which can arise from malicious attacks or low‐quality data. Therefore, precisely locating the network components responsible for these defects, and subsequently repairing them without compromising overall model ...
Xiaofu Du +4 more
wiley +1 more source
Integrating machine learning into Automated Control Systems (ACS) enhances decision-making in industrial process management. One of the limitations to the widespread adoption of these technologies in industry is the vulnerability of neural networks to ...
Vitaliy Pozdnyakov +4 more
doaj +1 more source
Ensemble Methods as a Defense to Adversarial Perturbations Against Deep Neural Networks [PDF]
Thilo Strauss +3 more
openalex +1 more source
ABSTRACT It is widely recognised that many policy systems are complex, requiring collaboration across different organisations and sectors to address socioeconomic outcomes and inequalities. Yet, the public policy literature is dominated by rational–technical frameworks that struggle to understand complex systems. This paper applies ideas from the field
Jade Hart +3 more
wiley +1 more source
‘Pro‐Germans in the Pulpits’: The Queensland Presbyterian Church and the Great War
During World War I, Protestant churches in Australia, on the whole, enthusiastically supported the war effort. The Queensland Presbyterian Church was a significant exception. This study analyses discord and tensions among its clergymen about what constituted an appropriate response to the war.
Mark Cryle
wiley +1 more source
Minority Reports Defense: Defending Against Adversarial Patches [PDF]
Michael McCoyd +7 more
openalex +1 more source
Abstract Participants in Russia's 1825 Decembrist uprising against the Tsarist regime were, quite literally, a case study in French cultural influence upon Russia. This is particularly true as it relates to Russia's emotional cultures. Although this has not, traditionally, been the primary focus of historical analysis of this event (in Soviet or ...
ADAM COKER
wiley +1 more source
A Gradual Adversarial Training Method for Semantic Segmentation
Deep neural networks (DNNs) have achieved great success in various computer vision tasks. However, they are susceptible to artificially designed adversarial perturbations, which limit their deployment in security-critical applications.
Yinkai Zan, Pingping Lu, Tingyu Meng
doaj +1 more source
A “Tech First” Approach to Foreign Policy? The Three Meanings of Tech Diplomacy
ABSTRACT Scholars have recently argued that international politics is plagued by instability as the world rapidly transitions from one crisis to another. This state of “Permacrisis,” or permanent crises between states, is driven by technological innovations which create new kinds of crises and drive competitions between adversarial states.
Ilan Manor
wiley +1 more source
Tales of Cyberspace and Artificial Intelligence: Diverging Stakeholderships?
ABSTRACT This article traces the evolution of the Internet from the 1990s to the 2020s and compares it with the development of Artificial Intelligence (AI), particularly following the public launch of ChatGPT in late 2022. It identifies both parallels and divergencies between these two overlapping technological domains, focusing on the growing ...
Johan Eriksson, Giampiero Giacomello
wiley +1 more source

