ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech | Paper Citation Record

Observation 175b3a55-46dd-47de-9b2b-5791fe795be3 · outbound

This paper cites ISO/IEC 30107. Information technology – biometric presentation attack detection.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech ISO/IEC 30107. Information technology – biometric presentation attack detection

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.121208Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f830d327-0356-489a-ad9e-7fac3fe7304b · outbound

This paper cites Spoofing and countermeasures for speaker verification: A survey.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Spoofing and countermeasures for speaker verification: A survey

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.104853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5ebc99af-61b1-4bc3-a70b-429719ccd15e · outbound

This paper cites YourTTS: Towards zero-shot multi-speaker TTS and zero-shot voice conversion for everyone.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech YourTTS: Towards zero-shot multi-speaker TTS and zero-shot voice conversion for everyone

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.091618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6fe45123-f70d-4879-a045-96c76324eece · outbound

This paper cites Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:05.979217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 313cd24f-aec0-4943-874e-c9e1c0296af5 · outbound

This paper cites ESPnet-TTS: Unified, reproducible, and integratable open source end-to-end text-to-speech toolkit.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech ESPnet-TTS: Unified, reproducible, and integratable open source end-to-end text-to-speech toolkit

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.058441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e360a0de-707f-4755-ad3c-d34738fe1660 · outbound

This paper cites Eren and The Coqui TTS Team,Coqui TTS, version 1.4, Jan.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Eren and The Coqui TTS Team,Coqui TTS, version 1.4, Jan

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:05.972505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3f568c95-987a-4a97-81d0-51372695d0bd · outbound

This paper cites The IMS Toucan system for the Blizzard Challenge 2021.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech The IMS Toucan system for the Blizzard Challenge 2021

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.132415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 76152bf4-162a-4fb1-9811-3e6470977a89 · outbound

This paper cites Tan,Neural Text-to-Speech Synthesis, en.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Tan,Neural Text-to-Speech Synthesis, en

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.022204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8e09f72d-4ad2-48e7-8cd4-7ab2b5545cc4 · outbound

This paper cites Harper et al.,NeMo: a toolkit for Conversational AI and Large Language Models.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Harper et al.,NeMo: a toolkit for Conversational AI and Large Language Models

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.076397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5de04ef3-f143-41e1-8cba-debc9869ee0c · outbound

This paper cites an unresolved cited work.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-05-16T16:33:06.036776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0845d531-b83e-462f-bf27-ce0172fb0683 · outbound

This paper cites ASVspoof 2021: Towards spoofed and deepfake speech detection in the wild.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech ASVspoof 2021: Towards spoofed and deepfake speech detection in the wild

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:05.933945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a52cb117-01ba-4be1-988b-50e4aa922f85 · outbound

This paper cites Natural TTS synthesis by conditioning wavenet on Mel spectrogram predictions.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Natural TTS synthesis by conditioning wavenet on Mel spectrogram predictions

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.040835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 319443c1-d65c-45c3-8035-630084eed6c2 · outbound

This paper cites ADD 2022: The first audio deep synthesis detection challenge.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech ADD 2022: The first audio deep synthesis detection challenge

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.054412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f5a82933-e365-410f-9717-62215ebd3fd6 · outbound

This paper cites ADD 2023: The Second Audio Deepfake Detection Challenge.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech ADD 2023: The Second Audio Deepfake Detection Challenge

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.081670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 50e21ebb-cc72-46ea-a166-53bcd3cf56e8 · outbound

This paper cites SAFE: Synthetic Audio Forensics Evaluation Chal- lenge.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech SAFE: Synthetic Audio Forensics Evaluation Chal- lenge

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.038609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 641356e1-d4e3-41ef-acec-a357e397ecdf · outbound

This paper cites M ¨uller,Using mlaad for source tracing of audio deepfakes, https: //deepfake-total.com/sourcetracing, Fraunhofer AISEC, Nov.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech M ¨uller,Using mlaad for source tracing of audio deepfakes, https: //deepfake-total.com/sourcetracing, Fraunhofer AISEC, Nov

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.004721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f4ed3a25-c7eb-4fec-8b97-e80b27240966 · outbound

This paper cites ASVspoof 2015: The first automatic speaker verification spoofing and countermeasures challenge.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech ASVspoof 2015: The first automatic speaker verification spoofing and countermeasures challenge

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:05.947366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d64d5741-22b9-432c-81b7-f268a7341db1 · outbound

This paper cites WaveNet: A Generative Model for Raw Audio.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech WaveNet: A Generative Model for Raw Audio

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-16T16:33:05.908161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5f5ff42d-507a-45ef-9e04-bed4aa6a18f1 · outbound

This paper cites Tacotron: Towards End-to-End Speech Synthesis.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Tacotron: Towards End-to-End Speech Synthesis

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.123470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f3b6bb3d-7a5b-40cc-8190-9df0cb988a63 · outbound

This paper cites V oice Conversion Challenge 2020 — Intra-lingual semi-parallel and cross-lingual voice conversion —.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech V oice Conversion Challenge 2020 — Intra-lingual semi-parallel and cross-lingual voice conversion —

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.134746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c37c6c7f-4381-4b63-a389-06eec3aa52f8 · outbound

This paper cites Asvspoof 5: Design, collection and validation of resources for spoofing, deepfake, and adversarial attack detection using crowdsourced speech.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Asvspoof 5: Design, collection and validation of resources for spoofing, deepfake, and adversarial attack detection using crowdsourced speech

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:05.990684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 05e834d4-9228-413f-85cb-87b8c65b90c1 · outbound

This paper cites ASVspoof 5: Crowdsourced speech data, deepfakes, and adversarial attacks at scale.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech ASVspoof 5: Crowdsourced speech data, deepfakes, and adversarial attacks at scale

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:05.969521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cc52a5e1-b8d1-4579-9e44-bbfddc5d3a5c · outbound

This paper cites Application-independent evaluation of speaker detection.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Application-independent evaluation of speaker detection

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:05.985032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4ebe9966-8be4-43c9-8424-35e3a1aca1c9 · outbound

This paper cites a-DCF: An architecture ag- nostic metric with application to spoofing-robust speaker verification.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech a-DCF: An architecture ag- nostic metric with application to spoofing-robust speaker verification

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.042714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8752ebe6-32c8-4261-8b76-5554373ce305 · outbound

This paper cites Tandem assessment of spoofing countermeasures and automatic speaker verification: Funda- mentals.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Tandem assessment of spoofing countermeasures and automatic speaker verification: Funda- mentals

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.026928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 28a00588-a477-44c2-842a-5a2bd71baa55 · outbound

This paper cites t-EER: Parameter-free tandem evaluation of countermeasures and biometric comparators.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech t-EER: Parameter-free tandem evaluation of countermeasures and biometric comparators

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.046541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9c2e04f0-b33c-4c6c-911d-5e909eaf3ca9 · outbound

This paper cites Delgado et al.,ASVspoof 5 evaluation plan (phase 2).

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Delgado et al.,ASVspoof 5 evaluation plan (phase 2)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:05.922913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6c2a951c-277a-433d-aaca-c923df6a0461 · outbound

This paper cites MLS: A large-scale multilingual dataset for speech research.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech MLS: A large-scale multilingual dataset for speech research

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.044635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6430a903-dd2a-4ab1-8150-61dcff3c9879 · outbound

This paper cites Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systems.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systems

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.009415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 488a5a2c-fdc7-49c2-ad6f-a049f7bf812b · outbound

This paper cites Malacopula: Adversarial automatic speaker verifi- cation attacks using a neural-based generalised hammerstein model.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Malacopula: Adversarial automatic speaker verifi- cation attacks using a neural-based generalised hammerstein model

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.096137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a7068f96-1a90-474e-9c94-f3766d9231d6 · outbound

This paper cites Grad-TTS: A diffusion probabilistic model for text- to-speech.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Grad-TTS: A diffusion probabilistic model for text- to-speech

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.130290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e7936afa-2f3e-4a9e-a136-389d03aaddf1 · outbound

This paper cites Diffusion-based voice conversion with fast maximum likelihood sampling scheme.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Diffusion-based voice conversion with fast maximum likelihood sampling scheme

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.034730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b9a514c1-d117-4bdc-b155-0da021bcc951 · outbound

This paper cites Creating new language and voice com- ponents for the updated MaryTTS text-to-speech synthesis platform.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Creating new language and voice com- ponents for the updated MaryTTS text-to-speech synthesis platform

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.032670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2e9877f2-89da-4d10-b1e9-ecc446e8817d · outbound

This paper cites High fidelity neural audio compression.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech High fidelity neural audio compression

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:05.966475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0af4622b-aae4-43cb-bbbc-f0cc9bf3da71 · outbound

This paper cites Self-supervised speech representation learning: A review.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Self-supervised speech representation learning: A review

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:05.988036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7c33d293-153b-4464-b8b3-d85e072bb252 · outbound

This paper cites Investigating self-supervised front ends for speech spoofing countermeasures.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Investigating self-supervised front ends for speech spoofing countermeasures

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.118940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 188c12a3-89ee-4b82-b44b-467a7d3904f5 · outbound

This paper cites Automatic speaker verification spoofing and deepfake detection using Wav2vec 2.0 and data augmentation.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Automatic speaker verification spoofing and deepfake detection using Wav2vec 2.0 and data augmentation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.083861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 63971937-4ca9-4763-ba29-b496b0d6fcf6 · outbound

This paper cites Audio Deepfake Detection with Self- Supervised XLS-R and SLS Classifier.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Audio Deepfake Detection with Self- Supervised XLS-R and SLS Classifier

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.066305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 06145c41-9b93-42d5-9561-c6508b630656 · outbound

This paper cites V oxceleb2: Deep speaker recognition.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech V oxceleb2: Deep speaker recognition

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.139604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7829007e-d980-4e8b-b664-9fb28549b5b4 · outbound

This paper cites Librispeech: An ASR corpus based on public domain audio books.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Librispeech: An ASR corpus based on public domain audio books

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.064390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 02c3e1cf-accc-45db-84dd-40262aa0840c · outbound

This paper cites Yamagishi, C.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Yamagishi, C

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.107022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7721a97f-cdcb-4b7e-a816-9c5ecdf29d2d · outbound

This paper cites Libri-Light: A Benchmark for ASR with Limited or No Supervision.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Libri-Light: A Benchmark for ASR with Limited or No Supervision

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:05.936775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 108436f0-74fa-406f-8ffe-d8e7d8d6e008 · outbound

This paper cites Improved RawNet with feature map scaling for text-independent speaker verification using raw waveforms.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Improved RawNet with feature map scaling for text-independent speaker verification using raw waveforms

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.062367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 28b82bf8-7944-4b4a-a3a5-46565a8c7268 · outbound

This paper cites End-to-end anti-spoofing with RawNet2.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech End-to-end anti-spoofing with RawNet2

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:05.993170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e4c6084a-1349-4cdf-8b2c-4e5a051bfe40 · outbound

This paper cites AASIST: Audio anti-spoofing using integrated spectro-temporal graph attention networks.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech AASIST: Audio anti-spoofing using integrated spectro-temporal graph attention networks

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.014108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 52d2833a-b605-4860-b363-3f338903e6d1 · outbound

This paper cites SASV 2022: The first spoofing-aware speaker verification challenge.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech SASV 2022: The first spoofing-aware speaker verification challenge

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.068342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f5698958-7c70-4e21-9fa6-4b47088444db · outbound

This paper cites Revisiting and improving scoring fusion for spoofing- aware speaker verification using compositional data analysis.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Revisiting and improving scoring fusion for spoofing- aware speaker verification using compositional data analysis

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:05.982130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 91643fd1-5567-40ec-bde7-7e40effe8f38 · outbound

This paper cites MFA-conformer: Multi-scale feature aggregation conformer for automatic speaker verification.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech MFA-conformer: Multi-scale feature aggregation conformer for automatic speaker verification

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.011843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c0e42c20-24ff-4dec-b6e0-d641fe39dd3e · outbound

This paper cites an unresolved cited work.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-05-16T16:33:05.957448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 045e63bb-7d12-47f3-9a14-dfe8f00a0fe9 · outbound

This paper cites Ferrer,Calibration tutorial, https://github.com/luferrer/CalibrationTutorial.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Ferrer,Calibration tutorial, https://github.com/luferrer/CalibrationTutorial

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.050432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 35048c15-6cd3-458a-a19e-be151821e51d · outbound

This paper cites Br ¨ummer and E.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Br ¨ummer and E

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.052419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 72b3c206-6cda-44fd-b9b5-99e35daffc6e · outbound

This paper cites An overview of log likelihood ratio cost in forensic science – where is it used and what values can we expect?.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech An overview of log likelihood ratio cost in forensic science – where is it used and what values can we expect?

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:05.960162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f1b643c8-5344-4e67-a3ce-6471f5d52b93 · outbound

This paper cites Parallelchain lab’s anti-spoofing systems for asvspoof 5.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Parallelchain lab’s anti-spoofing systems for asvspoof 5

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:05.925773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4a622c3f-33bd-4d7f-b8be-ace7d8e0c189 · outbound

This paper cites Data augmentations for audio deepfake detection for the asvspoof5 closed condition.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Data augmentations for audio deepfake detection for the asvspoof5 closed condition

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.136982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 382545cb-43ef-4c4b-a10f-b80fa727eb91 · outbound

This paper cites USTC-KXDIGIT system description for asvspoof5 challenge.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech USTC-KXDIGIT system description for asvspoof5 challenge

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.007099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 597789ca-74e3-4ac4-b3c8-719fd4bf1e6a · outbound

This paper cites Intema system description for the asvspoof5 challenge: Power weighted score fusion.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Intema system description for the asvspoof5 challenge: Power weighted score fusion

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:05.995526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3c42d38b-d110-45e1-a566-abf5b6dea0b1 · outbound

This paper cites Exploring wavlm back-ends for speech spoofing and deepfake detection.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Exploring wavlm back-ends for speech spoofing and deepfake detection

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:05.997923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0a042feb-7a97-4446-91f6-1fa14f6dc63a · outbound

This paper cites Whispeak speech deepfake detection systems for the asvspoof5 challenge.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Whispeak speech deepfake detection systems for the asvspoof5 challenge

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.128186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d6259d0e-73b3-45e1-a670-227aeb2882c3 · outbound

This paper cites Szu-afs antispoofing system for the asvspoof 5 chal- lenge.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Szu-afs antispoofing system for the asvspoof 5 chal- lenge

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:05.976100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9a2e6650-a53f-4115-b93f-a492452491f9 · outbound

This paper cites Idvoice team system description for asvspoof5 challenge.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Idvoice team system description for asvspoof5 challenge

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.093580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 88a93f7c-d94f-4d5f-9bfe-e069b1cb7e6e · outbound

This paper cites ASASVIcomtech: the Vicomtech-UGR speech deepfake detection and SASV systems for the ASVspoof5 Challenge.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech ASASVIcomtech: the Vicomtech-UGR speech deepfake detection and SASV systems for the ASVspoof5 Challenge

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:05.919335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c0714b13-bf77-42b9-a85c-d3807984c17e · outbound

This paper cites Speaker recognition in unconstrained environments.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Speaker recognition in unconstrained environments

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.089403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fc953a78-1df8-4b55-8977-b2a8e2fc1097 · outbound

This paper cites SpecAugment: A simple data augmentation method for automatic speech recognition.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech SpecAugment: A simple data augmentation method for automatic speech recognition

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:05.949749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3ba15e97-774d-4ba4-97b3-d4d06275e693 · outbound

This paper cites Rawboost: A raw data boosting and augmentation method applied to automatic speaker verification anti-spoofing.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Rawboost: A raw data boosting and augmentation method applied to automatic speaker verification anti-spoofing

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:05.963710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e7d6dfec-fd0e-429e-a401-68c5463963c7 · outbound

This paper cites Deep residual learning for image recognition.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Deep residual learning for image recognition

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.000078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5474b36a-1bfc-4f00-a7b5-90e41e160194 · outbound

This paper cites Open source voice creation toolkit for the MARY TTS platform.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Open source voice creation toolkit for the MARY TTS platform

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:05.928468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 202b40c6-e2a9-4d5d-b767-7618364dfa49 · outbound

This paper cites Spoofed speech from the perspective of a forensic phonetician.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Spoofed speech from the perspective of a forensic phonetician

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.086744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dd8c775c-28d6-4f26-892e-d0f5d018f9a1 · outbound

This paper cites Wav2vec 2.0: A framework for self-supervised learning of speech representations.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Wav2vec 2.0: A framework for self-supervised learning of speech representations

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.002444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8e293c9f-2dea-4e11-8c46-f2050f13f62c · outbound

This paper cites Wavlm: Large-scale self-supervised pre-training for full stack speech processing.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Wavlm: Large-scale self-supervised pre-training for full stack speech processing

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.114377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation be81eb54-7fd0-4e4b-ac3a-1a506a29e253 · outbound

This paper cites An introduction to application- independent evaluation of speaker recognition systems.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech An introduction to application- independent evaluation of speaker recognition systems

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:05.954851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 898497bb-dc87-4283-bdb7-d5a4f542cff5 · outbound

This paper cites Out of a hundred trials, how many errors does your speaker verifier make?.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Out of a hundred trials, how many errors does your speaker verifier make?

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:05.952345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7968903d-0869-4193-ad1d-7d88ec4a7a0d · outbound

This paper cites Does Audio Deepfake Detection Generalize?.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Does Audio Deepfake Detection Generalize?

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.024571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3cd96266-f9f8-4f27-962a-3d52607f68a5 · outbound

This paper cites Nes2Net: A Lightweight Nested Architecture for Foundation Model Driven Speech Anti-spoofing.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Nes2Net: A Lightweight Nested Architecture for Foundation Model Driven Speech Anti-spoofing

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.072182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 669a9b25-71ed-4b6c-ad8e-5bd84f0ddbec · outbound

This paper cites MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detec- tion.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detec- tion

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.020227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d5b27cae-73c6-476f-96a4-bdd3fdca46c0 · outbound

This paper cites Mixture of low- rank adapter experts in generalizable audio deepfake detection.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Mixture of low- rank adapter experts in generalizable audio deepfake detection

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:33:05.903230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 11e296c5-918f-4517-b40e-9819b9e0d9d0 · outbound

This paper cites MLAAD: The Multi-Language Audio Anti- Spoofing Dataset.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech MLAAD: The Multi-Language Audio Anti- Spoofing Dataset

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.070206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ea0ca498-ba3b-4fbc-9644-5c7a21157f40 · outbound

This paper cites Revealing Cross-Lingual Bias in Synthetic Speech Detection under Controlled Conditions.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Revealing Cross-Lingual Bias in Synthetic Speech Detection under Controlled Conditions

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.018209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7b9ac3a4-6df1-41ea-9db3-6ed9e5239dff · outbound

This paper cites Towards quantifying and reducing language mismatch effects in cross-lingual speech anti-spoofing.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Towards quantifying and reducing language mismatch effects in cross-lingual speech anti-spoofing

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.100431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation af265796-a0c4-4a07-8711-fcc19ee15572 · outbound

This paper cites Unmasking real-world audio deepfakes: A data- centric approach.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Unmasking real-world audio deepfakes: A data- centric approach

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.116697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5c4b1543-e5c1-4e5e-b07b-e0d276727187 · outbound

This paper cites An initial investigation for detecting vocoder fingerprints of fake audio.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech An initial investigation for detecting vocoder fingerprints of fake audio

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:05.913197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 86df6030-3d18-46f6-b868-5fb2238c9e27 · outbound

This paper cites Source tracing: Detecting voice spoofing.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Source tracing: Detecting voice spoofing

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.028888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cf6bdd78-0562-43b1-a29a-b981e9567040 · outbound

This paper cites Source tracing of audio deepfake systems.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Source tracing of audio deepfake systems

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:05.939454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation da50e89e-b5df-4ed9-98cb-c4768902b864 · outbound

This paper cites Towards explainable spoofed speech attribution and detection: A probabilistic approach for characterizing speech synthe- sizer components.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Towards explainable spoofed speech attribution and detection: A probabilistic approach for characterizing speech synthe- sizer components

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.074159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9f963867-8c47-453e-9e34-acf45be82ee6 · outbound

This paper cites Proactive detection of voice cloning with localized watermarking.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Proactive detection of voice cloning with localized watermarking

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.078611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 20ff2d8b-1f31-4b27-901e-77299b910ce5 · outbound

This paper cites Open-set source tracing of audio deepfake systems.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Open-set source tracing of audio deepfake systems

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.109350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f0828847-888b-4f6b-b927-eedd2383a5cd · outbound

This paper cites TADA: Training-free attribution and out-of-domain detection of audio deepfakes.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech TADA: Training-free attribution and out-of-domain detection of audio deepfakes

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.125930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 406e63e2-4cc7-42c3-a441-6f7df9bfa2f9 · outbound

This paper cites Neural Codec Source Tracing: Toward Comprehensive Attribution in Open-Set Condition.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Neural Codec Source Tracing: Toward Comprehensive Attribution in Open-Set Condition

Reference 87

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:33:05.893221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 328ffd88-05fa-4ad1-b128-d29dfa22e748 · outbound

This paper cites Codec-based deepfake source tracing via neural audio codec taxonomy.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Codec-based deepfake source tracing via neural audio codec taxonomy

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:05.931428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7974d150-1c8b-40c7-8962-f9caa95c451f · outbound

This paper cites Towards generalized source tracing for codec-based deepfake speech.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Towards generalized source tracing for codec-based deepfake speech

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:05.942096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 62251bcc-ec3a-4282-b32f-0cf0b49ba1b8 · outbound

This paper cites Synthetic speech source tracing using metric learning.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Synthetic speech source tracing using metric learning

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:05.944736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 96ab4214-8ac8-468a-ba39-f78da93641fb · outbound

This paper cites Unveiling audio deepfake origins: A deep metric learning and conformer network approach with ensemble fusion.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Unveiling audio deepfake origins: A deep metric learning and conformer network approach with ensemble fusion

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.098178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d49dcc0f-5435-4c26-923e-b1e9d598838d · outbound

This paper cites Stopa: A database of systematic variation of deepfake audio for open-set source tracing and attribution.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Stopa: A database of systematic variation of deepfake audio for open-set source tracing and attribution

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.056437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 65bb428f-3b1f-4739-a51e-11e969268b81 · outbound

This paper cites Audio deepfake source tracing using multi-attribute open-set identification and verification.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Audio deepfake source tracing using multi-attribute open-set identification and verification

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.030736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4143aef8-8338-44a2-8dab-30da95c9628c · outbound

This paper cites Acoustic phonetic temporal speech representation.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Acoustic phonetic temporal speech representation

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.016134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a4f7c80a-dbe4-46e5-b540-ccd2e6e915fe · outbound

This paper cites Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.111977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dfdcbd55-9465-41a3-9629-4457244d66d8 · outbound

This paper cites The Vicomtech Audio Deepfake Detection System Based on Wav2vec2 for the 2022 ADD Challenge.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech The Vicomtech Audio Deepfake Detection System Based on Wav2vec2 for the 2022 ADD Challenge

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.048441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3eb1e558-1bb9-49e6-aa81-2598cf42e631 · outbound

This paper cites Safe: Synthetic audio forensics evaluation challenge.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Safe: Synthetic audio forensics evaluation challenge

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.060379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 23428916-f6d1-42c2-9886-802776ae0ba4 · outbound

This paper cites Replay Attacks Against Audio Deepfake Detection.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Replay Attacks Against Audio Deepfake Detection

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:33:06.102566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2257b55f-f63c-4879-b5d1-3ec21ab2702b · outbound

This paper cites Asvspoof 2019: Spoofing countermeasures for the detection of synthesized, converted and replayed speech.

ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech Asvspoof 2019: Spoofing countermeasures for the detection of synthesized, converted and replayed speech

Reference 99

Resolution: malformed identifier; raw_fallback, observed 2026-05-16T16:33:05.916343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers