DeepFakes: Detecting Forged and Synthetic Media Content Using Machine Learning
University of Louisiana（路易斯安那大学）；Southern Utah University（南犹他大学）；Dixie State University（迪克西州立大学）；Charles Darwin University（查尔斯达尔文大学）；Ahsanullah University of Science & Technology（阿赫萨努拉科技大学）
The rapid advancement in deep learning makes the differentiation of authentic and manipulated facial images and video clips unprecedentedly harder. The underlying technology of manipulating facial appearances through deep generative approaches, enunciated as DeepFake that have emerged recently by promoting a vast number of malicious face manipulation applications. Subsequently, the need of other sort of techniques that can assess the integrity of digital visual content is indisputable to reduce the impact of the creations of DeepFake. A large body of research that are performed on DeepFake creation and detection create a scope of pushing each other beyond the current status. This study presents challenges, research trends, and directions related to DeepFake creation and detection techniques by reviewing the notable research in the DeepFake domain to facilitate the development of more robust approaches that could deal with the more advance DeepFake in the future.
Masked Conditional Diffusion Model for Enhancing Deepfake Detection
Chengdu University of Information Technology（成都信息工程大学）；Purdue University in Indianapolis（印第安纳波利斯普渡大学）；Johns Hopkins University（约翰斯·霍普金斯大学）；University at Albany, State University of New York (SUNY)（纽约州立大学奥尔巴尼分校）
Morphology-optimized Multi-Scale Fusion: Combining Local Artifacts and Mesoscopic Semantics for Deepfake Detection and Localization
The State Key Laboratory of Blockchain and Data Security（区块链与数据安全国家重点实验室）；Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security（杭州高新技术区（滨江）区块链与数据安全研究院）
DeepfakeBench-MM: A Comprehensive Benchmark for Multimodal Deepfake Detection
The Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳））；University at Buffalo, State University of New York（纽约州立大学布法罗分校）；Nanjing University of Posts and Telecommunications（南京邮电大学）
TT-DF: A Large-Scale Diffusion-Based Dataset and Benchmark for Human Body Forgery Detection
MAIS \& NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China University of Science
A Review of Deep Learning-based Approaches for Deepfake Content Detection
São Paulo State University（圣保罗州立大学）；TECNALIA（泰克纳利亚科技中心）；University of the Basque Country (UPV/EHU)（巴斯克大学（UPV/EHU））；Universidad Politécnica de Madrid（马德里理工大学）
A Spatial-Frequency Aware Multi-Scale Fusion Network for Real-Time Deepfake Detection
Qilu University of Technology (Shandong Academy of Sciences)（齐鲁工业大学（山东科学院））；Shandong Artificial Intelligence Institute, China（山东省人工智能研究院）；School of Computing, National University of Singapore（新加坡国立大学计算机学院）；Key Laboratory of Computing Power Network（计算能力网络关键实验室）
GazeCLIP: Gaze-Guided CLIP with Adaptive-Enhanced Fine-Grained Language Prompt for Deepfake Attribution and Detection
Qilu University of Technology (Shandong Academy of Sciences)（齐鲁工业大学（山东省科学院））；Shenzhen University（深圳大学）；National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University（深圳大学大数据系统计算技术国家工程实验室）；Shenzhen Institute of Artificial Intelligence and Robotics for Society（深圳市人工智能与机器人研究院）；Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University（深圳大学广东省智能信息处理重点实验室）；Great Bay University（大湾区大学）
Towards Real-World Deepfake Detection: A Diverse In-the-wild Dataset of Forgery Faces
School of Cyber Science and Engineering, Huazhong University of Science and Technology（华中科技大学信息科学与工程学院）；School of Software Engineering, Huazhong University of Science and Technology（华中科技大学软件工程学院）；School of Information and Communication Technology, Griffith University（格里菲斯大学信息与通信技术学院）；School of Computer Science and Technology, Huazhong University of Science and Technology（华中科技大学计算机科学与技术学院）
DDL: A Large-Scale Dataset for Deepfake Detection and Localization in Diversified Real-World Scenarios
AntGroup（蚂蚁集团）；Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所）；Hefei University of Technology（合肥工业大学）；Anhui Province Key Laboratory of Digital Security（安徽省数字安全重点实验室）；A ⋆ STAR Centre for Frontier AI Research（A ⋆ STAR前沿人工智能研究中心）
Locate and Verify: A Two-Stream Network for Improved Deepfake Detection
Zhejiang University（浙江大学）；ZJU-Hangzhou Global Scientific and Technological Innovation Center（浙江大学杭州国际科创中心）；Black Sesame Technologies（黑芝麻智能科技）；University College London（伦敦大学学院）
Deepfake Media Forensics: State of the Art and Challenges Ahead
University of Catania（卡塔尼亚大学）；CNIT（意大利国家电信集团）；Universitas Mercatorum（商业大学）；University of Pisa（比萨大学）；University of Cagliari（卡利亚里大学）；Sapienza University of Rome（罗马第一大学）；Politecnico di Milano（米兰理工大学）；University of Messina（墨西拿大学）；Università di Siena（锡耶纳大学）；University of Trento（特伦托大学）；Scuola IMT Alti Studi Lucca（卢卡高等研究学院）
Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlook
Department of Computer Science, University of Bucharest（布加勒斯特大学计算机科学系）；Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)（穆罕默德·本·扎耶德人工智能大学）；Department of Computer Science, University of Central Florida（中佛罗里达大学计算机科学系）
MesoNet: a Compact Facial Video Forgery Detection Network
École des Ponts Paristech（巴黎高科桥梁学院）；JFLI, CNRS, UMI 3527（法国国家科学研究中心JFLI联合实验室）；LIGM, UMR 8049（计算机科学、建模与应用实验室）；UPEM（巴黎东马恩-拉瓦雷大学）；National Institute of Informatics（国立情报学研究所）
FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection
Shenzhen University（深圳大学）；Shandong Artificial Intelligence Institute（山东省人工智能研究院）；Qilu University of Technology (Shandong Academy of Sciences)（齐鲁工业大学（山东省科学院））；Tianjin University of Technology（天津理工大学）
Unveiling Deepfakes: A Frequency-Aware Triple Branch Network for Deepfake Detection
State Key Laboratory of Blockchain and Data Security, Zhejiang University（区块链与数据安全国家重点实验室，浙江大学）；College of Computer Science and Technology, Jilin University（吉林大学计算机科学与技术学院）；State Grid Blockchain Technology (Beijing) Co., Ltd.（国家电网区块链技术（北京）有限公司）；Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security（杭州高新技术区（滨江）区块链与数据安全研究院）；Hangzhou City University（杭州城市学院）；College of Computer Science and Technology, Zhejiang University of Technology（浙江工业大学计算机科学与技术学院）
Omni-Fake: Benchmarking Unified Multimodal Social Media Deepfake Detection
University of Liverpool（利物浦大学）；University of Exeter（埃克塞特大学）；The Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳））；Nanyang Technological University（南洋理工大学）
