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Adversarial Sampling for Fairness Testing in Deep Neural Network

Adversarial Sampling for Fairness Testing in Deep Neural Network

International Journal of Advanced Computer Science and Applications (IJACSA), 2023
6 March 2023
Tosin Ige
William Marfo
Justin Tonkinson
Sikiru Adewale
Bolanle Hafiz Matti
    OOD
ArXiv (abs)PDFHTML

Papers citing "Adversarial Sampling for Fairness Testing in Deep Neural Network"

3 / 3 papers shown
Title
Deep Learning-Based Speech and Vision Synthesis to Improve Phishing
  Attack Detection through a Multi-layer Adaptive Framework
Deep Learning-Based Speech and Vision Synthesis to Improve Phishing Attack Detection through a Multi-layer Adaptive Framework
Tosin Ige
Christopher Kiekintveld
Aritran Piplai
AAML
90
8
0
27 Feb 2024
An Investigation into the Performances of the State-of-the-art Machine
  Learning Approaches for Various Cyber-attack Detection: A Survey
An Investigation into the Performances of the State-of-the-art Machine Learning Approaches for Various Cyber-attack Detection: A Survey
Tosin Ige
Christopher Kiekintveld
Aritran Piplai
AAML
258
6
0
26 Feb 2024
Encoder-Decoder Based Long Short-Term Memory (LSTM) Model for Video
  Captioning
Encoder-Decoder Based Long Short-Term Memory (LSTM) Model for Video Captioning
Sikiru Adewale
Tosin Ige
Bolanle Hafiz Matti
VLM
130
6
0
02 Oct 2023
1