Results 41 to 50 of about 503,159 (305)

Complement Attack against Aspergillus and Corresponding Evasion Mechanisms

open access: yesInterdisciplinary Perspectives on Infectious Diseases, 2012
Invasive aspergillosis shows a high mortality rate particularly in immunocompromised patients. Perpetually increasing numbers of affected patients highlight the importance of a clearer understanding of interactions between innate immunity and fungi ...
Cornelia Speth, Günter Rambach
doaj   +1 more source

Targeting the EpCAM‐AXL axis to overcome drug resistance in lung cancer

open access: yesMolecular Oncology, EarlyView.
Lung cancer cells often evade therapy by hijacking signaling pathways. We reveal that cleaved EpCAM (sEpCAM) stabilizes the oncogenic protein AXL, driving NF‐κB and STAT3‐mediated chemoresistance. This EpCAM‐AXL axis identifies a high‐risk patient subset with poor prognosis.
Alexa Guerrero‐Alba   +5 more
wiley   +1 more source

AI Under Attack: Metric-Driven Analysis of Cybersecurity Threats in Deep Learning Models for Healthcare Applications

open access: yesAlgorithms
Incorporating Artificial Intelligence (AI) in healthcare has transformed disease diagnosis and treatment by offering unprecedented benefits. However, it has also revealed critical cybersecurity vulnerabilities in Deep Learning (DL) models, which raise ...
Sarfraz Brohi, Qurat-ul-ain Mastoi
doaj   +1 more source

Multi-Targeted Adversarial Example in Evasion Attack on Deep Neural Network

open access: yesIEEE Access, 2018
Deep neural networks (DNNs) are widely used for image recognition, speech recognition, pattern analysis, and intrusion detection. Recently, the adversarial example attack, in which the input data are only slightly modified, although not an issue for ...
Hyun Kwon   +4 more
doaj   +1 more source

Characterization of therapeutic antibodies targeting lymphatic and vascular resistance factor for the treatment of hypervascularized and highly metastatic cancers

open access: yesMolecular Oncology, EarlyView.
LVRF (lymphatic and vascular resistance factor) is a VEGFA splice variant upregulated in response to anti‐angiogenic therapy that fosters tumor adaptation through enhanced vascularization, lymphangiogenesis, and metastatic dissemination. Targeting LVRF with fully human neutralizing antibodies disrupts these processes and limits resistant tumor growth ...
Marion David   +12 more
wiley   +1 more source

Characterizing Internal Evasion Attacks in Federated Learning

open access: yes, 2022
16 pages, 8 figures (14 images if counting sub-figures separately), Camera ready version for AISTATS 2023, longer version of paper submitted to CrossFL 2022 poster workshop, code available at (https://github.com/tj-kim/pFedDef_v1)
Taejin Kim   +3 more
openaire   +3 more sources

Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level

open access: yesAging and Cancer, EarlyView.
This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley   +1 more source

Deceptive Maneuvers: Subverting CNN-AdaBoost Model for Energy Theft Detection

open access: yesElectronics
As deep learning models become more prevalent in smart grid systems, ensuring their accuracy in tasks like identifying abnormal customer behavior is increasingly important.
Santosh Nirmal, Pramod Patil
doaj   +1 more source

Phase‐Pure and Size‐Tunable Tin Halide Perovskite Quantum Dots

open access: yesAdvanced Materials, EarlyView.
A trioctylphosphine oxide modulated protocol allows for the synthesis and study of the optical properties of a broad library of tin halide perovskite quantum dots across multiple A‐ and X‐site compositions with precise size tuning while eliminating unwanted 2D phases.
Ole F. Dressler   +7 more
wiley   +1 more source

GAN-Based Evasion Attack in Filtered Multicarrier Waveforms Systems

open access: yesIEEE Transactions on Machine Learning in Communications and Networking
Generative adversarial networks (GANs), a category of deep learning models, have become a cybersecurity concern for wireless communication systems. These networks enable potential attackers to deceive receivers that rely on convolutional neural networks (
Kawtar Zerhouni   +5 more
doaj   +1 more source

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