Results 111 to 120 of about 7,756 (262)
Abstract Research on how delinquent peer associations affect individuals’ life courses is limited. This paper addresses this gap by examining delinquent peer network characteristics and their impact on offending trajectories through social network analysis (SNA) and group‐based trajectory modeling (GBTM).
Daniel Trovato
wiley +1 more source
Research on adversarial attack and defense of photovoltaic power prediction
Deep neural networks have been widely used in photovoltaic power prediction, but they are vulnerable to adversarial attacks. In order to improve the robustness of the prediction model, an adversarial attack algorithm based on fast gradient sign method ...
Zhou Wang
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
CycleGAN-Gradient Penalty for Enhancing Android Adversarial Malware Detection in Gray Box Setting
Adversarial attacks pose significant threats to Android malware detection by undermining the effectiveness of machine learning-based systems. The rapid increase in Android apps complicates the management of malicious software that can compromise user ...
Fabrice Setephin Atedjio +4 more
doaj +1 more source
Western Balkans as the Frontline of Russian Hybrid Warfare
ABSTRACT Hybrid warfare (HW) scholarship acknowledges the phenomenon's contextual and temporal specificity, yet its dominant conceptual framing has generated a literature largely centred on identifying and categorising hybrid activities. This focus has left the contextual vulnerabilities that enable hybrid threats (HTs) and shape an adversary's ...
Vesna Bojicic‐Dzelilovic
wiley +1 more source
Increasing the Robustness of Image Quality Assessment Models Through Adversarial Training
The adversarial robustness of image quality assessment (IQA) models to adversarial attacks is emerging as a critical issue. Adversarial training has been widely used to improve the robustness of neural networks to adversarial attacks, but little in-depth
Anna Chistyakova +6 more
doaj +1 more source
ABSTRACT Canada's rapidly evolving demographic landscape presents Canadian accounting firms and practitioners with both an imperative and an opportunity to employ diverse accounting professionals—yet despite widespread adoption of diversity, equity, and inclusion (DEI) initiatives, a persistent gap exists between stated commitments and realized ...
Narjis F. Karani, Charles H. Cho
wiley +1 more source
Deep Reinforcement Learning-Based Adversarial Attack and Defense in Industrial Control Systems
Adversarial attacks targeting industrial control systems, such as the Maroochy wastewater system attack and the Stuxnet worm attack, have caused significant damage to related facilities.
Mun-Suk Kim
doaj +1 more source
Rigid Body Adversarial Attacks
Due to their performance and simplicity, rigid body simulators are often used in applications where the objects of interest can considered very stiff. However, no material has infinite stiffness, which means there are potentially cases where the non-zero compliance of the seemingly rigid object can cause a significant difference between its ...
Aravind Ramakrishnan +2 more
openaire +2 more sources
The three‐step test in international copyright—a global framework for generative AI training
Abstract The training of generative artificial intelligence (genAI) models involves the processing of large datasets, which often include copyrighted materials, thereby raising questions of copyright infringement. These questions tend to center on whether such use constitutes fair use or falls under text and data mining (TDM) exceptions.
Nicola Lucchi +2 more
wiley +1 more source

