Audio Deepfake Detection

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29 papers in the last four weeks, up 71% on the four weeks before. 0.2% of all new papers.

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Open-Set Source Tracing as Compositional Factors via Structured Prototypes
Jul 3, 2026Santiago Rubio, Antonio Almudévar, Antonio Miguel +2Audio Deepfake Detection Prototype Learning
ViVoLab, I3A University of Zaragoza Zaragoza, Spain
Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck
Jun 30, 2026Anh-Tuan Dao, Driss Matrouf, Mickael Rouvier +1Audio Deepfake Detection Domain Generalization
Laboratoire Informatique d’Avignon, Avignon Universite, France · EURECOM, Sophia Antipolis, France
Probing-Guided Layer Selection from Self-Supervised Speech Models for Generalizable Audio Deepfake Detection
Jun 29, 2026Marjan Beheshti, Majid Rostami, Bo ChenAudio Deepfake Detection Domain Generalization
Department of Computer Science, Michigan Technological University, Houghton, MI, USA
Detecting Audio Deepfakes on the Edge:Lightweight SSL-Based Detection in a Browser Plugin
Jun 29, 2026Octavian Pascu, Dan Oneata, Horia Cucu +1Audio Deepfake Detection On-Device Inference
National University of Science and Technology POLITEHNICA Bucharest, Romania · Fraunhofer AISEC, Germany
Proteus: Automated Adversarial Robustness Testing for Audio Deepfake Detectors
Jun 28, 2026Nicolas M. Müller, Aditya Tirumala Bukkapatnam, Zohaib AhmedAudio Deepfake Detection Adversarial Attacks
Resemble AI, Mountain View, CA, USA
Supervised Post-training of Speech Foundation Models for Robust Adaptation in Speech Deepfake Detection
Jun 24, 2026Zihan Pan, Sailor Hardik, Jinyang WuSupervised Fine-Tuning Audio Deepfake Detection
Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, 138632, Singapore
The Watermark Shortcut: How Provenance Marking Sabotages Audio Deepfake Detection
Jun 22, 2026Nicolas M. Müller, Pascal DebusAudio Watermarking Audio Deepfake Detection
Fraunhofer AISEC, Germany · Resemble AI
Bridging the Age Gap: Towards Detecting Neural Audio Codec Synthesized Elderly Speech Deepfake
Jun 19, 2026Orchid Chetia Phukan, Girish, Mohd Mujtaba Akhtar +1Audio Deepfake Detection Deepfake Detection
BIIC Lab, NTHU, Taiwan
Towards Detecting Neural Audio Codec Synthesized Heart Sounds
Jun 19, 2026Girish, Orchid Chetia Phukan, Mohd Mujtaba Akhtar +3Neural Audio Codecs Audio Deepfake Detection
UPES, India · NTHU, Taiwan · VBSPU, India +2
When EER Hides Deployment Failure: Auditing Threshold Transfer and Unlabeled Score Calibration for Speech Deepfake Detectors
Jun 19, 2026Jingwen Zhou, Mingzhe WangAudio Deepfake Detection ASVspoof
Xidian University, Xi’an, China
FlowFake: Liquid Networks for Audio Deepfake Detection
Jun 17, 2026Shivaay Dhondiyal, Divyansh Sharma, Dinesh Kumar VishwakarmaAudio Deepfake Detection Cross-Domain Generalization
Delhi Technological University, New Delhi, India.
GRIDEX: Grid-Grounded Forensic Explanations for Deepfake Spectrogram Analysis
Jun 17, 2026Thi Ngan Ha Do, Tingmin Wu, Alsharif Abuadbba +1Audio Deepfake Detection Explainable Deepfake Detection
CSIRO, Australia
Robust Spoofed Speech Detection via Temporal Pyramid Modeling
Jun 15, 2026Mahtab Masoudi Nezhad, Nima KarimianAudio Deepfake Detection ASVspoof
Lane Department of Computer Science and Electrical Engineering West Virginia University Morgantown, WV · Bellini College of Artificial Intelligence, Cybersecurity and Computing University of South Florida Tampa, FL
Beyond Artifacts: Towards Generalizable Synthetic Song Detection via Music-Intrinsic Features
Jun 15, 2026Yan Han, Zhibin Wen, Yuan Wang +4Audio Deepfake Detection AI-Generated Music Detection
Central Conservatory of Music · Southern University of Science and Technology · Fudan University
Dual-Granularity Orthogonal Disentanglement for Generalizable Audio Deepfake Detection
Jun 15, 2026Zhuodong Liu, Hugen Lv, Xiangyu Li +1Representation Learning Audio Deepfake Detection
Beijing Jiaotong University, China · Shanghai Jiao Tong University, China · ITMO University, Russia
XAI-Grounded Explanation Generation for Speech Deepfake Detection with Training-Free Multimodal Large Language Models
Jun 15, 2026Yupei Li, Qiyang Sun, Xiaoliang Wu +3Audio Deepfake Detection Explainable Artificial Intelligence
Imperial College London, United Kingdom · University of Southampton, United Kingdom · MBZUAI, United Arab Emirates +2
Bridging the SEA Gap: An Initial Benchmark for Neural Audio Codec-Synthesized Speech Deepfakes in South-East Asian Languages
Jun 14, 2026Orchid Chetia Phukan, Girish, Mohd Mujtaba Akhtar +1Neural Audio Codecs Audio Deepfake Detection
IIIT-Delhi, India · UPES, India · VBSPU, India
Phonetically Explainable Speech Deepfake Detection
Jun 13, 2026Manasi Chhibber, Jagabandhu Mishra, Tomi H. KinnunenAudio Deepfake Detection Explainable Deepfake Detection
School of Computing, University of Eastern Finland, Joensuu, FI-80101, Finland
Teacher-Student Structure for Domain Adaptation in Ensemble Audio-Visual Video Deepfake Detection
Jun 13, 2026Elham Abolhasani, Maryam Ramezani, Hamid R. RabieeAudio Deepfake Detection Domain Adaptation
Department of Computer Engineering, Sharif University of Technology.
From Self-Supervised Speech Models to Mixture-of-Experts for Robust Anti-Spoofing
Jun 12, 2026Hugo Daumain, Driss Matrouf, Khaled Khelif +1Audio Deepfake Detection Domain Generalization
LIA, Université d’Avignon, France · Airbus Defence & Space, France
The Perceived Fragility of Explanations in Audio Models: Manipulation of Attribution with Unchanged Predictions
Jun 12, 2026Piotr Kitłowski, Dominik Wiącek, Mateusz ModrzejewskiAudio Deepfake Detection Adversarial Attacks
Faculty of Electronics and Information Technology, Warsaw University of Technology, Warsaw, Poland.
SpAArSIST: Sparsified AASIST for Efficient and Reliable Anti-Spoofing
Jun 10, 2026Anton Firc, Vojtěch Staněk, Zbyněk Lička +2Efficient Neural Network Inference Graph Neural Networks
What Do Deepfake Speech Detectors Actually Hear?
Jun 9, 2026Vojtěch Staněk, Veronika Jirmusová, Anton Firc +3Audio Deepfake Detection Explainable Deepfake Detection
Ethical and Technical Limits of Deepfake Speech Datasets
Jun 9, 2026Vojtěch Staněk, Eva Trnovská, Kamil Malinka +1Data Leakage Audio Deepfake Detection
RAT: Reference-Augmented Training for ASV Anti-Spoofing
Jun 9, 2026Vojtěch Staněk, Anton Firc, Jakub Reš +1Audio Deepfake Detection Speaker Verification
Overview of ESDD2: Environment-Aware Speech and Sound Deepfake Detection Challenge
Jun 9, 2026Xueping Zhang, Han Yin, Yang Xiao +4Audio Deepfake Detection
Duke Kunshan University · Korea Advanced Institute of Science and Technology · The University of Melbourne +3
Linguistically Augmented Audio Speech Data (LinguAS)
Jun 8, 2026Ashley R. Keaton, Zahra Khanjani, Christine Mallinson +1Audio Deepfake Detection
University of Maryland, Baltimore County Baltimore, MD, USA
Dual-Branch Gated Fusion for Open-Set Audio Deepfake Source Tracing
Jun 8, 2026Awais Khan, Kutub Uddin, Khalid MalikAudio Representation Learning Audio Deepfake Detection
College of Innovation and Technology, University of Michigan, Flint, MI, USA · ProbeTruth Inc., MI, USA
Speaker-Invariant Representation Learning for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck
Jun 7, 2026Anh-Tuan Dao, Driss Matrouf, Mickael Rouvier +1Audio Deepfake Detection Invariant Representation Learning
Laboratoire Informatique d’Avignon, Avignon Universite, France · EURECOM, Sophia Antipolis, France
A Comparison of SSL-Based Feature Extractors and Back-End Classifiers for Spoofing Detection: A Multi-Corpus Training and Cross-Linguistic Analysis
Jun 7, 2026Anh-Tuan Dao, Driss Matrouf, Mickael Rouvier +1Audio Deepfake Detection Domain Generalization
Laboratoire Informatique d’Avignon, Avignon Universite, France · EURECOM, Sophia Antipolis, France

Jul 3, 2026J/K move · Enter open · S save

Open-Set Source Tracing as Compositional Factors via Structured Prototypes

Santiago Rubio, Antonio Almudévar, Antonio Miguel, Eduardo Lleida+1

ViVoLab, I3A University of Zaragoza Zaragoza, Spain

Audio Deepfake Detection Prototype Learning Open-Set Recognition Compositional Generalization

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Recent research expands beyond binary anti-spoofing with the emergence of Source Tracing, the task of identifying the specific generative origins of synthetic speech. However, current research often equates a "source" with its generative architecture. We propose redefining a source as a compositional tuple of Architecture, Training Data, and other training factors affecting the generated speech. We propose a framework using Structured Orthonormal Prototypes to minimize class overlap and intra-class variance. Our Subspace Partitioning strategy splits the embedding into architecture and data subspaces, while a residual subspace captures stochastic variability, enabling "compositional generalization" for novel factor combinations. This approach improves performance for partially seen sources and maintains robustness in fully open-set scenarios. MLAAD evaluations for Few-Shot open-set Identification show our approach significantly outperforms angular-margin baselines.