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ORCIDDADA@IJCAI 2023: Macao, SAR, China
- Jianhua Tao, Haizhou Li, Jiangyan Yi, Cunhang Fan:
Proceedings of the Workshop on Deepfake Audio Detection and Analysis co-located with 32th International Joint Conference on Artificial Intelligence (IJCAI 2023), Macao, China, August 19, 2023. CEUR Workshop Proceedings 3597, CEUR-WS.org 2023 - Haoyue Zhan, Yang Zhang, Xinyuan Yu:
The NeteaseGames System for Fake Audio Generation Task of 2023 Audio Deepfake Detection Challenge. 1-5 - Haibin Wu, Jiawen Kang, Lingwei Meng, Helen Meng, Hung-yi Lee:
The Defender's Perspective on Automatic Speaker Verification: An Overview. 6-11 - Junjian Zhang, Binyue Deng, Hao Tan, Le Wang, Zhaoquan Gu:
DAoB: A Transferable Adversarial Attack via Boundary Information for Speaker Recognition Systems. 12-17 - Kang Li, Xiao-Min Zeng, Jian-Tao Zhang, Yan Song:
Convolutional Recurrent Neural Network and Multitask Learning for Manipulation Region Location. 18-22 - Soyul Han, Taein Kang, Sunmook Choi, Jaejin Seo, Sanghyeok Chung, Sumi Lee, Seungsang Oh, Il-Youp Kwak:
CAU KU Deepfake Detection System for ADD 2023 Challenge. 23-30 - Xiao-Min Zeng, Jian-Tao Zhang, Kang Li, Zhuo-Li Liu, Wei-Lin Xie, Yan Song:
Deepfake Algorithm Recognition System with Augmented Data for ADD 2023 Challenge. 31-36 - Juan Manuel Martín-Doñas, Aitor Álvarez:
The Vicomtech Partial Deepfake Detection and Location System for the 2023 ADD Challenge. 37-42 - Jun Li, Lin Li, Mengjie Luo, Xiaoqin Wang, Shushan Qiao, Yumei Zhou:
Multi-grained Backend Fusion for Manipulation Region Location of Partially Fake Audio. 43-48 - Hua Hua, Jingze Lu, Peiyang Shi, Zengqiang Shang, Yuxiang Zhang, Xuyuan Li, Pengyuan Zhang:
Description of a Multi-Stage Audio Spoofing System in ADD Challenge 2023. 49-57 - Yuankun Xie, Haonan Cheng, Yutian Wang, Long Ye:
Single Domain Generalization for Audio Deepfake Detection. 58-63 - Ziqian Wang, Qing Wang, Jixun Yao, Lei Xie:
The NPU-ASLP System for Deepfake Algorithm Recognition in ADD 2023 Challenge. 64-69 - Yuxiang Zhang, Jingze Lu, Zhuo Li, Zengqiang Shang, Wenchao Wang, Pengyuan Zhang:
Improving the Robustness of Deepfake Audio Detection through Confidence Calibration. 70-75 - Ye Tian, Yunkun Chen, Yuezhong Tang, Boyang Fu:
Deepfake Algorithm Recognition through Multi-model Fusion Based On Manifold Measure. 76-81 - Shunbo Dong, Jun Xue, Cunhang Fan, Kang Zhu, Yujie Chen, Zhao Lv:
Multi-perspective Information Fusion Res2Net with Random Specmix for Fake Speech Detection. 82-88 - Jingze Lu, Yuxiang Zhang, Zhuo Li, Zengqiang Shang, Wenchao Wang, Pengyuan Zhang:
Detecting Unknown Speech Spoofing Algorithms with Nearest Neighbors. 89-94 - Xiaohui Zhang, Jiangyan Yi, Jianhua Tao, Chenglong Wang, Le Xu, Ruibo Fu:
Adaptive Fake Audio Detection with Low-Rank Model Squeezing. 95-100 - Chenglong Wang, Jiangyan Yi, Xiaohui Zhang, Jianhua Tao, Xinrui Yan, Le Xu, Ruibo Fu:
Low-rank Adaptation Method for Wav2vec2-based Fake Audio Detection. 101-106 - Xiaoyi Qin, Xingming Wang, Yanli Chen, Qinglin Meng, Ming Li:
From Speaker Verification to Deepfake Algorithm Recognition: Our Learned Lessons from ADD2023 Track 3. 107-112 - Jie Liu, Zhiba Su, Hui Huang, Caiyan Wan, Quanxiu Wang, Jiangli Hong, Benlai Tang, Fengjie Zhu:
TranssionADD: A Multi-frame Reinforcement Based Sequence Tagging Model for Audio Deepfake Detection. 113-118 - Haochen Wu, Zhuhai Li, Luzhen Xu, Zhentao Zhang, Wenting Zhao, Bin Gu, Yang Ai, Yexin Lu, Jie Zhang, Zhenhua Ling, Wu Guo:
The USTC-NERCSLIP System for the Track 1.2 of Audio Deepfake Detection (ADD 2023) Challenge. 119-124 - 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:
ADD 2023: the Second Audio Deepfake Detection Challenge. 125-130
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