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Paper Citation Record · LEDGER

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection

As of 8 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 1 inbound Pith citation observation for arXiv:2607.23961.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.23961 v1

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:27:05.730485Z

measured 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:26:58.758683Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

69 of 69 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved67
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bc22a572-0508-4df4-a230-256339f3126e · outbound

This paper cites Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection

Reference 1

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Observation de3f0394-193a-49ca-b2bb-582614cb3b69 · outbound

This paper cites Hand-crafted Feature-based Audio Deepfake Detec- tion Hand-crafted features (e.g., Mel Spectrogram) are widely used across many speech-related fields.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Hand-crafted Feature-based Audio Deepfake Detec- tion Hand-crafted features (e.g., Mel Spectrogram) are widely used across many speech-related fields

Reference 2

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Observation dcdb5e9e-6ce6-4536-89f7-7d9e7b0d71c7 · outbound

This paper cites Considering this, we propose two methods to explicitly allow the system to understand the special information: multitask (MT) and gradient reversal layer (GRL).

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Considering this, we propose two methods to explicitly allow the system to understand the special information: multitask (MT) and gradient reversal layer (GRL)

Reference 3

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Observation 116c7974-2a51-4168-aec9-acce481ccadb · outbound

This paper cites Datasets We construct a large-scale unified corpus for training and vali- dation by combining multiple publicly available datasets.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Datasets We construct a large-scale unified corpus for training and vali- dation by combining multiple publicly available datasets

Reference 4

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Observation 56e80319-b7a4-41f0-8d07-35625f1baac0 · outbound

This paper cites an unresolved cited work.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Unresolved cited work

Reference 5

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Observation 64f6e134-aa2f-4cc4-bfc5-76f9d8fdbed7 · outbound

This paper cites an unresolved cited work.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Unresolved cited work

Reference 6

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Observation 762f883f-3d86-429e-8d92-324311d993a7 · outbound

This paper cites First, MT and GRL are investigated as two separate strategies.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection First, MT and GRL are investigated as two separate strategies

Reference 7

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Observation d89f258b-4f8a-425e-9156-f3dc99fc1db5 · outbound

This paper cites We thank Jan Vainer from Meaning for his helpful assistance.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection We thank Jan Vainer from Meaning for his helpful assistance

Reference 8

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Observation 5bf6ca91-532e-4058-9ac4-b7482a696029 · outbound

This paper cites All research ideas, experimental design, implemen- tation, data analysis, results, and conclusions were developed and finalized by the author.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection All research ideas, experimental design, implemen- tation, data analysis, results, and conclusions were developed and finalized by the author

Reference 9

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Observation 1f0d9aea-95cb-4395-83a3-8b6043e81270 · outbound

This paper cites Asr model adaptation for rare words using synthetic data generated by multiple text- to-speech systems,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Asr model adaptation for rare words using synthetic data generated by multiple text- to-speech systems,

Reference 10

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Observation c8f50d31-b730-4256-8a49-779a686c64fb · outbound

This paper cites The defender's perspective on automatic speaker verification: An overview.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection The defender's perspective on automatic speaker verification: An overview

Reference 11

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Observation 520d173b-1a37-4174-a272-65d50c447e63 · outbound

This paper cites Voice Spoofing Countermeasures: Taxonomy, State-of-the-art, experimental analysis of generalizability, open challenges, and the way forward.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Voice Spoofing Countermeasures: Taxonomy, State-of-the-art, experimental analysis of generalizability, open challenges, and the way forward

Reference 12

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Observation 73cfb624-1a90-4125-8304-dd56d6ca1086 · outbound

This paper cites A comprehensive survey with critical analysis for deepfake speech detection,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection A comprehensive survey with critical analysis for deepfake speech detection,

Reference 13

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Observation e68dc202-5c55-41f7-83aa-9ae2f8939c64 · outbound

This paper cites Improving automatic speech recogni- tion performance for low-resource languages with self-supervised models,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Improving automatic speech recogni- tion performance for low-resource languages with self-supervised models,

Reference 14

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Observation ffd2280f-f4ed-4f6d-a23d-e68325c13327 · outbound

This paper cites ESPnet-SPK: full pipeline speaker embedding toolkit with reproducible recipes, self-supervised front-ends, and off-the-shelf models.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection ESPnet-SPK: full pipeline speaker embedding toolkit with reproducible recipes, self-supervised front-ends, and off-the-shelf models

Reference 15

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Observation 0e45986a-2455-4df6-acc4-52d28aab381f · outbound

This paper cites A survey on speech deep- fake detection,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection A survey on speech deep- fake detection,

Reference 16

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Observation babf1338-1d24-4fbc-b79c-e0232286d8da · outbound

This paper cites Singing Voice Graph Modeling for SingFake Detection.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Singing Voice Graph Modeling for SingFake Detection

Reference 17

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source=pdf_text observed=2026-07-31T23:27:00.570427Z digest=sha256:815341c1b687aef034e8085fc69f6cc5987a34a382d36afc8b39bb93dd0f3722

Observation 685881bf-2c0b-447a-abe9-f470c9b3fd86 · outbound

This paper cites Slim: Style- linguistics mismatch model for generalized audio deepfake de- tection,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Slim: Style- linguistics mismatch model for generalized audio deepfake de- tection,

Reference 18

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Observation 33f2ccd8-6bb8-46b3-87c4-77a1fb6909b3 · outbound

This paper cites Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation

Reference 19

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Observation cc2861ab-5218-44b2-a2ec-09fa1f1307ef · outbound

This paper cites A robust audio deepfake detection system via multi-view fea- ture,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection A robust audio deepfake detection system via multi-view fea- ture,

Reference 20

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Observation caf4238c-11bb-4c9d-9871-c9e4f05cf1be · outbound

This paper cites V oice deepfake detec- tion using the self-supervised pre-training model hubert,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection V oice deepfake detec- tion using the self-supervised pre-training model hubert,

Reference 21

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Observation 7ee64046-3662-4720-8925-83485c629d0c · outbound

This paper cites Ur channel-robust syn- thetic speech detection system for asvspoof 2021,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Ur channel-robust syn- thetic speech detection system for asvspoof 2021,

Reference 22

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source=pdf_text observed=2026-07-31T23:27:00.930295Z digest=sha256:100d2c5cd2067168df7a4d11104606b584a8dbc6c2d57de78c42331c5ee800f2

Observation 0d252a27-4633-4f69-9fc1-9536e66e5203 · outbound

This paper cites Transferring audio deepfake detection capability across lan- guages,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Transferring audio deepfake detection capability across lan- guages,

Reference 23

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Observation d8a33524-c9b7-4a33-9bd8-dfdbcb0abbe5 · outbound

This paper cites An empirical study on channel effects for synthetic voice spoofing countermeasure systems,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection An empirical study on channel effects for synthetic voice spoofing countermeasure systems,

Reference 24

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source=pdf_text observed=2026-07-31T23:27:01.105943Z digest=sha256:dcb7e3b3f45b339301ed2c53b4b3713cfdffc683fdafd424cba7b07c64062d34

Observation dc91af25-e02e-4d85-96b2-9825f478bbda · outbound

This paper cites Vfd-net: V ocoder fingerprints detection for fake audio,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Vfd-net: V ocoder fingerprints detection for fake audio,

Reference 25

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Observation 459f5b67-57bc-44ad-bd65-490ef13c89ae · outbound

This paper cites Synthetic Speech Detection Based on Temporal Consistency and Distribution of Speaker Features.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Synthetic Speech Detection Based on Temporal Consistency and Distribution of Speaker Features

Reference 26

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source=pdf_text observed=2026-07-31T23:27:01.251966Z digest=sha256:3bab1310f4d38fd612d715a9aadecd8b80ce02e4ed7fc48b3dbaf97cde038714

Observation 56c7876a-36a3-4096-9d7b-f2868f12d60b · outbound

This paper cites Hm-conformer: A conformer-based audio deepfake detection system with hierarchical pooling and multi-level classification to- ken aggregation methods,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Hm-conformer: A conformer-based audio deepfake detection system with hierarchical pooling and multi-level classification to- ken aggregation methods,

Reference 27

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source=pdf_text observed=2026-07-31T23:27:01.361571Z digest=sha256:bed39d789045f22ed22e55aad4d1e7908cb4c5c11b37747d6af9ab9bb45cc4f5

Observation 929a8326-9bf3-4735-b889-4a272f7b186b · outbound

This paper cites Conformer: Convolution-augmented Transformer for Speech Recognition.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Conformer: Convolution-augmented Transformer for Speech Recognition

Reference 28

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source=pdf_text observed=2026-07-31T23:27:01.470447Z digest=sha256:e8cab29755d1d285c58d853f55ba0061e3823d18b2c26fdcc2bd9d22e9badd04

Observation 13d4a3f5-87ee-440b-9b08-aaf5ac8db66e · outbound

This paper cites Generalized Spoofing Detection Inspired from Audio Generation Artifacts.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Generalized Spoofing Detection Inspired from Audio Generation Artifacts

Reference 29

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source=pdf_text observed=2026-07-31T23:27:01.572345Z digest=sha256:bba79493a08d4116864507de27624c30eb6053587956ac06e50724c948446ef8

Observation 39088ad7-79f9-48bc-a7b9-a9b7674c492c · outbound

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

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Wavlm: Large-scale self- supervised pre-training for full stack speech processing,

Reference 30

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source=pdf_text observed=2026-07-31T23:27:01.711894Z digest=sha256:90dcfd1235ac095bf8b921c7fb9624f8c846a64df115d070d46cb6322d653093

Observation 1f996e3e-ffab-4109-98c9-79221fde8f6b · outbound

This paper cites Hubert: Self-supervised speech represen- tation learning by masked prediction of hidden units,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Hubert: Self-supervised speech represen- tation learning by masked prediction of hidden units,

Reference 31

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source=pdf_text observed=2026-07-31T23:27:01.856841Z digest=sha256:07cebb1bee9dcb8dd53983a006340a19c4e8c124fda5162b72e6f2f6c3b1b24e

Observation 0b861914-82ff-48b1-be3f-ce3c9abb3bc3 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations,

Reference 32

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source=pdf_text observed=2026-07-31T23:27:01.981034Z digest=sha256:32916bff38fa89e1a688e29738ad66fb2ffa066cd23f2a1b47c6deb5358b34e2

Observation af26c9ad-3b23-4deb-be16-701e9507960f · outbound

This paper cites XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

Reference 33

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source=pdf_text observed=2026-07-31T23:27:02.078077Z digest=sha256:250acc0ef0f02e11c180d79dce00e0e080c0802f887d9fc14134b82b7b87b41f

Observation 915029ad-842f-43e2-95f6-66fbaf89494a · outbound

This paper cites Audio deepfake detection with self-supervised xls-r and sls classifier,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Audio deepfake detection with self-supervised xls-r and sls classifier,

Reference 35

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source=pdf_text observed=2026-07-31T23:27:02.227090Z digest=sha256:82f83565e668fb1bebe7847d4ee5dc17361773c271f079a881df9cab8ec88750

Observation 6f553419-8b9f-4ace-8593-21e7a54098b6 · outbound

This paper cites Audio deep- fake detection with self-supervised wavlm and multi-fusion atten- tive classifier,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Audio deep- fake detection with self-supervised wavlm and multi-fusion atten- tive classifier,

Reference 36

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Observation 6a00d65f-9842-4a00-9e25-804f8901be92 · outbound

This paper cites Comprehensive layer-wise analysis of ssl models for audio deep- fake detection,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Comprehensive layer-wise analysis of ssl models for audio deep- fake detection,

Reference 37

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Observation a1ff0b3b-ccfc-4792-815c-14797aec574d · outbound

This paper cites ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification

Reference 38

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Observation 19cd1bd1-1fd7-465d-bfff-47a130652c2f · outbound

This paper cites BiCrossMamba-ST: Speech Deepfake Detection with Bidirectional Mamba Spectro-Temporal Cross-Attention.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection BiCrossMamba-ST: Speech Deepfake Detection with Bidirectional Mamba Spectro-Temporal Cross-Attention

Reference 39

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Observation 62b980f6-bb8e-4ba6-8197-e4251ff5a905 · outbound

This paper cites Aasist: Audio anti-spoofing using in- tegrated spectro-temporal graph attention networks,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Aasist: Audio anti-spoofing using in- tegrated spectro-temporal graph attention networks,

Reference 40

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source=pdf_text observed=2026-07-31T23:27:02.690436Z digest=sha256:c689b006289e40cf6911ded3981be68b661068d9e68a3fd744d64c85968872f0

Observation b1453b9c-e015-4be6-bef4-8c5e582d78db · outbound

This paper cites A SUPERB-Style Benchmark of Self-Supervised Speech Models for Audio Deepfake Detection.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection A SUPERB-Style Benchmark of Self-Supervised Speech Models for Audio Deepfake Detection

Reference 41

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Observation 9b2ec74a-e66c-42bf-837d-4830e65a1d9b · outbound

This paper cites Free English and Czech telephone speech corpus shared under the CC-BY-SA 3.0 license,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Free English and Czech telephone speech corpus shared under the CC-BY-SA 3.0 license,

Reference 42

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source=pdf_text observed=2026-07-31T23:27:02.877234Z digest=sha256:137baff2a2b9d5a213028d9dc3e69842ff60a9ba91cf449e452d9b2c0fcd3872

Observation 519d7954-f21e-4bd5-9c6d-797bc14ae410 · outbound

This paper cites MUSAN: A Music, Speech, and Noise Corpus.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection MUSAN: A Music, Speech, and Noise Corpus

Reference 43

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source=pdf_text observed=2026-07-31T23:27:02.958355Z digest=sha256:cf6fa1d3d0eef4915778dcfe1c5cb926177e476b6b873d1e5d9710bad06718cb

Observation 14350ad8-7103-48ce-87cb-847d45ac1386 · outbound

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

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Raw- boost: A raw data boosting and augmentation method applied to automatic speaker verification anti-spoofing,

Reference 44

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source=pdf_text observed=2026-07-31T23:27:03.048074Z digest=sha256:7c8d640e1dbd177ceedfb31ea7487a0a60ee7beb1d8bb727a2e01f7144c18f01

Observation 5fac8158-12e9-4aff-a6fc-9e0502b9881e · outbound

This paper cites Leveraging mixture of experts for improved speech deepfake de- tection,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Leveraging mixture of experts for improved speech deepfake de- tection,

Reference 45

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Observation 2c14d0c4-0f88-4624-9bb4-c45ff988f927 · outbound

This paper cites Dive into moe: Diversity-enhanced reconstruction of large lan- guage models from dense into mixture-of-experts,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Dive into moe: Diversity-enhanced reconstruction of large lan- guage models from dense into mixture-of-experts,

Reference 46

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source=pdf_text observed=2026-07-31T23:27:03.218139Z digest=sha256:ba08c06e4ee23360d65897ca87dfce7f1bb896bb3ea76235eb355eff261aa41b

Observation 7716cb0e-2e91-4621-bd9f-0289b1e4df84 · outbound

This paper cites Asvspoof: The automatic speaker verification spoofing and countermeasures challenge,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Asvspoof: The automatic speaker verification spoofing and countermeasures challenge,

Reference 47

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source=pdf_text observed=2026-07-31T23:27:03.318880Z digest=sha256:c7f1fbf7a610bfcf8b2ef7cd3ebe76393ff51bbb1a5046501d51668f8761104f

Observation 049da056-d5bc-4825-aeef-66e3d41a3e2a · outbound

This paper cites ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection

Reference 48

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Observation 2f7e4acd-b1d3-4ff7-a166-eecc6e145934 · outbound

This paper cites ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Reference 49

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source=pdf_text observed=2026-07-31T23:27:03.481315Z digest=sha256:9ae2275d954c063fd8a22fe773bb3f1d1981cd234d5703f59ad07c161ac39970

Observation a3920314-4763-4681-806a-a7449ac1435e · outbound

This paper cites For: A dataset for synthetic speech detection.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection For: A dataset for synthetic speech detection

Reference 50

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source=pdf_text observed=2026-07-31T23:27:03.609407Z digest=sha256:cabe45bb5a9dd779905187fa4c37bdb7ec84c00695c28936db17e8ccdbe8a2af

Observation ed684bd8-a346-43a9-b31c-4d75768a2ac4 · outbound

This paper cites Dfadd: The diffusion and flow- matching based audio deepfake dataset,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Dfadd: The diffusion and flow- matching based audio deepfake dataset,

Reference 51

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source=pdf_text observed=2026-07-31T23:27:03.702682Z digest=sha256:4b8b9b7be6347cdadd6a80f5c8d3522ce85978afbfda673d0750e6180fe304f7

Observation 98b47999-2ad6-45dd-8999-8c6578ccedff · outbound

This paper cites Mlaad: The multi- language audio anti-spoofing dataset,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Mlaad: The multi- language audio anti-spoofing dataset,

Reference 52

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source=pdf_text observed=2026-07-31T23:27:03.797630Z digest=sha256:e54e232082692847d5c3f0e7e93216ff7c35e1f86645e063c74ec2e003c79316

Observation f89b24e3-32b8-4421-9535-15a6732fe993 · outbound

This paper cites The codecfake dataset and counter- measures for the universally detection of deepfake audio,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection The codecfake dataset and counter- measures for the universally detection of deepfake audio,

Reference 53

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source=pdf_text observed=2026-07-31T23:27:03.882846Z digest=sha256:2a2a78eae89eaa70b29d589e74391d0154f27d83672db0e209549280f5950141

Observation e56d14ec-eeed-4475-8634-41a523f42998 · outbound

This paper cites Spoofceleb: Speech deepfake detection and sasv in the wild,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Spoofceleb: Speech deepfake detection and sasv in the wild,

Reference 54

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source=pdf_text observed=2026-07-31T23:27:03.977907Z digest=sha256:448718a97a25e57fd11996d0f28a71fd22399d9a62f7615811692a2a3f2545c8

Observation 4cf96ebb-5e36-4cfc-a81d-51b399b4e03d · outbound

This paper cites Lib- rispeech: an asr corpus based on public domain audio books,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Lib- rispeech: an asr corpus based on public domain audio books,

Reference 55

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source=pdf_text observed=2026-07-31T23:27:04.075643Z digest=sha256:7a2850f5166fdb458ef7da8eb344b74108be042e082140ed92a9e8089f1e21b9

Observation 8aaa4204-8a79-4717-82db-f85feee7723d · outbound

This paper cites The first voiceprivacy attacker challenge,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection The first voiceprivacy attacker challenge,

Reference 56

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source=pdf_text observed=2026-07-31T23:27:04.177684Z digest=sha256:fa94e4bb820cbf7147d2e2b9de473fbe0321f13d9fb1dca8c5fe7fb9c86e674a

Observation 59ab9dcc-0244-48d2-babc-d75a5abcf011 · outbound

This paper cites Sonar: A synthetic ai-audio de- tection framework and benchmark,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Sonar: A synthetic ai-audio de- tection framework and benchmark,

Reference 57

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source=pdf_text observed=2026-07-31T23:27:04.250123Z digest=sha256:768d3b02479c925dcd2b635fec7bae9ac524eada8fbe20318d2a0ae3967316dc

Observation c33881f8-9152-46fc-b8b9-8e2b25825690 · outbound

This paper cites Ai-synthesized voice detection using neural vocoder artifacts,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Ai-synthesized voice detection using neural vocoder artifacts,

Reference 58

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source=pdf_text observed=2026-07-31T23:27:04.357311Z digest=sha256:28fae751344635a4d8f3d6f49dd73edcec947cbad951c363f7af93eb60ad3ec8

Observation e555d357-2c8f-490e-a7b1-7f800f4d580d · outbound

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

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Asvspoof 2021: Towards spoofed and deepfake speech detection in the wild,

Reference 59

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source=pdf_text observed=2026-07-31T23:27:04.463685Z digest=sha256:537a8ba9d94ae7383b76aa61ce820454c96d039341fdaf36a763621ae06fdc7b

Observation 25652869-4f36-42b9-9d04-e7c566a13d34 · outbound

This paper cites Does audio deepfake detection generalize?.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Does audio deepfake detection generalize?

Reference 60

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Observation 0792ec62-40c9-4d85-a8d0-2b0f51e6e0d3 · outbound

This paper cites Add 2022: the first audio deep synthe- sis detection challenge,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Add 2022: the first audio deep synthe- sis detection challenge,

Reference 61

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source=pdf_text observed=2026-07-31T23:27:04.680488Z digest=sha256:df0e12edcda94aae54427154974018d2d560a06c56531076fe11ebe28cc00849

Observation c9e58472-da72-46d3-996a-8cd1eca8fe3c · outbound

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

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection ADD 2023: the Second Audio Deepfake Detection Challenge

Reference 62

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source=pdf_text observed=2026-07-31T23:27:04.789222Z digest=sha256:9fc715b37f4c1b26976bdb7101a9941b898a89543f0936715e4571d31d18d918

Observation 713bb42f-fce5-4c43-9166-fa544617fe80 · outbound

This paper cites Exploring generalization to unseen audio data for spoofing: Insights from ssl models,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Exploring generalization to unseen audio data for spoofing: Insights from ssl models,

Reference 63

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source=pdf_text observed=2026-07-31T23:27:04.928058Z digest=sha256:3460262895086e5918b1b072c954c648c74216348016fed585e81dbd9bb37d5b

Observation 68a1e3ab-ebfd-49a8-ab12-1759700a6bc2 · outbound

This paper cites Speech df arena: A leaderboard for speech deepfake detection models,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Speech df arena: A leaderboard for speech deepfake detection models,

Reference 64

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source=pdf_text observed=2026-07-31T23:27:05.054757Z digest=sha256:afe247eb6c545f32f9172ee098c7a7de793bce24b49e9ba954bf5863da6c3310

Observation 25285fe2-94de-471b-a02e-3497ba36ea7b · outbound

This paper cites Do compact ssl backbones matter for audio deepfake detection? a controlled study with raptor,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Do compact ssl backbones matter for audio deepfake detection? a controlled study with raptor,

Reference 65

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source=pdf_text observed=2026-07-31T23:27:05.184685Z digest=sha256:37bbe9d374391052d1c22c4421321d2b7e34e31d279e2aac5d52ea0b740158fb

Observation bdbad376-d924-4084-97f4-3d7afb90acff · outbound

This paper cites Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection

Reference 66

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source=pdf_text observed=2026-07-31T23:27:05.324499Z digest=sha256:c2a0cfd7be2a7bf4cf88728ffeb53cc613d74f5f5fb5051a14bcacaa90d34751

Observation fc7fa19f-d842-4e15-ad1c-caa868fcd650 · outbound

This paper cites Nes2net: A lightweight nested architecture for foundation model driven speech anti-spoofing,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Nes2net: A lightweight nested architecture for foundation model driven speech anti-spoofing,

Reference 67

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source=pdf_text observed=2026-07-31T23:27:05.434793Z digest=sha256:8d5bc781f5e93fa755b5bd72626ebba01d884b8801670c2f942b274e087b8698

Observation 82f4a9ca-6f23-4ca4-bb8e-976ee2d8103d · outbound

This paper cites Xlsr-mamba: A dual-column bidirec- tional state space model for spoofing attack detection,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Xlsr-mamba: A dual-column bidirec- tional state space model for spoofing attack detection,

Reference 68

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:05.544353Z digest=sha256:f048de57197891382d384c6b964b9e4afb1c338c4c4fa8197d05db6d50d9a0ea

Observation 657211b7-434e-4d3e-bf65-3943286f554b · outbound

This paper cites Improved DeepFake Detection Using Whisper Features.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Improved DeepFake Detection Using Whisper Features

Reference 69

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source=pdf_text observed=2026-07-31T23:27:05.652527Z digest=sha256:fbd9372702f311eabe3f35228f2e784a93df327e210e1e6cae5ca8f7943e5bc0

Observation 43581c37-f2a4-4509-babf-e337a3a127d3 · outbound

This paper cites SpeechBrain: A General-Purpose Speech Toolkit.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection SpeechBrain: A General-Purpose Speech Toolkit

Reference 70

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source=pdf_text observed=2026-07-31T23:27:05.730485Z digest=sha256:b7e846b6608993311971a61747a87ac4917a6b62a2b043bc443fb4b8081093c3

Pith citing papers

Observation bc22a572-0508-4df4-a230-256339f3126e · inbound

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection cites this paper.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection

Reference 1

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source=pdf_text observed=2026-07-31T23:26:58.758683Z digest=sha256:5e9b4fc7894fa19ce427fac5022dec0b862e00f3dce3578bd597d50a4437555b