Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T16:17:30.405023Z
Paper Citation Record · LEDGER
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study
As of 20 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 4 inbound Pith citation observations for arXiv:2509.07132.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T00:40:45.701836Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T03:47:35.558533Z
Reference resolution
46 of 46 outbound references displayed
- verified exact2
- verified fuzzy22
- unresolved21
- parse uncertain1
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 8024bccf-380a-4723-9661-26a858318f3d · outbound
This paper cites Enhancing security in multimodal biometric fusion: Analyzing adversarial attacks.IEEE Access, 2024.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Enhancing security in multimodal biometric fusion: Analyzing adversarial attacks.IEEE Access, 2024
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:17:31.086400Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b967c57b-6f15-4962-ba8a-f1eb04593d0a · outbound
This paper cites Towards evaluating the robustness of neural net- works.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Towards evaluating the robustness of neural net- works
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:17:30.234807Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b51af55a-402a-4a28-99d6-4db2b6233c4d · outbound
This paper cites Pitch-shifted speech detec- tion using audio ssl model.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Pitch-shifted speech detec- tion using audio ssl model
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:17:31.067361Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0053bd4c-a83a-46f2-a6e7-e51edb0d44f4 · outbound
This paper cites On the detection of digital face manipulation.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study On the detection of digital face manipulation
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:17:31.055611Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 961ce585-c574-4c69-9b02-68fd57b881ab · outbound
This paper cites Transferable adversarial attacks on audio deepfake detection.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Transferable adversarial attacks on audio deepfake detection
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:17:31.043953Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9ff312ee-ce55-4a84-b392-caae25065c7b · outbound
This paper cites WaveFake: A Data Set to Facilitate Audio Deepfake Detection.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study WaveFake: A Data Set to Facilitate Audio Deepfake Detection
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:17:30.250158Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 028bc1ef-8a65-465f-a890-68a66a49c6aa · outbound
This paper cites Explaining and Harnessing Adversarial Examples.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Explaining and Harnessing Adversarial Examples
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:17:30.254602Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f26545f2-7aaf-44b7-b2ce-564cf36451fb · outbound
This paper cites Quantization effects on audio signals for detecting intruders in wild areas using tespar s-matrix and artificial neural networks.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Quantization effects on audio signals for detecting intruders in wild areas using tespar s-matrix and artificial neural networks
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:17:31.030635Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 707bf200-6b54-42f2-89d6-1fb6cc52ed31 · outbound
This paper cites Towards end-to-end synthetic speech detection.IEEE Signal Processing Letters, 28:1265–1269, 2021.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Towards end-to-end synthetic speech detection.IEEE Signal Processing Letters, 28:1265–1269, 2021
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:17:31.017516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 78dda3f4-6d9d-4dcc-aafa-d58c9a65f120 · outbound
This paper cites Pushing the limits of raw waveform speaker recognition.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Pushing the limits of raw waveform speaker recognition
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:17:30.266791Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0bf89dac-5965-46b0-bb6f-79dc9fbebb1a · outbound
This paper cites Defense Against Adversarial Attacks on Audio DeepFake Detection.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Defense Against Adversarial Attacks on Audio DeepFake Detection
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:17:30.275365Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b8b0e71-660b-4c39-8424-48e100bcf0b6 · outbound
This paper cites Spotnet: A spoofing-aware transformer network for effective synthetic speech detection.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Spotnet: A spoofing-aware transformer network for effective synthetic speech detection
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:17:30.279038Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9358bf5d-e593-470f-8b15-fd727f31bca6 · outbound
This paper cites Securing voice biometrics: One-shot learn- ing approach for audio deepfake detection.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Securing voice biometrics: One-shot learn- ing approach for audio deepfake detection
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:17:30.283097Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a78a815-c20b-48c9-9baa-bd5896b1740f · outbound
This paper cites Battling voice spoofing: a review, comparative analysis, and generalizability evaluation of state- of-the-art voice spoofing counter measures.Artif.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Battling voice spoofing: a review, comparative analysis, and generalizability evaluation of state- of-the-art voice spoofing counter measures.Artif
Reference 15
- Resolution
- verified exact
- doi, observed 2026-08-15T16:17:30.441016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 33ba26a4-5bef-479b-8c07-efd59626eb3f · outbound
This paper cites Parallel Stacked Aggregated Network for Voice Authentication in IoT-Enabled Smart Devices.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Parallel Stacked Aggregated Network for Voice Authentication in IoT-Enabled Smart Devices
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T16:17:30.600208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3e105c29-3aef-4e4d-aa85-7b974cce79c9 · outbound
This paper cites Frame-to-utterance conver- gence: A spectra-temporal approach for unified spoofing detection.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Frame-to-utterance conver- gence: A spectra-temporal approach for unified spoofing detection
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:17:30.294123Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77280ae6-f346-4a67-92df-848177500ef1 · outbound
This paper cites Measuring the Robustness of Audio Deepfake Detection under Real-World Corruption.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Measuring the Robustness of Audio Deepfake Detection under Real-World Corruption
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:17:30.297394Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff6b4dbb-37e0-412c-a15f-09789b0ba2a8 · outbound
This paper cites Asvspoof 2021: Towards spoofed and deepfake speech detection in the wild.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Asvspoof 2021: Towards spoofed and deepfake speech detection in the wild
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:17:31.006271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d7557009-b3c8-49a0-9e64-34325ef72705 · outbound
This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Towards Deep Learning Models Resistant to Adversarial Attacks
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:17:30.306036Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b850c2cf-fa07-4a10-95f3-441cddb62311 · outbound
This paper cites Deepfool: a simple and accurate method to fool deep neural networks.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Deepfool: a simple and accurate method to fool deep neural networks
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:17:30.994975Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d73ad70e-e209-4193-8b5f-6a5e5f093aa9 · outbound
This paper cites De- velopment and assessment of internet of things-driven smart home security and automa- tion with voice commands.IoT, 5(1):79–99, 2024.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study De- velopment and assessment of internet of things-driven smart home security and automa- tion with voice commands.IoT, 5(1):79–99, 2024
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:17:30.983137Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3469295c-7c94-425c-a837-f3fca3e67bcc · outbound
This paper cites Core: Consistent representation learning for face forgery detection.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Core: Consistent representation learning for face forgery detection
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:17:30.316693Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93e7e274-5ef0-4932-8ab1-7b3163f4fa60 · outbound
This paper cites A comprehensive risk analysis method for adversarial attacks on biometric authentica- tion systems.IEEE Access, 2024.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study A comprehensive risk analysis method for adversarial attacks on biometric authentica- tion systems.IEEE Access, 2024
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:17:30.963583Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation afd24ce9-4971-46d9-92ee-171c2a88a9fd · outbound
This paper cites 2025 voice intelligence & security report.https://www.pindrop.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study 2025 voice intelligence & security report.https://www.pindrop
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:17:30.952010Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f723daea-670d-4fb8-85d1-e01369463f39 · outbound
This paper cites an unresolved cited work.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T16:17:30.927278Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ec36cb74-f510-4bad-8fd5-50ead7e655f5 · outbound
This paper cites Thinking in fre- quency: Face forgery detection by mining frequency-aware clues.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Thinking in fre- quency: Face forgery detection by mining frequency-aware clues
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:17:30.333648Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f482dbee-c9c7-4074-8c13-def45a553acc · outbound
This paper cites Audio-deepfake detection: Ad- versarial attacks and countermeasures.Expert Systems with Applications, 250:123941, 2024.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Audio-deepfake detection: Ad- versarial attacks and countermeasures.Expert Systems with Applications, 250:123941, 2024
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:17:30.908965Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 42491a4a-3433-4360-bead-978488808e22 · outbound
This paper cites End-to-end anti-spoofing with rawnet2.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study End-to-end anti-spoofing with rawnet2
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:17:30.897520Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 148e2207-9101-4e49-87af-6b1aee227b6f · outbound
This paper cites Rawboost: A raw data boosting and augmentation method applied to automatic speaker verification anti-spoofing.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Rawboost: A raw data boosting and augmentation method applied to automatic speaker verification anti-spoofing
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:17:30.885618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f568bb3c-59fc-4491-a33f-109fba3db962 · outbound
This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Efficientnet: Rethinking model scaling for convolutional neural networks
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:17:30.347447Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48ffd874-277e-4e63-a7ad-6c346a8adcaf · outbound
This paper cites ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:17:30.351052Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3908b0c-6812-4553-be02-9903c0073670 · outbound
This paper cites Enhanced adversarial attack for avoidance of fake image detection.Journal of Broadcast Engineering, 28(7):859–866.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Enhanced adversarial attack for avoidance of fake image detection.Journal of Broadcast Engineering, 28(7):859–866
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:17:30.865256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c528642b-d08c-4317-b3eb-5c10bf50f336 · outbound
This paper cites Anti-forensic against double jpeg compression detection using adversarial generative network.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Anti-forensic against double jpeg compression detection using adversarial generative network
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:17:30.852898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9d1b03ff-d0fd-4dfe-9089-d7da4afc5215 · outbound
This paper cites A robust open- set multi-instance learning for defending adversarial attacks in digital image.IEEE Transactions on Information F orensics and Security, 19:2098–2111, 2023.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study A robust open- set multi-instance learning for defending adversarial attacks in digital image.IEEE Transactions on Information F orensics and Security, 19:2098–2111, 2023
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:17:30.840354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1e26f786-62f2-43f3-bd7f-1d51512ffd74 · outbound
This paper cites Deep learning-based counter anti- forensic of gan-based attack in hevc compressed domain using coding pattern analysis.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Deep learning-based counter anti- forensic of gan-based attack in hevc compressed domain using coding pattern analysis
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:17:30.366667Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06d65815-1a74-4cc1-bdb8-e44efb54245f · outbound
This paper cites Counter-act against gan-based attacks: A collaborative learning approach for anti-forensic detection.Applied Soft Computing, 153:111287, 2024.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Counter-act against gan-based attacks: A collaborative learning approach for anti-forensic detection.Applied Soft Computing, 153:111287, 2024
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:17:30.371238Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6047a931-51d4-43c1-b88a-e1396930bf8c · outbound
This paper cites SHIELD: A Secure and Highly Enhanced Integrated Learning for Robust Deepfake Detection against Adversarial Attacks.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study SHIELD: A Secure and Highly Enhanced Integrated Learning for Robust Deepfake Detection against Adversarial Attacks
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:17:30.374843Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce972bab-455e-4241-9809-5e3f2261350f · outbound
This paper cites CSI-Net: Unified Human Body Characterization and Pose Recognition.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study CSI-Net: Unified Human Body Characterization and Pose Recognition
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:17:30.378528Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f283e9e6-9c40-4132-b52f-1548c22c8488 · outbound
This paper cites ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:17:30.382439Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fbef6fdb-d6fb-4e28-aead-6ea5347f2638 · outbound
This paper cites Abc-capsnet: Attention based cascaded capsule network for audio deepfake detection.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Abc-capsnet: Attention based cascaded capsule network for audio deepfake detection
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:17:30.814816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3dce58bb-e572-47d9-add8-d2a8f7e078d0 · outbound
This paper cites Defense against adversarial attacks on spoofing countermeasures of asv.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Defense against adversarial attacks on spoofing countermeasures of asv
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:17:30.803485Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 270ca0c2-c0a5-4911-9dc1-972cdc8b2d25 · outbound
This paper cites CLAD: Robust Audio Deepfake Detection Against Manipulation Attacks with Contrastive Learning.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study CLAD: Robust Audio Deepfake Detection Against Manipulation Attacks with Contrastive Learning
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:17:30.394384Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c9c48f3-8adf-4281-8792-16802f4c91cb · outbound
This paper cites The codecfake dataset and counter- measures for the universally detection of deepfake audio.IEEE Transactions on Audio, Speech and Language Processing, 2025.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study The codecfake dataset and counter- measures for the universally detection of deepfake audio.IEEE Transactions on Audio, Speech and Language Processing, 2025
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:17:30.791737Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ad1b152d-da17-4eef-bfe0-d1bcaced7c0d · outbound
This paper cites Black-box attacks on spoofing countermeasures using transferability of adversarial examples.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Black-box attacks on spoofing countermeasures using transferability of adversarial examples
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:17:30.779987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f362a140-ed8c-4c1e-bf50-be4bf17710d6 · outbound
This paper cites A countermeasure based on cqt spectro- gram for deepfake speech detection.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study A countermeasure based on cqt spectro- gram for deepfake speech detection
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:17:30.768932Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4741e824-5332-4943-8a4d-952ad146a7aa · outbound
This paper cites an unresolved cited work.
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study Unresolved cited work
Reference 2023
- Resolution
- parse uncertain
- raw_fallback, observed 2026-08-15T16:17:30.939227Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
Observation 85f4ebb4-a4a9-4048-975b-a543d8dc3182 · inbound
Escaping the Linearity Trap: Manifold Detours for Black-Box Adversarial Attacks on Singing Audio Deepfake Detection cites this paper.
Escaping the Linearity Trap: Manifold Detours for Black-Box Adversarial Attacks on Singing Audio Deepfake Detection Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T19:05:01.101449Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation bc25f31a-5a2a-4f2f-9b78-72b4f27c354f · inbound
Dual-Branch Gated Fusion for Open-Set Audio Deepfake Source Tracing cites this paper.
Dual-Branch Gated Fusion for Open-Set Audio Deepfake Source Tracing Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T03:47:35.560048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 67de591a-0cf1-43fd-b651-c2851fbbae50 · inbound
Uncertainty-Aware Deepfake Detection via Multi-View Structural Learning cites this paper.
Uncertainty-Aware Deepfake Detection via Multi-View Structural Learning Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T00:29:26.420403Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d34a8136-0a69-4a5a-86cb-6250b0795885 · inbound
PE-Mamba: Bidirectional Selective Layer Aggregation for AI-Generated Image Detection cites this paper.
PE-Mamba: Bidirectional Selective Layer Aggregation for AI-Generated Image Detection Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T00:40:45.701836Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.