SAVe: Self-Supervised Audio-visual Deepfake Detection Exploiting Visual Artifacts and Audio-visual Misalignment
Fuente:
arXiv
Saved in:
| Main Authors: | Shahzad, Sahibzada Adil, Hashmi, Ammarah, Yamagishi, Junichi, Yasuda, Yusuke, Tsao, Yu, Lin, Chia-Wen, Peng, Yan-Tsung, Wang, Hsin-Min |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AVTENet: A Human-Cognition-Inspired Audio-Visual Transformer-Based Ensemble Network for Video Deepfake Detection
by: Hashmi, Ammarah, et al.
Published: (2023)
by: Hashmi, Ammarah, et al.
Published: (2023)
AV-Lip-Sync+: Leveraging AV-HuBERT to Exploit Multimodal Inconsistency for Deepfake Detection of Frontal Face Videos
by: Shahzad, Sahibzada Adil, et al.
Published: (2023)
by: Shahzad, Sahibzada Adil, et al.
Published: (2023)
Understanding Audiovisual Deepfake Detection: Techniques, Challenges, Human Factors and Perceptual Insights
by: Hashmi, Ammarah, et al.
Published: (2024)
by: Hashmi, Ammarah, et al.
Published: (2024)
Unmasking Illusions: Understanding Human Perception of Audiovisual Deepfakes
by: Hashmi, Ammarah, et al.
Published: (2024)
by: Hashmi, Ammarah, et al.
Published: (2024)
How Good is ChatGPT at Audiovisual Deepfake Detection: A Comparative Study of ChatGPT, AI Models and Human Perception
by: Shahzad, Sahibzada Adil, et al.
Published: (2024)
by: Shahzad, Sahibzada Adil, et al.
Published: (2024)
Statistics-aware Audio-visual Deepfake Detector
by: Astrid, Marcella, et al.
Published: (2024)
by: Astrid, Marcella, et al.
Published: (2024)
MeMo: Attentional Momentum for Real-time Audio-visual Speaker Extraction under Impaired Visual Conditions
by: Li, Junjie, et al.
Published: (2025)
by: Li, Junjie, et al.
Published: (2025)
MixFake: Benchmarking and Enhancing Audio Deepfake Detection in Diverse Real-world Mixed Audio
by: Li, Qingcao, et al.
Published: (2026)
by: Li, Qingcao, et al.
Published: (2026)
MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection
by: Pan, Zihan, et al.
Published: (2025)
by: Pan, Zihan, et al.
Published: (2025)
Manipulated Regions Localization For Partially Deepfake Audio: A Survey
by: He, Jiayi, et al.
Published: (2025)
by: He, Jiayi, et al.
Published: (2025)
AV-EMO-Reasoning: Benchmarking Emotional Reasoning Capabilities in Omni-modal LLMS with Audio-visual Cues
by: Zhou, Dingkun, et al.
Published: (2025)
by: Zhou, Dingkun, et al.
Published: (2025)
From Talking to Singing: A New Challenge for Audio-Visual Deepfake Detection
by: Liu, Ke, et al.
Published: (2026)
by: Liu, Ke, et al.
Published: (2026)
Enkidu: Universal Frequential Perturbation for Real-Time Audio Privacy Protection against Voice Deepfakes
by: Feng, Zhou, et al.
Published: (2025)
by: Feng, Zhou, et al.
Published: (2025)
Audio-Visual Separation with Hierarchical Fusion and Representation Alignment
by: Hu, Han, et al.
Published: (2025)
by: Hu, Han, et al.
Published: (2025)
XGC-AVis: Towards Audio-Visual Content Understanding with a Multi-Agent Collaborative System
by: Cao, Yuqin, et al.
Published: (2025)
by: Cao, Yuqin, et al.
Published: (2025)
Bridging The Multi-Modality Gaps of Audio, Visual and Linguistic for Speech Enhancement
by: Lin, Meng-Ping, et al.
Published: (2025)
by: Lin, Meng-Ping, et al.
Published: (2025)
Delayed Commitment for Representation Readiness in Stage-wise Audio-Visual Learning
by: Xu, Xinmeng, et al.
Published: (2026)
by: Xu, Xinmeng, et al.
Published: (2026)
MMED: A Multimodal Micro-Expression Dataset based on Audio-Visual Fusion
by: Wang, Junbo, et al.
Published: (2025)
by: Wang, Junbo, et al.
Published: (2025)
Coherent Audio-Visual Editing via Conditional Audio Generation Following Video Edits
by: Ishii, Masato, et al.
Published: (2025)
by: Ishii, Masato, et al.
Published: (2025)
Generative Audio Extension and Morphing
by: Seetharaman, Prem, et al.
Published: (2026)
by: Seetharaman, Prem, et al.
Published: (2026)
Detecting Audio-Visual Deepfakes with Fine-Grained Inconsistencies
by: Astrid, Marcella, et al.
Published: (2024)
by: Astrid, Marcella, et al.
Published: (2024)
Contrastive Conditional Latent Diffusion for Audio-visual Segmentation
by: Mao, Yuxin, et al.
Published: (2023)
by: Mao, Yuxin, et al.
Published: (2023)
AVFF: Audio-Visual Feature Fusion for Video Deepfake Detection
by: Oorloff, Trevine, et al.
Published: (2024)
by: Oorloff, Trevine, et al.
Published: (2024)
Rhythmic Foley: A Framework For Seamless Audio-Visual Alignment In Video-to-Audio Synthesis
by: Huang, Zhiqi, et al.
Published: (2024)
by: Huang, Zhiqi, et al.
Published: (2024)
MusiCRS: Benchmarking Audio-Centric Conversational Recommendation
by: Surana, Rohan, et al.
Published: (2025)
by: Surana, Rohan, et al.
Published: (2025)
A Multi-Stream Fusion Approach with One-Class Learning for Audio-Visual Deepfake Detection
by: Lee, Kyungbok, et al.
Published: (2024)
by: Lee, Kyungbok, et al.
Published: (2024)
Anchor-aware Deep Metric Learning for Audio-visual Retrieval
by: Zeng, Donghuo, et al.
Published: (2024)
by: Zeng, Donghuo, et al.
Published: (2024)
Collaborative Hybrid Propagator for Temporal Misalignment in Audio-Visual Segmentation
by: Li, Kexin, et al.
Published: (2024)
by: Li, Kexin, et al.
Published: (2024)
Multi-level SSL Feature Gating for Audio Deepfake Detection
by: Tran, Hoan My, et al.
Published: (2025)
by: Tran, Hoan My, et al.
Published: (2025)
Audio-Visual Deepfake Detection With Local Temporal Inconsistencies
by: Astrid, Marcella, et al.
Published: (2025)
by: Astrid, Marcella, et al.
Published: (2025)
Building Audio-Visual Digital Twins with Smartphones
by: Lan, Zitong, et al.
Published: (2025)
by: Lan, Zitong, et al.
Published: (2025)
LSTMSE-Net: Long Short Term Speech Enhancement Network for Audio-visual Speech Enhancement
by: Jain, Arnav, et al.
Published: (2024)
by: Jain, Arnav, et al.
Published: (2024)
Audio-Guided Visual Perception for Audio-Visual Navigation
by: Wang, Yi, et al.
Published: (2025)
by: Wang, Yi, et al.
Published: (2025)
A Comparative Study on Proactive and Passive Detection of Deepfake Speech
by: Wu, Chia-Hua, et al.
Published: (2025)
by: Wu, Chia-Hua, et al.
Published: (2025)
DreamFoley: Scalable VLMs for High-Fidelity Video-to-Audio Generation
by: Li, Fu, et al.
Published: (2025)
by: Li, Fu, et al.
Published: (2025)
HDA-SELD: Hierarchical Cross-Modal Distillation with Multi-Level Data Augmentation for Low-Resource Audio-Visual Sound Event Localization and Detection
by: Wang, Qing, et al.
Published: (2025)
by: Wang, Qing, et al.
Published: (2025)
Efficient Video to Audio Mapper with Visual Scene Detection
by: Yi, Mingjing, et al.
Published: (2024)
by: Yi, Mingjing, et al.
Published: (2024)
Cinematic Audio Source Separation Using Visual Cues
by: Zhang, Kang, et al.
Published: (2026)
by: Zhang, Kang, et al.
Published: (2026)
Listen, Pause, and Reason: Toward Perception-Grounded Hybrid Reasoning for Audio Understanding
by: Wang, Jieyi, et al.
Published: (2026)
by: Wang, Jieyi, et al.
Published: (2026)
Multimodal Self-Attention Network with Temporal Alignment for Audio-Visual Emotion Recognition
by: Koo, Inyong, et al.
Published: (2026)
by: Koo, Inyong, et al.
Published: (2026)
Similar Items
-
AVTENet: A Human-Cognition-Inspired Audio-Visual Transformer-Based Ensemble Network for Video Deepfake Detection
by: Hashmi, Ammarah, et al.
Published: (2023) -
AV-Lip-Sync+: Leveraging AV-HuBERT to Exploit Multimodal Inconsistency for Deepfake Detection of Frontal Face Videos
by: Shahzad, Sahibzada Adil, et al.
Published: (2023) -
Understanding Audiovisual Deepfake Detection: Techniques, Challenges, Human Factors and Perceptual Insights
by: Hashmi, Ammarah, et al.
Published: (2024) -
Unmasking Illusions: Understanding Human Perception of Audiovisual Deepfakes
by: Hashmi, Ammarah, et al.
Published: (2024) -
How Good is ChatGPT at Audiovisual Deepfake Detection: A Comparative Study of ChatGPT, AI Models and Human Perception
by: Shahzad, Sahibzada Adil, et al.
Published: (2024)