mlsanityData to 14 Oct 2026

The First VoicePrivacy Attacker Challenge

arXiv 2504.14183 ↗First posted 19 Apr 2025eess.AS cs.CL cs.CRcited by 4

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Abstract (arXiv)

The First VoicePrivacy Attacker Challenge is an ICASSP 2025 SP Grand Challenge which focuses on evaluating attacker systems against a set of voice anonymization systems submitted to the VoicePrivacy 2024 Challenge. Training, development, and evaluation datasets were provided along with a baseline attacker. Participants developed their attacker systems in the form of automatic speaker verification systems and submitted their scores on the development and evaluation data. The best attacker systems reduced the equal error rate (EER) by 25-44% relative w.r.t. the baseline.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 42 of its 63 references that are in the map. First posted on arXiv 19 Apr 2025.

Builds on

42 of 63 references.

References · 42

  1. 2017Squeeze-and-Excitation Networkscited by 4,789
  2. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 4,057
  3. 2020wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representationscited by 3,905
  4. 2021HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Unitscited by 2,342
  5. 2021WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processingcited by 1,657
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30 more
  1. 2021SpeechBrain: A General-Purpose Speech Toolkitcited by 406
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  4. 2018Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesiscited by 259
  5. 2018TED-LIUM 3: twice as much data and corpus repartition for experiments on speaker adaptationcited by 226
  6. 2024NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Modelscited by 226
  7. 2019AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Losscited by 192
  8. 2023CAM++: A Fast and Efficient Network for Speaker Verification Using Context-Aware Maskingcited by 102
  9. 2022Wespeaker: A Research and Production oriented Speaker Embedding Learning Toolkitcited by 97
  10. 2021VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-shot Voice Conversioncited by 64
  11. 2021TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global contextcited by 62
  12. 2018The Emotional Voices Database: Towards Controlling the Emotion Dimension in Voice Generation Systemscited by 61
  13. 2020Introducing the VoicePrivacy Initiativecited by 49
  14. 2021The VoicePrivacy 2020 Challenge: Results and findingscited by 46
  15. 2023An Enhanced Res2Net with Local and Global Feature Fusion for Speaker Verificationcited by 42
  16. 2024The VoicePrivacy 2024 Challenge Evaluation Plancited by 41
  17. 2019Evaluating Voice Conversion-based Privacy Protection against Informed Attackerscited by 31
  18. 2024VoxBlink2: A 100K+ Speaker Recognition Corpus and the Open-Set Speaker-Identification Benchmarkcited by 26
  19. 2023Anonymizing Speech: Evaluating and Designing Speaker Anonymization Techniquescited by 22
  20. 2023Speaker anonymization using neural audio codec language modelscited by 22
  21. 2022The VoicePrivacy 2022 Challenge Evaluation Plancited by 18
  22. 2024ERes2NetV2: Boosting Short-Duration Speaker Verification Performance with Computational Efficiencycited by 18
  23. 2024The VoicePrivacy 2022 Challenge: Progress and Perspectives in Voice Anonymisationcited by 17
  24. 2024NPU-NTU System for Voice Privacy 2024 Challengecited by 14
  25. 2024HLTCOE JHU Submission to the Voice Privacy Challenge 2024cited by 10
  26. 2021Attention Back-end for Automatic Speaker Verification with Multiple Enrollment Utterancescited by 8
  27. 2024NTU-NPU System for Voice Privacy 2024 Challengecited by 6
  28. 2025SpecWav-Attack: Leveraging Spectrogram Resizing and Wav2Vec 2.0 for Attacking Anonymized Speechcited by 5
  29. 2021On the invertibility of a voice privacy system using embedding alignementcited by 4
  30. 2023CN-Celeb-AV: A Multi-Genre Audio-Visual Dataset for Person Recognitioncited by 4

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 3.

4 papers.

  1. 2026The Third VoicePrivacy Challenge: Preserving Emotional Expressiveness and Linguistic Content in Voice Anonymizationcited by 8
  2. 2025Exploiting Context-dependent Duration Features for Voice Anonymization Attack Systemscited by 3
  3. 2026DAST: A Dual-Stream Voice Anonymization Attacker with Staged Trainingcited by 1
  4. 2026Hearing the Whispers: Black-Box Membership Inference Attacks on Finetuned TTS Modelscited by 0