{"total":70,"rows":[{"id":"2110.01200","title":"AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks","created":"2021-10-04","cited_by_count":180,"area":null},{"id":"2203.16263","title":"Does Audio Deepfake Detection Generalize?","created":"2022-03-30","cited_by_count":135,"area":null},{"id":"2204.07321","title":"Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities","created":"2022-04-15","cited_by_count":52,"area":null},{"id":"2509.02859","title":"Speech DF Arena: A Leaderboard for Speech DeepFake Detection Models","created":"2025-09-02","cited_by_count":21,"area":null},{"id":"2505.11079","title":"ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection","created":"2025-05-16","cited_by_count":17,"area":null},{"id":"2303.01211","title":"Learning From Yourself: A Self-Distillation Method for Fake Speech Detection","created":"2023-03-02","cited_by_count":13,"area":"distill"},{"id":"2209.14098","title":"Deepfake audio detection by speaker verification","created":"2022-09-28","cited_by_count":11,"area":null},{"id":"2410.04324","title":"Where are we in audio deepfake detection? A systematic analysis over generative and detection models","created":"2024-10-06","cited_by_count":11,"area":null},{"id":"2505.19203","title":"EnvSDD: Benchmarking Environmental Sound Deepfake Detection","created":"2025-05-25","cited_by_count":11,"area":null},{"id":"2306.07655","title":"Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systems","created":"2023-06-13","cited_by_count":10,"area":null},{"id":"2411.19537","title":"Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlook","created":"2024-11-29","cited_by_count":10,"area":null},{"id":"2505.13930","title":"BiCrossMamba-ST: Speech Deepfake Detection with Bidirectional Mamba Spectro-Temporal Cross-Attention","created":"2025-05-20","cited_by_count":10,"area":"ssm"},{"id":"2206.13979","title":"Attack Agnostic Dataset: Towards Generalization and Stabilization of Audio DeepFake Detection","created":"2022-06-27","cited_by_count":9,"area":null},{"id":"2210.06105","title":"SpecRNet: Towards Faster and More Accessible Audio DeepFake Detection","created":"2022-10-12","cited_by_count":9,"area":null},{"id":"2305.19953","title":"Multi-Dataset Co-Training with Sharpness-Aware Optimization for Audio Anti-spoofing","created":"2023-05-31","cited_by_count":9,"area":null},{"id":"2406.03512","title":"Harder or Different? Understanding Generalization of Audio Deepfake Detection","created":"2024-06-05","cited_by_count":9,"area":null},{"id":"2408.17352","title":"AASIST3: KAN-Enhanced AASIST Speech Deepfake Detection using SSL Features and Additional Regularization for the ASVspoof 2024 Challenge","created":"2024-08-30","cited_by_count":9,"area":null},{"id":"2204.01387","title":"Anti-Spoofing Using Transfer Learning with Variational Information Bottleneck","created":"2022-04-04","cited_by_count":8,"area":null},{"id":"2405.02179","title":"Training-Free Deepfake Voice Recognition by Leveraging Large-Scale Pre-Trained Models","created":"2024-05-03","cited_by_count":8,"area":null},{"id":"2407.18517","title":"SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection","created":"2024-07-26","cited_by_count":8,"area":null},{"id":"2110.03361","title":"Multi-scale speaker embedding-based graph attention networks for speaker diarisation","created":"2021-10-07","cited_by_count":7,"area":null},{"id":"2301.03064","title":"Deepfake CAPTCHA: A Method for Preventing Fake Calls","created":"2023-01-08","cited_by_count":7,"area":null},{"id":"2308.11800","title":"Complex-valued neural networks for voice anti-spoofing","created":"2023-08-22","cited_by_count":7,"area":null},{"id":"2408.05366","title":"The DeepSpeak Dataset","created":"2024-08-09","cited_by_count":6,"area":null},{"id":"2505.14862","title":"Replay Attacks Against Audio Deepfake Detection","created":"2025-05-20","cited_by_count":6,"area":null},{"id":"2601.02983","title":"Interpretable All-Type Audio Deepfake Detection with Audio LLMs via Frequency-Time Reinforcement Learning","created":"2026-01-06","cited_by_count":6,"area":"lr"},{"id":"2310.08869","title":"Dual-Branch Knowledge Distillation for Noise-Robust Synthetic Speech Detection","created":"2023-10-13","cited_by_count":5,"area":"distill"},{"id":"2409.06348","title":"VoiceWukong: Benchmarking Deepfake Voice Detection","created":"2024-09-10","cited_by_count":5,"area":null},{"id":"2601.23066","title":"Towards Explicit Acoustic Evidence Perception in Audio LLMs for Speech Deepfake Detection","created":"2026-01-30","cited_by_count":5,"area":null},{"id":"2302.12434","title":"Catch You and I Can: Revealing Source Voiceprint Against Voice Conversion","created":"2023-02-24","cited_by_count":4,"area":null},{"id":"2308.09302","title":"Robust Audio Anti-Spoofing with Fusion-Reconstruction Learning on Multi-Order Spectrograms","created":"2023-08-18","cited_by_count":4,"area":null},{"id":"2408.14712","title":"Is Audio Spoof Detection Robust to Laundering Attacks?","created":"2024-08-27","cited_by_count":4,"area":null},{"id":"2203.10793","title":"Phase-Aware Spoof Speech Detection Based on Res2Net with Phase Network","created":"2022-03-21","cited_by_count":3,"area":null},{"id":"2211.09898","title":"Audio Anti-spoofing Using a Simple Attention Module and Joint Optimization Based on Additive Angular Margin Loss and Meta-learning","created":"2022-11-17","cited_by_count":3,"area":null},{"id":"2203.15377","title":"Spoofing-Aware Speaker Verification by Multi-Level Fusion","created":"2022-03-29","cited_by_count":2,"area":null},{"id":"2407.07598","title":"Targeted Augmented Data for Audio Deepfake Detection","created":"2024-07-10","cited_by_count":2,"area":null},{"id":"2503.17577","title":"Measuring the Robustness of Audio Deepfake Detection under Real-World Corruption","created":"2025-03-21","cited_by_count":2,"area":null},{"id":"2509.21597","title":"AUDDT: A Unified Benchmark Toolkit for Audio and Speech Deepfake Detectors","created":"2025-09-25","cited_by_count":2,"area":null},{"id":"2206.09131","title":"Tackling Spoofing-Aware Speaker Verification with Multi-Model Fusion","created":"2022-06-18","cited_by_count":1,"area":null},{"id":"2208.10489","title":"Audio Deepfake Attribution: An Initial Dataset and Investigation","created":"2022-08-21","cited_by_count":1,"area":null},{"id":"2209.06434","title":"ConvNeXt Based Neural Network for Audio Anti-Spoofing","created":"2022-09-14","cited_by_count":1,"area":null},{"id":"2305.16353","title":"Betray Oneself: A Novel Audio DeepFake Detection Model via Mono-to-Stereo Conversion","created":"2023-05-25","cited_by_count":1,"area":null},{"id":"2403.14290","title":"Exploring Green AI for Audio Deepfake Detection","created":"2024-03-21","cited_by_count":1,"area":null},{"id":"2408.13341","title":"Toward Improving Synthetic Audio Spoofing Detection Robustness via Meta-Learning and Disentangled Training With Adversarial Examples","created":"2024-08-23","cited_by_count":1,"area":null},{"id":"2410.06572","title":"Can DeepFake Speech be Reliably Detected?","created":"2024-10-09","cited_by_count":1,"area":null},{"id":"2502.20427","title":"DeePen: Penetration Testing for Audio Deepfake Detection","created":"2025-02-27","cited_by_count":1,"area":null},{"id":"2504.15663","title":"FADEL: Uncertainty-aware Fake Audio Detection with Evidential Deep Learning","created":"2025-04-22","cited_by_count":1,"area":null},{"id":"2505.08294","title":"FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units","created":"2025-05-13","cited_by_count":1,"area":null},{"id":"2505.23619","title":"Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes","created":"2025-05-29","cited_by_count":1,"area":null},{"id":"2508.00784","title":"Unraveling Hidden Representations: A Multi-Modal Layer Analysis for Better Synthetic Content Forensics","created":"2025-08-01","cited_by_count":1,"area":null},{"id":"2509.07677","title":"Spectral Masking and Interpolation Attack (SMIA): A Black-box Adversarial Attack against Voice Authentication and Anti-Spoofing Systems","created":"2025-09-09","cited_by_count":1,"area":null},{"id":"2601.00777","title":"Investigating the Viability of Employing Multi-modal Large Language Models in the Context of Audio Deepfake Detection","created":"2026-01-02","cited_by_count":1,"area":"mllm"},{"id":"2606.04205","title":"DetectZoo: A Unified Toolkit for AI-Generated Content Detection Across Text, Audio, and Image Modalities","created":"2026-06-02","cited_by_count":1,"area":null},{"id":"2607.03150","title":"An Intervention-Based Framework for Shortcut Diagnosis in Spoofing Countermeasures","created":"2026-07-03","cited_by_count":1,"area":null},{"id":"2607.28351","title":"Teffic-Audio: Tell Fact from Fiction","created":"2026-07-30","cited_by_count":1,"area":null},{"id":"2201.11400","title":"The MSXF TTS System for ICASSP 2022 ADD Challenge","created":"2022-01-27","cited_by_count":0,"area":null},{"id":"2409.00099","title":"Query-by-Example Keyword Spotting Using Spectral-Temporal Graph Attentive Pooling and Multi-Task Learning","created":"2024-08-27","cited_by_count":0,"area":null},{"id":"2410.01108","title":"Augmentation through Laundering Attacks for Audio Spoof Detection","created":"2024-10-01","cited_by_count":0,"area":null},{"id":"2509.00186","title":"Generalizable Audio Spoofing Detection using Non-Semantic Representations","created":"2025-08-29","cited_by_count":0,"area":null},{"id":"2509.04345","title":"AUDETER: A Large-scale Dataset for Deepfake Audio Detection in Open Worlds","created":"2025-09-04","cited_by_count":0,"area":null},{"id":"2602.05670","title":"HyperPotter: Spell the Charm of High-Order Interactions in Audio Deepfake Detection","created":"2026-02-05","cited_by_count":0,"area":null},{"id":"2606.14639","title":"From Self-Supervised Speech Models to Mixture-of-Experts for Robust Anti-Spoofing","created":"2026-06-12","cited_by_count":0,"area":"moe"},{"id":"2606.19579","title":"FlowFake: Liquid Networks for Audio Deepfake Detection","created":"2026-06-17","cited_by_count":0,"area":null},{"id":"2606.30780","title":"Detecting Audio Deepfakes on the Edge:Lightweight SSL-Based Detection in a Browser Plugin","created":"2026-06-29","cited_by_count":0,"area":null},{"id":"2607.06872","title":"Ensemble Deep Learning Approaches for AI-Altered Video Detection","created":"2026-07-08","cited_by_count":0,"area":null},{"id":"2607.11706","title":"VoxENES 2026: Benchmarking Generalization of Speech Spoofing Detectors Against LLM-Era TTS and Voice Conversion","created":"2026-07-13","cited_by_count":0,"area":null},{"id":"2607.21820","title":"Probing Speaker Identity Sensitivity in Audio Deepfake Detectors","created":"2026-07-23","cited_by_count":0,"area":null},{"id":"2608.15411","title":"A survey of AI-generated voices and their detection","created":"2026-08-15","cited_by_count":0,"area":null},{"id":"2609.32050","title":"Tracing Decoder Artifacts for Compact Synthetic Speech Screening","created":"2026-09-25","cited_by_count":0,"area":null},{"id":"2610.16049","title":"Adaptive Compression and Targeted Perturbation: A Unified Framework for Generalized Audio Deepfake Detection","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}