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Source: paper_references, paper_reference_links, observed 2026-08-04T19:27:38.554271Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2509.09296.
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Source: paper_references, paper_reference_links, observed 2026-08-04T19:27:38.554271Z
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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
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Source: cited_works
43 of 43 outbound references displayed
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Observation d39a6b6c-8325-4fae-b7b7-bd1699440c3e · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Speaker Recognition Based on Deep Learning: An Overview,
Reference 1
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Observation 6209c17b-9bb0-43d2-afd2-2c71841cb5c2 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Adversarial Attack and Defense Strategies of Speaker Recognition Systems: A Survey,
Reference 2
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Observation 4ddc6da2-b4ad-420d-8748-e9172fd96a2f · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Audio Deepfake Detection: A Survey
Reference 3
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Observation 50792f64-08d2-4e22-ac31-601c284a24e3 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Black-box Attacks on Spoofing Countermeasures Using Transferability of Adversarial Exam- ples
Reference 4
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Observation 62e1a2a6-306b-4543-8281-842b1e918483 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses AdvSV: An Over-the-air Adversarial Attack Dataset for Speaker Verification,
Reference 5
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Observation f8a32f76-b91c-415f-81eb-df3c6c04a195 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses An Initial Investigation of Neural Replay Simulator for Over-the-air Adversarial Perturbations to Automatic Speaker Verification,
Reference 6
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Observation 1af80839-8663-4ac7-b15a-9eb00a61a3a0 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses The Defender’s Perspective on Automatic Speaker Verification: An Overview,
Reference 7
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Observation 64132742-51fb-4480-a73d-4a64d902da11 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Study of Pre-processing Defenses against Adversarial Attacks on State-of-the-art Speaker Recognition Systems,
Reference 8
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Observation 6f88b312-a6aa-4feb-873b-6c44e19a9127 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Representation Learning to Classify and Detect Adversarial Attacks against Speaker and Speech Recognition Systems,
Reference 9
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Observation 010ada75-aeb6-4214-a01c-d1eb211480e9 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses In- vestigating Robustness of Adversarial Samples Detection for Automatic Speaker Verification,
Reference 10
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Observation 6d1337de-3f43-4ec4-baaa-a83f822a0cd8 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Adversarial Sample Detection for Speaker Verification By Neural V ocoders,
Reference 11
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Observation a330ab30-da93-4db3-a34e-4ae3025bd56f · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Improving the Adversarial Robustness for Speaker Verification by Self-supervised Learning,
Reference 12
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Observation 95dbda95-5d8f-43cb-b082-b71aceb8e94a · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses LMD: A Learnable Mask Network to Detect Adversarial Examples for Speaker Verification,
Reference 13
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Observation 83e5ea49-e252-4400-ac6d-38f79b4ae678 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Defending against Adver- sarial Audio via Diffusion Model,
Reference 14
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Observation 70e783ef-bdcc-4bb2-bfe1-f2541f3eba65 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses FoolHD: Fooling Speaker Identification By Highly Imperceptible Adversarial Disturbances,
Reference 15
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Observation 21cd331b-c59d-4f8c-b47d-6ca28a0f8dee · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems,
Reference 16
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Observation e8959a6b-1665-4098-bd2d-7b17c5ec1ad0 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Speaker-specific Utterance En- semble Based Transfer Attack on Speaker Identification,
Reference 17
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Observation 9be715c9-640d-4e6a-9d8d-ff7f309625cc · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Interpretable Spectrum Transformation Attacks to Speaker Recognition Systems,
Reference 18
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Observation 16fdd9bc-b113-4e11-a670-fac97455173c · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Real-time, Universal, and Robust Adversarial Attacks against Speaker Recognition Systems,
Reference 19
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Observation 4deeefa8-7a6f-4577-8766-a885277da6bb · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses CommanderSong: A Systematic Approach for Practical Adversarial V oice Recognition,
Reference 20
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Observation 0011003a-c5d5-4913-a243-990fc8b39649 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Black-Box Adversarial Attacks on Commercial Speech Platforms with Minimal Information,
Reference 21
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Observation 133428ce-8164-4643-8b50-922b1e510ac7 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses QFA2SR: Query-Free Ad- versarial Transfer Attacks to Speaker Recognition Systems,
Reference 22
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Observation 1e3966f3-53bc-4f64-8511-38e94ba2eca5 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Effective and Inconspicuous Over-the-air Adversarial Examples with Adaptive Filtering,
Reference 23
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Observation abbaffdd-d7bc-4984-997d-6fd13308bd13 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses UTIO: Universal, Targeted, Im- perceptible and Over-the-air Audio Adversarial Example,
Reference 24
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Observation 5ac9661d-5a89-47a8-a473-6676d7ff6602 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Neural Codec-based Adversarial Sample Detection for Speaker Verification
Reference 25
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Observation 88ebf3e8-b178-4684-b17b-e03373ef44de · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Towards Deep Learning Models Resistant to Adversarial Attacks,
Reference 26
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Observation 4e784a7e-a083-4458-9281-3654b84f2074 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Amphion: An Open-Source Audio, Music and Speech Generation Toolkit
Reference 27
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Observation 8623222a-d6e0-4eec-9ba4-f132b042c462 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generation
Reference 28
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Observation 62a1e95b-9856-4c1d-859f-0680d0652ae3 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Wave-U-Net: A Multi-scale Neural Network for End-to-end Audio Source Separation,
Reference 29
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Observation b91816a4-e03c-4163-b4da-44ab02388d55 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Deep One-class Classification,
Reference 30
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Observation 55342029-c786-4b4c-b6b0-1f448dd92ae4 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Wav2vec 2.0: A Framework for Self-supervised Learning of Speech Representations,
Reference 31
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Observation ad1cfe73-187e-42fc-afa4-635470ff9eb0 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Self-supervised Speech Representation Learning: A Review,
Reference 32
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Observation 39faff29-e06d-48b7-982f-5539422ffe57 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Libri-Light: A Benchmark for Asr with Limited Or No Supervision,
Reference 33
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Observation c9d58d29-73fe-4c9f-ab94-d69d6a9dd008 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses V oxCeleb2: Deep Speaker Recognition,
Reference 34
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Observation afc1c048-52e8-4e50-8da6-7d91fd894a13 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses A Kernel Method for the Two-sample-problem,
Reference 35
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Observation 26fdd8f8-da11-4814-9cb4-4ac9e148cd74 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in Tdnn Based Speaker Verification,
Reference 36
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Observation 4a26c303-dd65-4d05-b2ee-1c592f2b2940 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses X- Vectors: Robust Dnn Embeddings for Speaker Recognition,
Reference 37
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Observation fb51a6ca-a3ce-4df0-b8ea-1ee6bf370248 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses The Ins and Outs of Speaker Recognition: Lessons From V oxsrc 2020,
Reference 38
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Observation 46faf9b5-f2dc-412e-98a1-a1105033070d · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Pushing the Limits of Raw Waveform Speaker Recognition,
Reference 39
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Observation 64dafd7f-c3b2-49ee-a85d-3045947d8d7b · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses V oxCeleb: A Large-scale Speaker Identification Dataset,
Reference 40
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Observation 556a9932-7ba2-435c-9666-4109c68c4258 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses CSTR VCTK Corpus: English Multi-speaker Corpus for CSTR V oice Cloning Toolkit,
Reference 41
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Observation 15e9fc80-7cbc-440d-be9b-ca88224da344 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Parallel Wavegan: A Fast Waveform Generation Model Based on Generative Adversarial Networks with Multi-resolution Spectrogram,
Reference 42
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Observation 7ef4410e-c3f4-4567-94cb-570e9caae000 · outbound
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Visualizing Data Using T-SNE
Reference 43
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No inbound Pith citation observations are available.