Results 41 to 50 of about 3,276,744 (244)
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
Molecular Oncology, EarlyView.This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
Molecular Oncology, EarlyView.The kinase SRPK1 directly interacts with the protein TOPBP1 and regulates the pre‐mRNA splicing of WIZ thereby contributing to the activation of the ATR/CHK1 replicative checkpoint in response to replicative stress. This allows cancer cells' genomic stability and survival.
Amani Shreim +17 more
wiley +1 more source
A Black-box Attack on Fixed-Unitary Quantum Encryption Schemes [PDF]
We show how fixed-unitary quantum encryption schemes can be attacked in a black-box setting. We use an efficient technique to invert a unitary transformation on a quantum computer to retrieve an encrypted secret quantum state $\ket{\psi}$.
Cezary Pilaszewicz +2 more
core +4 more sources
Student surpasses teacher:Imitation attack for black-box NLP APIs [PDF]
, 2022 Machine-learning-as-a-service (MLaaS) has attracted millions of users to their splendid large-scale models. Although published as black-box APIs, the valuable models behind these services are still vulnerable to imitation attacks.
Lyu, Lingjuan +4 more
core +4 more sources
Detecting Black-Box Model Probing Attacks Through Probability Scores
IEEE AccessIn the black-box model probing attack, the attacker sends a series of model inference requests to a victim model to map out the classification boundary of the model.
Yongzhi Wang +5 more
doaj +1 more source
Frontiers in Neurorobotics, 2021 Deep neural networks (DNNs) are proven vulnerable to attack against adversarial examples. Black-box transfer attacks pose a massive threat to AI applications without accessing target models.
Pengfei Xie +8 more
doaj +1 more source
FEBS Open Bio, EarlyView.Abruptly changing from aerobic to anaerobic conditions (sudden anaerobization) induced growth inhibition and a significant increase in intracellular labile ferrous iron in the aerotolerant anaerobe Amphibacillus xylanus. We found that free flavins mediate efficient electron transfer from NADH to ferric iron under anaerobic conditions, suggesting that ...
Shinya Kimata +13 more
wiley +1 more source
DifAttack: Query-Efficient Black-Box Attack via Disentangled Feature Space [PDF]
, 2023 This work investigates efficient score-based black-box adversarial attacks with a high Attack Success Rate (ASR) and good generalizability. We design a novel attack method based on a Disentangled Feature space, called DifAttack, which differs ...
Jun, Liu +3 more
core +1 more source
SPG4 and Dementia: Expanding the Clinical Spectrum
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Hereditary spastic paraplegia (HSP) is a group of disorders characterized by progressive spasticity and lower limb weakness, with mutations in SPG4/SPAST being the most common cause. Detailed studies and clinical and molecular comparisons across different populations are missing.
Emanuele Panza +19 more
wiley +1 more source
Black-Box Universal Adversarial Attack for DNN-Based Models of SAR Automatic Target Recognition
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingSynthetic aperture radar automatic target recognition (SAR-ATR) models based on deep neural networks (DNNs) are vulnerable to attacks of adversarial examples. Universal adversarial attack algorithms can help evaluate and improve the robustness of the SAR-
Xuanshen Wan +5 more
doaj +1 more source