Статті в журналах з теми "FAKE VIDEOS"
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Abidin, Muhammad Indra, Ingrid Nurtanio, and Andani Achmad. "Deepfake Detection in Videos Using Long Short-Term Memory and CNN ResNext." ILKOM Jurnal Ilmiah 14, no. 3 (December 19, 2022): 178–85. http://dx.doi.org/10.33096/ilkom.v14i3.1254.178-185.
Повний текст джерелаLópez-Gil, Juan-Miguel, Rosa Gil, and Roberto García. "Do Deepfakes Adequately Display Emotions? A Study on Deepfake Facial Emotion Expression." Computational Intelligence and Neuroscience 2022 (October 18, 2022): 1–12. http://dx.doi.org/10.1155/2022/1332122.
Повний текст джерелаArunkumar, P. M., Yalamanchili Sangeetha, P. Vishnu Raja, and S. N. Sangeetha. "Deep Learning for Forgery Face Detection Using Fuzzy Fisher Capsule Dual Graph." Information Technology and Control 51, no. 3 (September 23, 2022): 563–74. http://dx.doi.org/10.5755/j01.itc.51.3.31510.
Повний текст джерелаWang, Shuting (Ada), Min-Seok Pang, and Paul Pavlou. "Seeing Is Believing? How Including a Video in Fake News Influences Users’ Reporting of Fake News to Social Media Platforms." MIS Quarterly 45, no. 3 (September 1, 2022): 1323–54. http://dx.doi.org/10.25300/misq/2022/16296.
Повний текст джерелаDeng, Liwei, Hongfei Suo, and Dongjie Li. "Deepfake Video Detection Based on EfficientNet-V2 Network." Computational Intelligence and Neuroscience 2022 (April 15, 2022): 1–13. http://dx.doi.org/10.1155/2022/3441549.
Повний текст джерелаShahar, Hadas, and Hagit Hel-Or. "Fake Video Detection Using Facial Color." Color and Imaging Conference 2020, no. 28 (November 4, 2020): 175–80. http://dx.doi.org/10.2352/issn.2169-2629.2020.28.27.
Повний текст джерелаLin, Yih-Kai, and Hao-Lun Sun. "Few-Shot Training GAN for Face Forgery Classification and Segmentation Based on the Fine-Tune Approach." Electronics 12, no. 6 (March 16, 2023): 1417. http://dx.doi.org/10.3390/electronics12061417.
Повний текст джерелаLiang, Xiaoyun, Zhaohong Li, Zhonghao Li, and Zhenzhen Zhang. "Fake Bitrate Detection of HEVC Videos Based on Prediction Process." Symmetry 11, no. 7 (July 15, 2019): 918. http://dx.doi.org/10.3390/sym11070918.
Повний текст джерелаPei, Pengfei, Xianfeng Zhao, Jinchuan Li, Yun Cao, and Xuyuan Lai. "Vision Transformer-Based Video Hashing Retrieval for Tracing the Source of Fake Videos." Security and Communication Networks 2023 (June 28, 2023): 1–16. http://dx.doi.org/10.1155/2023/5349392.
Повний текст джерелаDas, Rashmiranjan, Gaurav Negi, and Alan F. Smeaton. "Detecting Deepfake Videos Using Euler Video Magnification." Electronic Imaging 2021, no. 4 (January 18, 2021): 272–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.4.mwsf-272.
Повний текст джерелаMaras, Marie-Helen, and Alex Alexandrou. "Determining authenticity of video evidence in the age of artificial intelligence and in the wake of Deepfake videos." International Journal of Evidence & Proof 23, no. 3 (October 28, 2018): 255–62. http://dx.doi.org/10.1177/1365712718807226.
Повний текст джерелаJin, Xinlei, Dengpan Ye, and Chuanxi Chen. "Countering Spoof: Towards Detecting Deepfake with Multidimensional Biological Signals." Security and Communication Networks 2021 (April 22, 2021): 1–8. http://dx.doi.org/10.1155/2021/6626974.
Повний текст джерелаSanilM, Rithvika, S. Saathvik, Rithesh RaiK, and Srinivas P M. "DEEPFAKE DETECTION USING EYE-BLINKING PATTERN." International Journal of Engineering Applied Sciences and Technology 7, no. 3 (July 1, 2022): 229–34. http://dx.doi.org/10.33564/ijeast.2022.v07i03.036.
Повний текст джерелаAwotunde, Joseph Bamidele, Rasheed Gbenga Jimoh, Agbotiname Lucky Imoize, Akeem Tayo Abdulrazaq, Chun-Ta Li, and Cheng-Chi Lee. "An Enhanced Deep Learning-Based DeepFake Video Detection and Classification System." Electronics 12, no. 1 (December 26, 2022): 87. http://dx.doi.org/10.3390/electronics12010087.
Повний текст джерелаQi, Peng, Yuyan Bu, Juan Cao, Wei Ji, Ruihao Shui, Junbin Xiao, Danding Wang, and Tat-Seng Chua. "FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 12 (June 26, 2023): 14444–52. http://dx.doi.org/10.1609/aaai.v37i12.26689.
Повний текст джерелаLai, Zhimao, Yufei Wang, Renhai Feng, Xianglei Hu, and Haifeng Xu. "Multi-Feature Fusion Based Deepfake Face Forgery Video Detection." Systems 10, no. 2 (March 7, 2022): 31. http://dx.doi.org/10.3390/systems10020031.
Повний текст джерелаDoke, Yash. "Deep fake Detection Through Deep Learning." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (May 31, 2023): 861–66. http://dx.doi.org/10.22214/ijraset.2023.51630.
Повний текст джерелаNoreen, Iram, Muhammad Shahid Muneer, and Saira Gillani. "Deepfake attack prevention using steganography GANs." PeerJ Computer Science 8 (October 20, 2022): e1125. http://dx.doi.org/10.7717/peerj-cs.1125.
Повний текст джерелаGarcía-Retuerta, David, Álvaro Bartolomé, Pablo Chamoso, and Juan Manuel Corchado. "Counter-Terrorism Video Analysis Using Hash-Based Algorithms." Algorithms 12, no. 5 (May 24, 2019): 110. http://dx.doi.org/10.3390/a12050110.
Повний текст джерелаMegawan, Sunario, Wulan Sri Lestari, and Apriyanto Halim. "Deteksi Non-Spoofing Wajah pada Video secara Real Time Menggunakan Faster R-CNN." Journal of Information System Research (JOSH) 3, no. 3 (April 29, 2022): 291–99. http://dx.doi.org/10.47065/josh.v3i3.1519.
Повний текст джерелаFerreira, Sara, Mário Antunes, and Manuel E. Correia. "Exposing Manipulated Photos and Videos in Digital Forensics Analysis." Journal of Imaging 7, no. 7 (June 24, 2021): 102. http://dx.doi.org/10.3390/jimaging7070102.
Повний текст джерелаWu, Nan, Xin Jin, Qian Jiang, Puming Wang, Ya Zhang, Shaowen Yao, and Wei Zhou. "Multisemantic Path Neural Network for Deepfake Detection." Security and Communication Networks 2022 (October 11, 2022): 1–14. http://dx.doi.org/10.1155/2022/4976848.
Повний текст джерелаThaseen Ikram, Sumaiya, Priya V, Shourya Chambial, Dhruv Sood, and Arulkumar V. "A Performance Enhancement of Deepfake Video Detection through the use of a Hybrid CNN Deep Learning Model." International journal of electrical and computer engineering systems 14, no. 2 (February 27, 2023): 169–78. http://dx.doi.org/10.32985/ijeces.14.2.6.
Повний текст джерелаAshish Ransom, Shashank Shekhar,. "Ethical & Legal Implications of Deep Fake Technology: A Global Overview." Proceeding International Conference on Science and Engineering 11, no. 1 (February 18, 2023): 2226–35. http://dx.doi.org/10.52783/cienceng.v11i1.398.
Повний текст джерелаSaealal, Muhammad Salihin, Mohd Zamri Ibrahim, David J. Mulvaney, Mohd Ibrahim Shapiai, and Norasyikin Fadilah. "Using cascade CNN-LSTM-FCNs to identify AI-altered video based on eye state sequence." PLOS ONE 17, no. 12 (December 15, 2022): e0278989. http://dx.doi.org/10.1371/journal.pone.0278989.
Повний текст джерелаHubálovský, Štěpán, Pavel Trojovský, Nebojsa Bacanin, and Venkatachalam K. "Evaluation of deepfake detection using YOLO with local binary pattern histogram." PeerJ Computer Science 8 (September 13, 2022): e1086. http://dx.doi.org/10.7717/peerj-cs.1086.
Повний текст джерелаTambe, Swapnali, Anil Pawar, and S. K. Yadav. "Deep fake videos identification using ANN and LSTM." Journal of Discrete Mathematical Sciences and Cryptography 24, no. 8 (November 17, 2021): 2353–64. http://dx.doi.org/10.1080/09720529.2021.2014140.
Повний текст джерелаMuqsith, Munadhil Abdul, and Rizky Ridho Pratomo. "The Development of Fake News in the Post-Truth Age." SALAM: Jurnal Sosial dan Budaya Syar-i 8, no. 5 (September 22, 2021): 1391–406. http://dx.doi.org/10.15408/sjsbs.v8i5.22395.
Повний текст джерелаIsmail, Aya, Marwa Elpeltagy, Mervat S. Zaki, and Kamal Eldahshan. "A New Deep Learning-Based Methodology for Video Deepfake Detection Using XGBoost." Sensors 21, no. 16 (August 10, 2021): 5413. http://dx.doi.org/10.3390/s21165413.
Повний текст джерелаIsmail, Aya, Marwa Elpeltagy, Mervat Zaki, and Kamal A. ElDahshan. "Deepfake video detection: YOLO-Face convolution recurrent approach." PeerJ Computer Science 7 (September 21, 2021): e730. http://dx.doi.org/10.7717/peerj-cs.730.
Повний текст джерелаNassif, Ali Bou, Qassim Nasir, Manar Abu Talib, and Omar Mohamed Gouda. "Improved Optical Flow Estimation Method for Deepfake Videos." Sensors 22, no. 7 (March 24, 2022): 2500. http://dx.doi.org/10.3390/s22072500.
Повний текст джерелаYavuzkilic, Semih, Abdulkadir Sengur, Zahid Akhtar, and Kamran Siddique. "Spotting Deepfakes and Face Manipulations by Fusing Features from Multi-Stream CNNs Models." Symmetry 13, no. 8 (July 26, 2021): 1352. http://dx.doi.org/10.3390/sym13081352.
Повний текст джерелаSohaib, Muhammad, and Samabia Tehseen. "Forgery detection of low quality deepfake videos." Neural Network World 33, no. 2 (2023): 85–99. http://dx.doi.org/10.14311/nnw.2023.33.006.
Повний текст джерелаBansal, Nency, Turki Aljrees, Dhirendra Prasad Yadav, Kamred Udham Singh, Ankit Kumar, Gyanendra Kumar Verma, and Teekam Singh. "Real-Time Advanced Computational Intelligence for Deep Fake Video Detection." Applied Sciences 13, no. 5 (February 27, 2023): 3095. http://dx.doi.org/10.3390/app13053095.
Повний текст джерелаSabah, Hanady. "Detection of Deep Fake in Face Images Using Deep Learning." Wasit Journal of Computer and Mathematics Science 1, no. 4 (December 31, 2022): 94–111. http://dx.doi.org/10.31185/wjcm.92.
Повний текст джерелаBilohrats, Khrystyna. "PECULIARITIES OF FAKE MEDIA MESSAGES (ON THE EXAMPLE OF RUSSIAN FAKES ABOUT UKRAINE)." Bulletin of Lviv Polytechnic National University: journalism 1, no. 2 (2021): 1–10. http://dx.doi.org/10.23939/sjs2021.02.001.
Повний текст джерелаShalini, S. "Fake Image Detection." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 15, 2021): 1140–45. http://dx.doi.org/10.22214/ijraset.2021.35238.
Повний текст джерелаDutta, Hridoy Sankar, Mayank Jobanputra, Himani Negi, and Tanmoy Chakraborty. "Detecting and Analyzing Collusive Entities on YouTube." ACM Transactions on Intelligent Systems and Technology 12, no. 5 (October 31, 2021): 1–28. http://dx.doi.org/10.1145/3477300.
Повний текст джерелаShan Bian, Weiqi Luo, and Jiwu Huang. "Exposing Fake Bit Rate Videos and Estimating Original Bit Rates." IEEE Transactions on Circuits and Systems for Video Technology 24, no. 12 (December 2014): 2144–54. http://dx.doi.org/10.1109/tcsvt.2014.2334031.
Повний текст джерелаLiang, Xiaoyun, Zhaohong Li, Yiyuan Yang, Zhenzhen Zhang, and Yu Zhang. "Detection of Double Compression for HEVC Videos With Fake Bitrate." IEEE Access 6 (2018): 53243–53. http://dx.doi.org/10.1109/access.2018.2869627.
Повний текст джерелаAlsakar, Yasmin M., Nagham E. Mekky, and Noha A. Hikal. "Detecting and Locating Passive Video Forgery Based on Low Computational Complexity Third-Order Tensor Representation." Journal of Imaging 7, no. 3 (March 5, 2021): 47. http://dx.doi.org/10.3390/jimaging7030047.
Повний текст джерелаBurgstaller, Markus, and Scott Macpherson. "Deepfakes in International Arbitration: How Should Tribunals Treat Video Evidence and Allegations of Technological Tampering?" Journal of World Investment & Trade 22, no. 5-6 (December 10, 2021): 860–90. http://dx.doi.org/10.1163/22119000-12340232.
Повний текст джерелаShahzad, Hina Fatima, Furqan Rustam, Emmanuel Soriano Flores, Juan Luís Vidal Mazón, Isabel de la Torre Diez, and Imran Ashraf. "A Review of Image Processing Techniques for Deepfakes." Sensors 22, no. 12 (June 16, 2022): 4556. http://dx.doi.org/10.3390/s22124556.
Повний текст джерелаWagner, Travis L., and Ashley Blewer. "“The Word Real Is No Longer Real”: Deepfakes, Gender, and the Challenges of AI-Altered Video." Open Information Science 3, no. 1 (January 1, 2019): 32–46. http://dx.doi.org/10.1515/opis-2019-0003.
Повний текст джерелаPérez Dasilva, Jesús, Koldobika Meso Ayerdi, and Terese Mendiguren Galdospin. "Deepfakes on Twitter: Which Actors Control Their Spread?" Media and Communication 9, no. 1 (March 3, 2021): 301–12. http://dx.doi.org/10.17645/mac.v9i1.3433.
Повний текст джерелаAdams, Caitlin. "“It’s So Bad It Has to be Real”: Mimic Vlogs and the Use of User-Generated Formats for Storytelling." Platform: Journal of Media and Communication 9, no. 2 (December 2022): 22–36. http://dx.doi.org/10.46580/p84398.
Повний текст джерелаAn, Byeongseon, Hyeji Lim, and Eui Chul Lee. "Fake Biometric Detection Based on Photoplethysmography Extracted from Short Hand Videos." Electronics 12, no. 17 (August 26, 2023): 3605. http://dx.doi.org/10.3390/electronics12173605.
Повний текст джерелаS., Gayathri, Santhiya S., Nowneesh T., Sanjana Shuruthy K., and Sakthi S. "Deep fake detection using deep learning techniques." Applied and Computational Engineering 2, no. 1 (March 22, 2023): 1010–19. http://dx.doi.org/10.54254/2755-2721/2/20220655.
Повний текст джерелаClaretta, Dyva, and Marta Wijayanengtias. "VIEWER RECEPTION TOWARD YOUTUBER'S GIVEAWAY." JOSAR (Journal of Students Academic Research) 7, no. 1 (May 22, 2021): 45–57. http://dx.doi.org/10.35457/josar.v7i1.1533.
Повний текст джерелаRupapara, Vaibhav, Furqan Rustam, Aashir Amaar, Patrick Bernard Washington, Ernesto Lee, and Imran Ashraf. "Deepfake tweets classification using stacked Bi-LSTM and words embedding." PeerJ Computer Science 7 (October 21, 2021): e745. http://dx.doi.org/10.7717/peerj-cs.745.
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