Results 21 to 30 of about 33,606 (255)

On the adversarial robustness of Bayesian machine learning models

, 2022
Bayesian machine learning (ML) models have long been advocated as an important tool for safe artificial intelligence. Yet, little is known about their vulnerability against adversarial attacks.
Blaas, Arno
core   +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   +2 more sources

Adversarial examples for extreme multilabel text classification

, 2022
Tallennetaan OA-artikkeli, kun julkaistuExtreme Multilabel Text Classification (XMTC) is a text classification problem in which, (i) the output space is extremely large, (ii) each data point may have multiple positive labels, and (iii) the data follows a
Babbar, Rohit, Mohammadnia Qaraei, Mohammadreza   +1 more
core   +1 more source

Fortifying Your Defenses: Techniques to Thwart Adversarial Attacks and Boost Performance of Machine Learning-Based Intrusion Detection Systems

, 2023
Machine learning has seen significant advancements in recent years and has proven to be highly effective in a wide range of applications, including intrusion detection systems (IDS).
Lou, Wenjing
core   +1 more source

A Robust Network Intrusion Detection System Using Random Forest Based Random Subspace Ensemble to Defend Against Adversarial Attacks

Advances in Electrical and Computer Engineering, 2023
In recent years, machine learning (ML) has had a significant influence on the discipline of computer security. In network security, intrusion detection systems increasingly employ machine learning techniques.
NATHANIEL, D., SOOSAI, A.
doaj   +1 more source

Development of a Machine-Learning Intrusion Detection System and Testing of Its Performance Using a Generative Adversarial Network

Sensors, 2023
Intrusion detection and prevention are two of the most important issues to solve in network security infrastructure. Intrusion detection systems (IDSs) protect networks by using patterns to detect malicious traffic. As attackers have tried to dissimulate
Andrei-Grigore Mari, Daniel Zinca, Virgil Dobrota   +2 more
doaj   +1 more source

A Distributed Biased Boundary Attack Method in Black-Box Attack

Applied Sciences, 2021
The adversarial samples threaten the effectiveness of machine learning (ML) models and algorithms in many applications. In particular, black-box attack methods are quite close to actual scenarios.
Fengtao Xiang, Jiahui Xu, Wanpeng Zhang, Weidong Wang   +3 more
doaj   +1 more source

Adversarial Machine Learning Based Partial-model Attack in IoT

, 2020
As Internet of Things (IoT) has emerged as the next logical stage of the Internet, it has become imperative to understand the vulnerabilities of the IoT systems when supporting diverse applications.
Lu, Zhuo, Xu, Jie, Sagduyu, Yalin, Zhao, Shangqing, Luo, Zhengping, Sagduyu, Yalin Evren   +5 more
core   +1 more source

SSQLi: A Black-Box Adversarial Attack Method for SQL Injection Based on Reinforcement Learning

Future Internet, 2023
SQL injection is a highly detrimental web attack technique that can result in significant data leakage and compromise system integrity. To counteract the harm caused by such attacks, researchers have devoted much attention to the examination of SQL ...
Yuting Guan, Junjiang He, Tao Li, Hui Zhao, Baoqiang Ma   +4 more
doaj   +1 more source

Machine Learning for Advanced Solar Cell Production. Adversarial Denoising, Sub-pixel Alignment and the Digital Twin

, 2021
Photovoltaic is a main pillar to achieve the transition towards a renewable energy supply. In order to continue the tremendous cost decrease of the last decades, novel cell technologies and production processes are implemented into mass production to ...
Demant, Matthias, Rein, Stefan, Woernhoer, A., Kovvali, Aditya Sai, Kunze, Philipp, Kurumundayil, Leslie Lydia   +5 more
core   +1 more source