SS-L15.2
A GREEN LEARNING APPROACH TO SPOOFED SPEECH DETECTION
Chengwei Wei, Runqi Pang, C.-C. Jay Kuo, University of Southern California, United States of America
Session:
SS-L15: Deepfakes and AI-Generated Content (AIGC) Detection and Forensics: Recent Advances Lecture
Track:
Special Sessions
Location:
Room 103
Presentation Time:
Fri, 19 Apr, 08:40 - 09:00 (UTC +9)
Session Chair:
Ngai-Man (Man) Cheung, Singapore University of Technology and Design (SUTD)
Session SS-L15
SS-L15.1: A KEYLESS EXTRACTION FRAMEWORK TARGETING AT DEEP LEARNING BASED IMAGE-WITHIN-IMAGE MODELS
Rongxuan Peng, Xianbo Mo, Shunquan Tan, Bin Li, Jiwu Huang, Shenzhen University, China
SS-L15.2: A GREEN LEARNING APPROACH TO SPOOFED SPEECH DETECTION
Chengwei Wei, Runqi Pang, C.-C. Jay Kuo, University of Southern California, United States of America
SS-L15.3: Open-set DeepFake Detection to fight the Unknown
Michael Diniz, Federal Institute of São Paulo (IFSP-SP), Brazil; Anderson Rocha, University of Campinas (UNICAMP), Brazil
SS-L15.4: A ROBUST AUDIO DEEPFAKE DETECTION SYSTEM VIA MULTI-VIEW FEATURE
Yujie Yang, Haochen Qin, Hang Zhou, Chengcheng Wang, Tianyu Guo, Kai Han, Yunhe Wang, Huawei, China
SS-L15.5: M3DSYNTH: A DATASET OF MEDICAL 3D IMAGES WITH AI-GENERATED LOCAL MANIPULATIONS
Giada Zingarini, Davide Cozzolino, Riccardo Corvi, Giovanni Poggi, Luisa Verdoliva, University Federico II of Naples, Italy
SS-L15.6: FREQUENCY MASKING FOR UNIVERSAL DEEPFAKE DETECTION
Chandler Timm Doloriel, Ngai-Man Cheung, Singapore University of Technology and Design, Singapore
Contacts