DADA 2023
IJCAI 2023 Workshop on Deepfake Audio Detection and Analysis

Table of Contents

• Preface
  Summary: There were 41 papers submitted for peer review to this workshop. Out of this, 21 papers were accepted for this volume as short papers.

Papers

• The NeteaseGames System for Fake Audio Generation Task of 2023 Audio Deepfake Detection Challenge 1-5
  Haoyue Zhan, Yang Zhang, Xinyuan Yu
• The Defender's Perspective on Automatic Speaker Verification: An Overview 6-11
  Haibin Wu, Jiawen Kang, Lingwei Meng, Helen Meng, Hung-yi Lee
• DAoB: A Transferable Adversarial Attack via Boundary Information for Speaker Recognition Systems 12-17
  Junjian Zhang, Binyue Deng, Hao Tan, Le Wang, Zhaoquan Gu
• Convolutional Recurrent Neural Network and Multitask Learning for Manipulation Region Location 18-22
  Kang Li, Xiao-Min Zeng, Jian-Tao Zhang, Yan Song
• CAU KU Deepfake Detection System for ADD 2023 Challenge 23-30
  Soyul Han, Taein Kang, Sunmook Choi, Jaejin Seo, Sanghyeok Chung, Sumi Lee, Seungsang Oh, Il-Youp Kwak
• Deepfake Algorithm Recognition System with Augmented Data for ADD 2023 Challenge 31-36
  Xiao-Min Zeng, Jian-Tao Zhang, Kang Li, Zhuo-Li Liu, Wei-Lin Xie, Yan Song
• The Vicomtech Partial Deepfake Detection and Location System for the 2023 ADD Challenge 37-42
  Juan Manuel Martín-Doñas, Aitor Álvarez,
• Multi-grained Backend Fusion for Manipulation Region Location of Partially Fake Audio 43-48
  Jun Li, Lin Li, Mengjie Luo, Xiaoqin Wang, Shushan Qiao, Yumei Zhou
• Description of a Multi-Stage Audio Spoofing System in ADD Challenge 2023 49-57
  Hua Hua, Jingze Lu, Peiyang Shi, Zengqiang Shang, Yuxiang Zhang, Xuyuan Li, Pengyuan Zhang
• Single Domain Generalization for Audio Deepfake Detection 58-63
  Yuankun Xie, Haonan Cheng, Yutian Wang, Long Ye
• The NPU-ASLP System for Deepfake Algorithm Recognition in ADD 2023 Challenge 64-69
  Ziqian Wang, Qing Wang, Jixun Yao, Lei Xie
• Improving the Robustness of Deepfake Audio Detection through Confidence Calibration 70-75
  Yuxiang Zhang, Jingze Lu, Zhuo Li, Zengqiang Shang, Wenchao Wang, Pengyuan Zhang
• Deepfake Algorithm Recognition through Multi-model Fusion Based On Manifold Measure 76-81
  Ye Tian, Yunkun Chen, Yuezhong Tang, Boyang Fu
• Multi-perspective Information Fusion Res2Net with Random Specmix for Fake Speech Detection 82-88
  Shunbo Dong, Jun Xue, Cunhang Fan, Kang Zhu, Yujie Chen, Zhao lv
• Detecting Unknown Speech Spoofing Algorithms with Nearest Neighbors 89-94
  Jingze Lu, Yuxiang Zhang, Zhuo Li, Zengqiang Shang, Wenchao Wang, Pengyuan Zhang
• Adaptive Fake Audio Detection with Low-Rank Model Squeezing 95-100
  Xiaohui Zhang, Jiangyan Yi, Jianhua Tao, Chenglong Wang, Le Xu, Ruibo Fu
• Low-rank Adaptation Method for Wav2vec2-based Fake Audio Detection 101-106
  Chenglong Wang, Jiangyan Yi, Xiaohui Zhang, Jianhua Tao, Xinrui Yan, Le Xu, Ruibo Fu
• From Speaker Verification to Deepfake Algorithm Recognition: Our Learned Lessons from ADD2023 Track 3 107-112
  Xiaoyi Qin, Xingming Wang, Yanli Chen, Qinglin Meng, Ming Li
• TranssionADD: A Multi-frame Reinforcement Based Sequence Tagging Model for Audio Deepfake Detection 113-118
  Jie Liu, Zhiba Su, Hui Huang, Caiyan Wan, Quanxiu Wang, Jiangli Hong, Benlai Tang, Fengjie Zhu
• The USTC-NERCSLIP System for the Track 1.2 of Audio Deepfake Detection (ADD 2023) Challenge 119-124
  Haochen Wu, Zhuhai Li, Luzhen Xu, Zhentao Zhang, Wenting Zhao, Bin Gu, Yang Ai, Yexin Lu, Jie Zhang, Zhenhua Ling, Wu Guo
• ADD 2023: the Second Audio Deepfake Detection Challenge 125-130
  Jiangyan Yi, Jianhua Tao, Ruibo Fu, Xinrui Yan, Chenglong Wang, Tao Wang, Chu Yuan Zhang, Xiaohui Zhang, Yan Zhao, Yong Ren, Le Xu, Junzuo Zhou, Hao Gu, Zhengqi Wen, Shan Liang, Zheng Lian, Shuai Nie, Haizhou Li