Results 41 to 50 of about 503,159 (305)
Complement Attack against Aspergillus and Corresponding Evasion Mechanisms
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
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
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
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
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
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
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
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
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
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

