An improved deepfake detection using deep learning

An improved deepfake detection using deep learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Bibliografiske detaljer
Main Authors:	Paul, Annay, Dey, Binayak Kumar, Mostafa, Md, Mosfakin, Maharin, Tonika, Rukshana Amin
Andre forfattere:	Hossain, Muhammad Iqbal
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2023
Fag:	Deepfake GAN CNN Reverse engineering of GM’s RNN Online manipulation > Prevention Deepfakes
Online adgang:	http://hdl.handle.net/10361/21834

Lignende værker

A machine learning approach to detect DeepFake videos
af: Hassan, Md. Mahedi, et al.
Udgivet: (2021)

Detection of Deepfake using computer vision and deep learning
af: Rahman, Anisur, et al.
Udgivet: (2023)

Detecting Deepfake images using deep convolutional neural network
af: Dhar, Arpita, et al.
Udgivet: (2022)

Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
af: Ishrak, Gazi Hasin, et al.
Udgivet: (2022)

Deepfake detection using neural networks
af: Sakib, Sadman, et al.
Udgivet: (2021)

Voice impersonation detection using LSTM based RNN and explainable AI
af: Barua, Kawshik, et al.
Udgivet: (2022)

Sound classification using deep learning for hard of hearing and deaf people
af: Habib, Md.Adnan, et al.
Udgivet: (2022)

Rumor detection in Bangla using machine learning & deep learning
af: Ahmed, Md Istiaq, et al.
Udgivet: (2023)

Vivian's Hyde
af: Bani, Wahida Munshi
Udgivet: (2024)

Autism detection based on MRI images using Deep Learning
af: Mostafa, Sadab, et al.
Udgivet: (2023)

The language of hermaphrodites as they speak their own special kind of language within their community in Bangladesh
af: Kaderi, Ahmed Salehin
Udgivet: (2010)

Manipulation of human mind through the power of discourse: a study on Bangladeshi call center conversations
af: Baidya, Tushar Kanti
Udgivet: (2017)

A knowledge-based perception analysis about Biotechnology among university students in Bangladesh
af: Ali, Fariha Fatema
Udgivet: (2024)

Application of deep learning in MRI classification of Schizophrenia
af: Joyee, Ramisa Fariha, et al.
Udgivet: (2024)

Crime mapping through digital data analysis from intermediate repository by crowd sourcing
af: Aunamika, Sabiha Islam, et al.
Udgivet: (2017)

Silent voice: harnessing deep learning for lip-reading in Bangla
af: Shaheen, Munia, et al.
Udgivet: (2024)

Predicting regional accents of Bengali language using deep learning
af: Ibrahim, Md. Abu, et al.
Udgivet: (2022)

Analysis of financial data on the time series using data from the stock market
af: Shachcha, Ifad Bhuiyan, et al.
Udgivet: (2022)

Managing products return: an examination of the practices of online retailers
af: Mursalin, Md. Jabir Al
Udgivet: (2016)

A GAN-based federated learning architecture for data augmentation of medical images
af: Al Rakin, Abdullah, et al.
Udgivet: (2023)

Bangla speech recognition using 1D CNN and LSTM with different dimension reduction techniques
af: Nirjhor, S M Mahsanul Islam, et al.
Udgivet: (2019)

Generation of realistic images from human drawn sketches using deep learning
af: Mahbub, Mohammed Julfikar Ali, et al.
Udgivet: (2022)

Detection of alzheimer's disease using deep learning
af: Hasan, Mahmudul, et al.
Udgivet: (2021)

Automatic helmet-less biker detection using deep learning
af: Ratul, Md. Ibrahim, et al.
Udgivet: (2024)

Surrounding-aware screen-space-global-illumination using generative adversarial network
af: Mahmud, Abrar, et al.
Udgivet: (2023)

Progress of edible vaccine development
af: Razna, Amrin Islam
Udgivet: (2022)

Human sentiment analysis using natural language processing
af: Shamya, Md. Shamiul Haque Khan, et al.
Udgivet: (2024)

Detecting brain tumor using deep neural networks from MRI images
af: Imamuzzaman, A.S.M., et al.
Udgivet: (2021)

Predicting effectiveness of marketing through analyzing emotional context in advertisement using deep learning
af: Arafat, Sheikh Mohammad, et al.
Udgivet: (2021)

Discourse analysis of telecom ads: a critical insight from the applied linguistics perspective
af: Dasgupta, Shatabdi
Udgivet: (2017)

Deep learning based early Glaucoma detection
af: Islam, Aabrar, et al.
Udgivet: (2024)

A hybrid rumor detection model derived from a comparative study of supervised approaches
af: Aothoi, Mehzabin Sadat, et al.
Udgivet: (2023)

UI development and functionality testing automation in android application
af: Taus, Shehjad Ali, et al.
Udgivet: (2024)

Bangla hate speech detection on social media using attention-based recurrent neural network
af: Das, Amit Kumar, et al.
Udgivet: (2022)

Retinal Diseases Detection using Deep Learning
af: Mashfi, Shahriar, et al.
Udgivet: (2023)

Supply chain finance & IDLC
af: Rahman, Md. Abidur
Udgivet: (2020)

Leveraging sequential deep learning models for detecting multitude of human action categories
af: Pranta, Kazi Al Refat, et al.
Udgivet: (2024)

An efficient deep learning approach to detect COVID-19 infected lungs using image data
af: Kabir, Asif Rezwan, et al.
Udgivet: (2022)

Image recognition by deep learning
af: Mohiuddin, Karishma, et al.
Udgivet: (2018)

A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium
af: Ahmed, Istiak, et al.
Udgivet: (2023)