Results 31 to 40 of about 503,159 (305)

Restricted Evasion Attack: Generation of Restricted-Area Adversarial Example

IEEE Access, 2019
Deep neural networks (DNNs) show superior performance in image and speech recognition. However, adversarial examples created by adding a little noise to an original sample can lead to misclassification by a DNN.
Hyun Kwon, Hyunsoo Yoon, Daeseon Choi
doaj   +1 more source

Detecting Backdoor Attacks via Class Difference in Deep Neural Networks

IEEE Access, 2020
A backdoor attack implies that deep neural networks misrecognize data that have a specific trigger by additionally training the malicious training data, including the specific trigger to the deep neural network model.
Hyun Kwon
doaj   +1 more source

Staphylococcus aureus uses the ArlRS and MgrA cascade to regulate immune evasion during skin infection

Cell Reports, 2021
Summary: Skin is one of the most common sites of host immune response against Staphylococcus aureus infection. Here, through a combination of in vitro assays, mouse models, and intravital imaging, we find that S.
Jakub M. Kwiecinski, Rachel M. Kratofil, Corey P. Parlet, Bas G.J. Surewaard, Paul Kubes, Alexander R. Horswill   +5 more
doaj   +1 more source

Research on filter-based adversarial feature selection against evasion attacks

Dianxin kexue, 2023
With the rapid development and widespread application of machine learning technology, its security has attracted increasing attention, leading to a growing interest in adversarial machine learning.In adversarial scenarios, machine learning techniques are
Qimeng HUANG, Miaomiao WU, Yun LI
doaj  

Hijacking emergency granulopoiesis: Neutrophil ontogeny and reprogramming in cancer

Molecular Oncology, EarlyView.
Neutrophils are highly plastic innate immune cells; their functions in cancer extend beyond the tumour microenvironment. This Review summarises current understanding of neutrophil maturation and heterogeneity and highlights tumour‐induced granulopoiesis as a systemic programme that expands immature, immunosuppressive neutrophils via tumour‐derived ...
Gabriela Marinescu, Yi Feng
wiley   +1 more source

The immune evasion ability of Delta variant is comparable to that of Beta variant in South Africa

BMC Public Health, 2023
Background The high immune evasion ability of SARS-COV-2 Omicron variant surprised the world and appears to be far stronger than any previous variant.
Daihai He, Boqiang Chen, Shi Zhao, Lewi Stone   +3 more
doaj   +1 more source

Profiling neoadjuvant therapy response in rectal cancer using meta‐analysis of publicly available transcriptomic RNA‐seq datasets

Molecular Oncology, EarlyView.
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic, Rafael Stroggilos, Mladen Marinkovic, Ana Djuric, Suzana Stojanovic‐Rundic, Radmila Jankovic, Sergi Castellvi‐Bel, Remond J.A. Fijneman, Antonia Vlahou, Jerome Zoidakis, Milena Cavic   +10 more
wiley   +1 more source

Defending the Defender: Adversarial Learning Based Defending Strategy for Learning Based Security Methods in Cyber-Physical Systems (CPS)

Sensors, 2023
Cyber-Physical Systems (CPS) are prone to many security exploitations due to a greater attack surface being introduced by their cyber component by the nature of their remote accessibility or non-isolated capability.
Zakir Ahmad Sheikh, Yashwant Singh, Pradeep Kumar Singh, Paulo J. Sequeira Gonçalves   +3 more
doaj   +1 more source

Unique circulating miRNAome signatures captured with distinct molecular states in Lynch syndrome and sporadic colorectal cancer

Molecular Oncology, EarlyView.
Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso, Md Shohel Ul Islam, Rosa M Xicola, Raj Ramesar, Xavier Llor, Sinclair Steele   +5 more
wiley   +1 more source

Enhancing reinforcement learning based adversarial malware generation to evade static detection

Alexandria Engineering Journal
The anti-detection capabilities of adversarial malware examples have drawn the attention of antivirus vendors and researchers. In black-box scenarios where internal information of the target model cannot be accessed, with the ability of the reinforcement
Dazhi Zhan, Yanyan Zhang, Ling Zhu, Jun Chen, Shiming Xia, Shize Guo, Zhisong Pan   +6 more
doaj   +1 more source