Generation of black-box adversarial attacks using many independent objective-based algorithm for testing the robustness of deep neural networks-Reference-Cited by-同舟云学术

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Generation of black-box adversarial attacks using many independent objective-based algorithm for testing the robustness of deep neural networks

Published:2024-10 Issue: Volume:164 Page:111969
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Sahin Omur^ORCID

Publisher

Elsevier BV

Reference32 articles.

1. A subclass supported convolutional neural network for object detection and localization in remote-sensing images;Kilic;Int. J. Remote Sens.,2019

2. OPFaceNet: Optimized face recognition network for noise and occlusion affected face images using hyperparameters tuned convolutional neural network;Lokku;Appl. Soft Comput.,2022

3. Deep neural network for food image classification and nutrient identification: A systematic review;Kaur;Rev. Endocr. Metab. Disord.,2023

4. Enhancement of speech dynamics for voice activity detection using DNN;Dwijayanti;EURASIP J. Audio Speech Music Process.,2018

5. A new composite approach for COVID-19 detection in X-ray images using deep features;Ozcan;Appl. Soft Comput.,2021

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