Towards targeted obfuscation of adversarial unsafe images using reconstruction and counterfactual super region attribution explainability

M Bethany, A Seong, SH Silva, N Beebe… - 32nd USENIX Security …, 2023 - usenix.org
Online Social Networks (OSNs) are increasingly used by perpetrators to harass their targets
via the exchange of unsafe images. Furthermore, perpetrators have resorted to using …

Adult content image recognition by Boltzmann machine limited and deep learning

S Karamizadeh, S Shojae Chaeikar, A Jolfaei - Evolutionary Intelligence, 2023 - Springer
Adult content images have a detrimental effect on Internet users, a significant number of
whom are minors. Therefore, it is essential to control and detecting adult content images …

A hybrid optimization-tuned deep convolutional neural network for bare skinned image classification in websites

J Gupta, S Pathak, G Kumar - Multimedia Tools and Applications, 2022 - Springer
With the advent of the Internet, social media, and mobile technologies, pornographic images
have been broadly disseminated and caused great destruction to the social stability and the …

Aquila coyote-tuned deep convolutional neural network for the classification of bare skinned images in websites

J Gupta, S Pathak, G Kumar - International Journal of Machine Learning …, 2022 - Springer
Pornographic websites become increasingly obdurate via disguising and misleading the
under-aged people, which obstruct the development of a healthy and safe network …

An evaluation of state-of-the-art object detectors for pornography detection

SL Hor, HA Karim, MHL Abdullah… - … on Signal and …, 2021 - ieeexplore.ieee.org
Pornographic and nudity content detection in videos is gaining importance as Internet grows
to become a source for exposure to such content. Recent literature involved pornography …

[HTML][HTML] Deep Active Learning for Pornography Recognition Using ResNet

SL Hor, N AlDahoul, HA Karim, MH Lye… - International Journal …, 2022 - ijtech.eng.ui.ac.id
The demand for nudity and pornographic content detection is increasing due to the
prevalence of media products containing sexually explicit content with Internet being the …

[PDF][PDF] Lspd: A large-scale pornographic dataset for detection and classification

DD Phan, TT Nguyen, QH Nguyen, HL Tran… - International Journal of …, 2022 - academia.edu
This paper introduces a new dataset named Large-Scale Pornographic Dataset for detection
and classification (LSPD) that intends to advance the standard quality of pornographic visual …

A Comparative Study of In-Domain vs Cross-Domain Learning for Porn Cartoon Classification

N AlDahoul, HA Karim, ASB Wazir… - … on Signal and …, 2021 - ieeexplore.ieee.org
Detection of adult contents such as pornography, sex, and nudity has been investigated
extensively in the literature. Recently, content moderator is a significant component for social …

[PDF][PDF] Automated Detection of Offensive Images and Sarcastic Memes in Social Media Through NLP

T Purnima, CK Rao - … Journal of Advanced Computer Science & …, 2024 - saiconferences.com
In this digital era, social media is one of the key platforms for collecting customer feedback
and reflecting their views on various aspects, including products, services, brands, events …

[PDF][PDF] Joint inter-intra representation learning for pornographic video classification

DD Phan, QH Nguyen, TT Nguyen… - … Journal of Electrical …, 2022 - pdfs.semanticscholar.org
This paper addresses video inter-intra similarity retrieval for pornographic classification. The
main approaching method is obtaining the internal representation and external similarity …