Results 111 to 120 of about 79,918 (254)

Adversarial Defense for Medical Images

Electronics
The rapid advancement of deep learning is significantly hindered by its vulnerability to adversarial attacks, a critical concern in sensitive domains like medicine where misclassification can have severe, irreversible consequences. This issue directly underscores prediction unreliability and is central to the goals of Explainable Artificial ...
Min-Jen Tsai, Ya-Chu Lee, Hsin-Ying Lien, Cheng-Chien Liang   +3 more
openaire   +1 more source

Tales of Cyberspace and Artificial Intelligence: Diverging Stakeholderships?

Global Policy, EarlyView.
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

Western Balkans as the Frontline of Russian Hybrid Warfare

Global Policy, EarlyView.
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

Countering FIMI by Digital Authoritarianisms: Audience Architecture and Reverse Language Engineering

Global Policy, EarlyView.
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

A Gradual Adversarial Training Method for Semantic Segmentation

Remote Sensing
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

When Is an Audit “Good Enough”? Professional Ambiguity and Strategic Sensemaking During an Audit Oversight Inspection Quand un audit est‐il « assez réussi » ? Ambiguïté professionnelle et construction stratégique de sens lors d'une surveillance des audits

Contemporary Accounting Research, EarlyView.
ABSTRACT This paper draws on the social control and sensemaking literatures to study how a Big 4 audit firm in the Netherlands sought to contest the national oversight body's inspection findings on one of its audit engagements. Our case study leads us to develop the concept of professional ambiguity to capture the multiple, coexisting meanings and ...
Wendy Groot, Dominic Detzen, Anna Gold
wiley   +1 more source

Certified Defenses against Adversarial Examples

, 2018
While neural networks have achieved high accuracy on standard image classification benchmarks, their accuracy drops to nearly zero in the presence of small adversarial perturbations to test inputs. Defenses based on regularization and adversarial training have been proposed, but often followed by new, stronger attacks that defeat these defenses. Can we
Raghunathan, Aditi, Steinhardt, Jacob, Liang, Percy   +2 more
openaire   +2 more sources

The choice argument for proportional representation

American Journal of Political Science, EarlyView.
Abstract What electoral system should a democracy choose? I argue for proportional representation (PR). My main empirical premise is Duverger's law: Under PR there are more viable candidates in district‐level elections than there are under single‐member plurality (SMP) systems.
Adam Lovett
wiley   +1 more source

Strategic litigation as a challenge for deliberative democracy

American Journal of Political Science, EarlyView.
Abstract Strategic litigation is a growing public concern, but remains understudied in democratic theory. In strategic litigation, collectives go to court with a political agenda that goes beyond their specific case. How should we assess the legitimacy of strategic litigation? Building on Lafont's model of deliberative democracy and Klein's distinction
Svenja Ahlhaus
wiley   +1 more source

On account of doomsday

American Ethnologist, EarlyView.
Abstract In recent years, Berlin has emerged as an epicenter of climate activism in Germany. There, a range of groups have mobilized in opposition to the role of the German state and the EU in accelerating the climate crisis. Many activists now see conventional political responses as exhausted and have turned to increasingly radical forms of civil ...
Max Jack
wiley   +1 more source