Developing A Deepfake Detection Application

QR koda

Developing A Deepfake Detection Application

Graduation thesis of Information Technology; 2020 - 2025

Shranjeno v:

Bibliografske podrobnosti
Glavni avtor:	Vo, Thi Thao Vy
Drugi avtorji:	Le, Thi Thu Nga
Format:	Luận văn
Jezik:	English
Izdano:	Vietnam-Korea University of Information and Communication Technology 2025
Teme:	Deepfake
Online dostop:	https://elib.vku.udn.vn/handle/123456789/4842
Oznake:	Označite Brez oznak, prvi označite!

Thư viện lưu trữ:	Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng

Podobne knjige/članki

Deepfake Identity Risks and Its Financial Impact in Vietnam's Digital Era
od: Nguyen, Thi Khanh My, et al.
Izdano: (2025)

PHÁT HIỆN DEEPFAKE DỰA TRÊN HỌC SÂU
od: Lại, Minh Tuấn, et al.
Izdano: (2025)

Application Development to Detect and Analyze Negative Behavior
od: Le, Thi Hong Hanh
Izdano: (2025)

Development and application of different methods for the detection of toxoplasma gondii in water /

Nguy cơ tội phạm sử dụng công nghệ deepfake trong giao dịch ngân hàng
od: Phạm, Ngọc Minh, et al.
Izdano: (2025)

Nguy cơ tội phạm sử dụng công nghệ deepfake trong giao dịch ngân hàng
od: Phạm, Ngọc Minh, et al.
Izdano: (2025)

Tìm hiểu về một số phương pháp phát hiện ra Deepfake trong Deep learning
od: Nguyễn, Thu Huyền
Izdano: (2025)

Applications to Detect Pathology on Plants
od: Nguyen, Thi Phuong Thao
Izdano: (2023)

Development and application of monoclonal antibodies for in situ detection of indigenous bacterial strains in aquatic ecosystems /
od: Faude, U. C.

Food chemical hazard detection : development and application of new technologies |c Shuo Wang
od: Food chemical hazard detection : development and application of new technologies |c Shuo Wang, et al.
Izdano: (2014)

Development of a new seminested PCR method for detection of Legionella species and its application to surveillance of legionellae in hospital cooling tower water /

Development and application of detection indices for measuring guessing behaviors and test-taking effort in computerized adaptive testing /

Development and evaluation of microarray-based whole-genome hybridization for detection of microorganisms within the context of environmental applications /

Developing A Smart Personal Health Management Application
od: Nguyen, Tran Thuy Vy
Izdano: (2025)

Enhancement of immunocomplex detection and application to assays for DNA adduct of benzo[a]pyrene /

Research and development of a Fire Detection System using Deep Learning
od: Nguyen, Minh Tri
Izdano: (2024)

Development of a miniaturised potentiostat for urea detection using the LMP91000
od: Chi, Tran Nhu, et al.
Izdano: (2025)

Development of a Fake News Detection Tool for Vietnamese Based on Deep Learning Techniques
od: Vo, Trung Hung, et al.
Izdano: (2023)

Building a Network Attack Detection and Prevention System using a Web Application Firewall
od: Tran, Thien Thanh
Izdano: (2025)

Pressure-dependent leak detection model and its application to a district water system /
od: Wu, Zheng Yi.

Application of deep learning in chest X-ray abnormality detection
od: Nhan, Ngo, et al.
Izdano: (2025)

Development and application of 16S rRNA-targeted probes for detection of iron- and manganese-oxidizing sheathed bacteria in environmental samples /
od: Siering, P. L

Development of a PCB-based passive capacitive sensor for fluidic flow detection.
od: Nhu, Cuong Nguyen, et al.
Izdano: (2025)

Application of convolutional neural network for detecting concrete cracks
od: Tu, Tnguyen, et al.
Izdano: (2025)

A micromachined calorimetric gas sensor : An application of electrodeposited nanostructured palladium for the detection of combustible gases /
od: Bartlett, Philip N.

Development of a direct in situ PCR method for detection of specific bacteria in natural environments /
od: Tani, Katsuji.

A novel means to develop strain-specific DNA probes for detecting bacteria in the environment /

Developing a System for Detection and Warning Children in Locked-Vehicles using OpenCV
od: Nguyen, Anh Dao, et al.
Izdano: (2022)

A maximum likelihood method for detecting directional evolution in protein sequences and its application to influenza a virus /

APPLICATION DEEP LEARNING YOLOv8 MODEL FOR OBJECT DETECTION
od: Thi, Thanh Thuy Pham, et al.
Izdano: (2025)

Machine learning based intrusion detection model for Web applications
od: Le, Tan Viet
Izdano: (2025)

Research and development of an Intrusion Detection System in SDN Networks
od: Le, Nhat Xuan
Izdano: (2025)

Develop an immunomagnetic bead assay for the rapid detection of a major peanut allergen - Ara h 1
od: Nguyen, Thi Hien
Izdano: (2016)

Application of remote sensing for shoreline change detection in Cuu Long estuary /
od: Tran Thi Van.

An Intelligent Intrusion Detection Model for Website Applications using Machine Learning
od: Nguyen, Quoc An
Izdano: (2025)

Application of diamond microelectrodes for end-column electrochemical detection in capillary electrophoresis /

Enhanced workout training application: Pose detection and training plan customization
od: Hoang, Long, et al.
Izdano: (2024)

Hacking Web Apps: Detecting and Preventing Web Application Security Problems
od: Mike, Shema
Izdano: (2024)

A simple quenching method for fluorescence background reduction and its application to the direct, quantitative detection of specific mRNA /

Image Processing Application to Detect Driver Drowsiness using Raspberry PI kit
od: Nguyen, Van Chuc
Izdano: (2024)