Results 71 to 80 of about 1,143,792 (206)

Contributions to Large Scale Bayesian Inference and Adversarial Machine Learning [PDF]

, 2021
Víctor Gallego
openalex   +1 more source

Adversarial Machine Learning for NextG Covert Communications Using Multiple Antennas. [PDF]

Entropy (Basel), 2022
Kim B, Sagduyu Y, Davaslioglu K, Erpek T, Ulukus S.   +4 more
europepmc   +1 more source

Privacy Protection of Grid Users Data with Blockchain and Adversarial\n Machine Learning [PDF]

, 2021
Ibrahim Yilmaz, Kavish Kapoor, Ambareen Siraj, Mahmoud Abouyoussef   +3 more
openalex   +1 more source

Adversarial Machine Learning Attacks and Defense Methods in the Cyber\n Security Domain [PDF]

, 2020
Ihai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach   +3 more
openalex   +1 more source

Adversarial Security Attacks and Perturbations on Machine Learning and Deep Learning Methods [PDF]

, 2019
Arif Siddiqi
openalex   +1 more source

Adversarial Machine Learning: A Systematic Survey of Backdoor Attack, Weight Attack and Adversarial Example

arXiv.org, 2023
Baoyuan Wu, Li Liu, Zihao Zhu, Qingshan Liu, Zhaofeng He, Siwei Lyu   +5 more
semanticscholar   +1 more source

A Survey on Adversarial Attacks for Malware Analysis

IEEE Access
Machine learning-based malware analysis approaches are widely researched and deployed in critical infrastructures for detecting and classifying evasive and growing malware threats.
Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam, Pradip Kunwar, Bhavani Thuraisingham   +4 more
doaj   +1 more source

A Holistic Review of Machine Learning Adversarial Attacks in IoT Networks

Future Internet
With the rapid advancements and notable achievements across various application domains, Machine Learning (ML) has become a vital element within the Internet of Things (IoT) ecosystem.
Hassan Khazane, Mohammed Ridouani, Fatima Salahdine, N. Kaabouch   +3 more
semanticscholar   +1 more source

Network and cybersecurity applications of defense in adversarial attacks: A state-of-the-art using machine learning and deep learning methods

Journal of Intelligent Systems
This study aims to perform a thorough systematic review investigating and synthesizing existing research on defense strategies and methodologies in adversarial attacks using machine learning (ML) and deep learning methods.
Yahya Layth Khaleel, Mustafa Abdulfattah Habeeb, A. Albahri, Tahsien Al-Quraishi, O. Albahri, A. Alamoodi   +5 more
semanticscholar   +1 more source

Enhancing quantum adversarial robustness by randomized encodings

Physical Review Research
The interplay between quantum physics and machine learning gives rise to the emergent frontier of quantum machine learning, where advanced quantum learning models may outperform their classical counterparts in solving certain challenging problems ...
Weiyuan Gong, Dong Yuan, Weikang Li, Dong-Ling Deng   +3 more
doaj   +1 more source