Results 141 to 150 of about 7,737 (292)
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
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
MAD: meta adversarial defense benchmark
Adversarial training (AT) is a prominent technique employed by deep learning models to defend against adversarial attacks, and to some extent, enhance model robustness. However, there are three main drawbacks of the existing AT-based defense methods: expensive computational cost, low generalization ability, and the dilemma between the original model ...
Peng, X. +4 more
openaire +2 more sources
Adversarial Defense via Neural Oscillation inspired Gradient Masking
Spiking neural networks (SNNs) attract great attention due to their low power consumption, low latency, and biological plausibility. As they are widely deployed in neuromorphic devices for low-power brain-inspired computing, security issues become ...
Zhang, Yilei, Jiang, Chunming
core +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
Randomized Purifier Based on Low Adversarial Transferability for Adversarial Defense
Deep neural networks are generally very vulnerable to adversarial attacks. In order to defend against adversarial attacks in classifiers, Adversarial Purification (AP) was developed to neutralize adversarial perturbations using a generative model at the ...
Byung Cheol Song +2 more
core +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
IDEA: Invariant Defense for Graph Adversarial Robustness
Despite the success of graph neural networks (GNNs), their vulnerability to adversarial attacks poses tremendous challenges for practical applications.
Shen, Huawei +5 more
core +1 more source
Adversarial attacks and defense for arrhythmia classification
The electrocardiogram (ECG) has been around the medical industry since the start of development of heart monitoring techniques. It has improved heart-based monitoring and paved the way for further accurate monitoring techniques.
Jayhne, Mukkul I
core
Countering FIMI by Digital Authoritarianisms: Audience Architecture and Reverse Language Engineering
ABSTRACT Foreign information manipulation and interference (FIMI) campaigns on social media are currently both more accessible and more impactful than the North Atlantic Treaty Organization's (NATO) or European Union's (EU), offering their opponents superiority and efficiency on those platforms.
Michelangelo Conoscenti
wiley +1 more source

