Expansion-squeeze-excitation fusion network for elderly activity recognition
This work focuses on the task of elderly activity recognition, which is a challenging task due
to the existence of individual actions and human-object interactions in elderly activities …
to the existence of individual actions and human-object interactions in elderly activities …
Model inversion attack by integration of deep generative models: Privacy-sensitive face generation from a face recognition system
M Khosravy, K Nakamura, Y Hirose… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Cybersecurity in front of attacks to a face recognition system is an emerging issue in the
cloud era, especially due to its strong bonds with the privacy of the users registered to the …
cloud era, especially due to its strong bonds with the privacy of the users registered to the …
Constrained Adversarial Learning and its applicability to Automated Software Testing: a systematic review
Every novel technology adds hidden vulnerabilities ready to be exploited by a growing
number of cyber-attacks. Automated software testing can be a promising solution to quickly …
number of cyber-attacks. Automated software testing can be a promising solution to quickly …
Tree CycleGAN with maximum diversity loss for image augmentation and its application into gear pitting detection
Y Qin, Z Wang, D ** - Applied Soft Computing, 2022 - Elsevier
Visual detection is an available approach for measuring gear pitting. Unfortunately, the
number of gear pitting images is limited, resulting in that the detection accuracy of gear …
number of gear pitting images is limited, resulting in that the detection accuracy of gear …
[PDF][PDF] Realistic adversarial machine learning to improve network intrusion detection
JPM Vitorino - 2023 - recipp.ipp.pt
Modern organizations can significantly benefit from the use of Artificial Intelligence (AI), and
more specifically Machine Learning (ML), to tackle the growing number and increasing …
more specifically Machine Learning (ML), to tackle the growing number and increasing …
Enhanced face age progression and regression model using hyper-parameter tuning-large scale GAN by hybrid heuristic improvement
T Yadav, R Sachdeo - The Imaging Science Journal, 2024 - Taylor & Francis
The main challenge is to automate the model for aged or de-aged face generation.
However, there are certain limitations on accuracy for age estimation and identity …
However, there are certain limitations on accuracy for age estimation and identity …
Identification of Face Age Progression and Rejuvenation Using Generative Adversarial Networks
A Kulkarni, A Joshi - Generative Artificial Intelligence (AI) Approaches for …, 2025 - Springer
Face age synthesis aims to alter an individual's face to predict the facial image's future or
past appearance. Face age synthesis has applications in many areas, including law …
past appearance. Face age synthesis has applications in many areas, including law …