Results 101 to 110 of about 7,756 (262)
DrLS: Distortion‐Resistant Lossless Steganography via Colour Depth Interpolation
ABSTRACT The lossless data steganography is to hide a certain amount of information into a container image. Previous lossless steganography methods fail to strike a balance between capacity, imperceptibility, accuracy, and robustness, commonly vulnerable to distortion on container images.
Youmin Xu +3 more
wiley +1 more source
This paper addresses the problem of dependence of the success rate of adversarial attacks to the deep neural networks on the biomedical image type and control parameters of generation of adversarial examples.
D. M. Voynov, V. A. Kovalev
doaj
ABSTRACT Accurate surface‐pressure prediction over broad operating envelopes is critical for supersonic aerodynamic analysis and design. To overcome the bottlenecks of traditional computational fluid dynamics (CFD) in real‐time performance and computational efficiency, data‐driven deep learning methods have emerged. However, existing data‐driven models
Hongbin Xu, Yin Long, Junlin Wu
wiley +1 more source
Adversarial Attacks on Variational Autoencoders
Adversarial attacks are malicious inputs that derail machine-learning models. We propose a scheme to attack autoencoders, as well as a quantitative evaluation framework that correlates well with the qualitative assessment of the attacks. We assess --- with statistically validated experiments --- the resistance to attacks of three variational ...
George Gondim-Ribeiro +2 more
openaire +2 more sources
ABSTRACT Accurate load forecasting and reliable anomaly detection are critical for the stable operation of modern smart grids (SGs), which increasingly rely on cyber‐connected infrastructures. However, the integration of smart metres and two‐way communication exposes SGs to data integrity attacks that can manipulate consumption measurements, degrade ...
Murad Ali Khan +4 more
wiley +1 more source
Enhancing Adversarial Defense via Brain Activity Integration Without Adversarial Examples
Adversarial attacks on large-scale vision–language foundation models, such as the contrastive language–image pretraining (CLIP) model, can significantly degrade performance across various tasks by generating adversarial examples that are ...
Tasuku Nakajima +4 more
doaj +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
Malware Evasion Attacks Against IoT and Other Devices: An Empirical Study
The Internet of Things (IoT) has grown rapidly due to artificial intelligence driven edge computing. While enabling many new functions, edge computing devices expand the vulnerability surface and have become the target of malware attacks.
Yan Xu +3 more
doaj +1 more source
Adversarial Attacks on Data Attribution
Accepted at the 13th International Conference on Learning Representations (ICLR 2025)
Xinhe Wang 0001 +3 more
openaire +3 more sources
Who Is a Patriotic Man? Rethinking Hegemonic Masculinity in Modern Iran
ABSTRACT This article examines the analytical viability of the concept of “hegemonic masculinity” in the historical study of masculinities in early‐twentieth‐century Iran (c.1890–1941). It argues that a radical problematizing of the concepts of hegemony, class, “the West,” and patriotism helps us move beyond the binaries of Western‐Iranian and modern ...
Ali Hashemian
wiley +1 more source

