Sample Correlation for Fingerprinting Deep Face Recognition | Paper Citation Record

Observation 578aba0c-5e0d-49a3-a7df-8535956be6ee · outbound

This paper cites Deepfacerecognition: A survey.

Sample Correlation for Fingerprinting Deep Face Recognition Deepfacerecognition: A survey

Reference 1

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Observation bf31b087-2975-4b31-a694-2324a9d6991f · outbound

This paper cites Entangled watermarks as a defense against model extraction.

Sample Correlation for Fingerprinting Deep Face Recognition Entangled watermarks as a defense against model extraction

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.911156Z

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Observation a6927a0f-2d82-4b24-b7b5-d21eca3fe5b2 · outbound

This paper cites Sensitive-sample fingerprinting of deep neural net- works.

Sample Correlation for Fingerprinting Deep Face Recognition Sensitive-sample fingerprinting of deep neural net- works

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.898919Z

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Observation 6dbbae55-9805-4a75-8ef0-67ae03f8fe11 · outbound

This paper cites Deep neural network fingerprinting by conferrable adversarial examples.

Sample Correlation for Fingerprinting Deep Face Recognition Deep neural network fingerprinting by conferrable adversarial examples

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.886307Z

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Observation 1c194844-9baf-49b7-ad06-1a3c678b5ff7 · outbound

This paper cites Fine-pruning: Defending against backdooring attacks on deep neural networks.

Sample Correlation for Fingerprinting Deep Face Recognition Fine-pruning: Defending against backdooring attacks on deep neural networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.873995Z

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Observation 07985b72-9eb2-4cc8-a549-c92d1021ef17 · outbound

This paper cites Importance estimation for neural network pruning.

Sample Correlation for Fingerprinting Deep Face Recognition Importance estimation for neural network pruning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T23:18:17.932832Z

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Observation 618978e9-b37b-4ed0-a5d5-6df887b3eff1 · outbound

This paper cites Adversarial training for free! In Proc.

Sample Correlation for Fingerprinting Deep Face Recognition Adversarial training for free! In Proc

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.853875Z

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Observation 45c0c5e6-4c2e-45dd-b538-36d14e94f176 · outbound

This paper cites Evaluation-oriented knowledge dis- tillation for deep face recognition.

Sample Correlation for Fingerprinting Deep Face Recognition Evaluation-oriented knowledge dis- tillation for deep face recognition

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.842355Z

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Observation 2e7b8913-d680-4b99-9e4e-49848063704f · outbound

This paper cites High accuracy and high fidelity extraction of neural net- works.

Sample Correlation for Fingerprinting Deep Face Recognition High accuracy and high fidelity extraction of neural net- works

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.829614Z

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Observation 68ac62c0-10c9-40ee-bbbc-dceee21eff97 · outbound

This paper cites Knockoff nets: Stealing functionality of black- box models.

Sample Correlation for Fingerprinting Deep Face Recognition Knockoff nets: Stealing functionality of black- box models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.817465Z

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Observation ecf15a67-4616-4cb5-b6f0-f25ab91258be · outbound

This paper cites The karolinska directed emotional faces: a validation study.Cognition and emotion, 22(6):1094–1118, 2008.

Sample Correlation for Fingerprinting Deep Face Recognition The karolinska directed emotional faces: a validation study.Cognition and emotion, 22(6):1094–1118, 2008

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.805770Z

Source-reported events for the cited work

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Observation be0aae8a-2d5c-490d-9242-a9190e0195a6 · outbound

This paper cites Embedding watermarks into deep neural networks.

Sample Correlation for Fingerprinting Deep Face Recognition Embedding watermarks into deep neural networks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.794333Z

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Observation e602435e-e4fc-4d2c-9bec-a57f10dc0b01 · outbound

This paper cites DeepMarks: A Digital Fingerprinting Framework for Deep Neural Networks.

Sample Correlation for Fingerprinting Deep Face Recognition DeepMarks: A Digital Fingerprinting Framework for Deep Neural Networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T23:18:17.965120Z

Source-reported events for the cited work

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Observation 7ce13101-849d-47df-ae0f-8b47c187c754 · outbound

This paper cites Re- thinking deep neural network ownership verification: Embedding passports to defeat ambiguity attacks.

Sample Correlation for Fingerprinting Deep Face Recognition Re- thinking deep neural network ownership verification: Embedding passports to defeat ambiguity attacks

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.782325Z

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Observation bd1691cb-8e55-457d-a078-e2a32a08e33f · outbound

This paper cites Passport-aware normalization for deep model protection.

Sample Correlation for Fingerprinting Deep Face Recognition Passport-aware normalization for deep model protection

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.771426Z

Source-reported events for the cited work

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Observation 3a02054b-f08a-4719-99bc-884dac3ab521 · outbound

This paper cites Turning your weakness into a strength: Watermarking deep neural networks by backdooring.

Sample Correlation for Fingerprinting Deep Face Recognition Turning your weakness into a strength: Watermarking deep neural networks by backdooring

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.759952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3e52912a-9583-4bfc-98bc-d58740c65369 · outbound

This paper cites Protecting intellectual property of deep neural networks with watermarking.

Sample Correlation for Fingerprinting Deep Face Recognition Protecting intellectual property of deep neural networks with watermarking

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.747186Z

Source-reported events for the cited work

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Observation 021b4b3b-4fa2-4e2b-a500-fb649c79e4a5 · outbound

This paper cites Deepip: Deep neural network intel- lectual property protection with passports.IEEE Transactions on Pattern Analysis and Machine In- telligence, 2021.

Sample Correlation for Fingerprinting Deep Face Recognition Deepip: Deep neural network intel- lectual property protection with passports.IEEE Transactions on Pattern Analysis and Machine In- telligence, 2021

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.734844Z

Source-reported events for the cited work

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Observation 30185c61-8fef-4e58-a07b-84335c9c0081 · outbound

This paper cites Anti-distillation backdoor attacks: Backdoors can really survive in knowledge distillation.

Sample Correlation for Fingerprinting Deep Face Recognition Anti-distillation backdoor attacks: Backdoors can really survive in knowledge distillation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.722100Z

Source-reported events for the cited work

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Observation 566b1812-18b1-4c11-80ff-d2658b623806 · outbound

This paper cites Ipguard: Protecting intellectual property of deep neural networks via fingerprinting the classification boundary.

Sample Correlation for Fingerprinting Deep Face Recognition Ipguard: Protecting intellectual property of deep neural networks via fingerprinting the classification boundary

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.710071Z

Source-reported events for the cited work

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Observation 7e60c2b8-0d4d-4895-93e5-bc8c739022db · outbound

This paper cites Modeldiff: testing-based dnn sim- ilarity comparison for model reuse detection.

Sample Correlation for Fingerprinting Deep Face Recognition Modeldiff: testing-based dnn sim- ilarity comparison for model reuse detection

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.698189Z

Source-reported events for the cited work

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Observation ebc25582-630c-437d-b12c-31b9bf10960a · outbound

This paper cites Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations.

Sample Correlation for Fingerprinting Deep Face Recognition Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T23:18:18.010434Z

Source-reported events for the cited work

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Observation f2a953a2-6aa5-4b4f-bf24-bf679897aaa3 · outbound

This paper cites Fingerprinting deep neural networks-a deepfool approach.

Sample Correlation for Fingerprinting Deep Face Recognition Fingerprinting deep neural networks-a deepfool approach

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.686182Z

Source-reported events for the cited work

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Observation bc273046-b412-49f9-9c86-3c536e79902b · outbound

This paper cites To- wards deep learning models resistant to adversarial attacks.

Sample Correlation for Fingerprinting Deep Face Recognition To- wards deep learning models resistant to adversarial attacks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.670660Z

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Observation 419376ab-cef4-427d-830f-94029c57480e · outbound

This paper cites A survey of transfer learning.Journal of Big data, 3(1):1–40, 2016.

Sample Correlation for Fingerprinting Deep Face Recognition A survey of transfer learning.Journal of Big data, 3(1):1–40, 2016

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.657785Z

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Observation b84a6e84-fa3a-48c3-9d7b-d9b9129ffd0b · outbound

This paper cites Are you stealing my model? sample correlation for finger- printing deep neural networks.

Sample Correlation for Fingerprinting Deep Face Recognition Are you stealing my model? sample correlation for finger- printing deep neural networks

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.645337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0f33025f-7e1e-411f-8a4e-97005990d1f5 · outbound

This paper cites Benchmark- ing neural network robustness to common corrup- tions and perturbations.

Sample Correlation for Fingerprinting Deep Face Recognition Benchmark- ing neural network robustness to common corrup- tions and perturbations

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.629282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 64f760a4-5df6-4d15-9618-ab1d6f18224f · outbound

This paper cites Deepface: Closing the gap to human-level performance in face verification.

Sample Correlation for Fingerprinting Deep Face Recognition Deepface: Closing the gap to human-level performance in face verification

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.616027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 96168b36-5c40-4e0e-a5ba-080eb2cc9977 · outbound

This paper cites Convolutional neural networks for medical image analysis: Full training or fine tuning?IEEE Transactions on Medical Imaging, 35(5):1299–1312, 2016.

Sample Correlation for Fingerprinting Deep Face Recognition Convolutional neural networks for medical image analysis: Full training or fine tuning?IEEE Transactions on Medical Imaging, 35(5):1299–1312, 2016

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.604017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0487304a-d0f0-4e4f-976f-3e0a0ca96441 · outbound

This paper cites Few-shot backdoor defense using shapley esti- mation.

Sample Correlation for Fingerprinting Deep Face Recognition Few-shot backdoor defense using shapley esti- mation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.590996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0caa2738-e506-4321-a196-0649acabf757 · outbound

This paper cites Defending against model stealing via verifying embedded external fea- tures.

Sample Correlation for Fingerprinting Deep Face Recognition Defending against model stealing via verifying embedded external fea- tures

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.577000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 00526310-fd8e-4409-9451-1b545e96d7de · outbound

This paper cites Deepfool: a simple and accu- rate method to fool deep neural networks.

Sample Correlation for Fingerprinting Deep Face Recognition Deepfool: a simple and accu- rate method to fool deep neural networks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.562435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9748d7a7-eb78-478f-9b65-14ced1a0bbfd · outbound

This paper cites Universal adver- sarial perturbations.

Sample Correlation for Fingerprinting Deep Face Recognition Universal adver- sarial perturbations

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.548124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6bf14895-bca4-4dc1-82ec-cf8b940de902 · outbound

This paper cites Copy, right? a testing framework for copyright protection of deep learning models.

Sample Correlation for Fingerprinting Deep Face Recognition Copy, right? a testing framework for copyright protection of deep learning models

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.536030Z

Source-reported events for the cited work

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Observation c9138acd-2572-43ab-9627-676f26ebbe59 · outbound

This paper cites Cloudleak: Large-scale deep learning models stealing through adversarial examples.

Sample Correlation for Fingerprinting Deep Face Recognition Cloudleak: Large-scale deep learning models stealing through adversarial examples

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.524322Z

Source-reported events for the cited work

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Observation f0283d65-50e3-4283-9864-332fa32a0459 · outbound

This paper cites Surpassing human- level face verification performance on lfw with gaus- sianface.

Sample Correlation for Fingerprinting Deep Face Recognition Surpassing human- level face verification performance on lfw with gaus- sianface

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.508909Z

Source-reported events for the cited work

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Observation bf1e6b80-9f8b-429e-9dc5-597d79b28ddf · outbound

This paper cites Discriminant analysis in correlation simi- larity measure space.

Sample Correlation for Fingerprinting Deep Face Recognition Discriminant analysis in correlation simi- larity measure space

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.496207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5db18b2a-5c4a-46a9-93a3-f6d7a71d2732 · outbound

This paper cites Correlation congruence for knowledge distillation.

Sample Correlation for Fingerprinting Deep Face Recognition Correlation congruence for knowledge distillation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.484370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5088bbbc-3f79-4eea-95fa-0f58efaf3396 · outbound

This paper cites Cosine similarity metric learning for face verification.

Sample Correlation for Fingerprinting Deep Face Recognition Cosine similarity metric learning for face verification

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.471715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d4087ec2-4470-452e-9813-4bb3101825bb · outbound

This paper cites An explicit description of the reproducing kernel hilbert spaces of gaussian rbf kernels.IEEE Transactions on Information Theory , 52(10):4635–4643, 2006.

Sample Correlation for Fingerprinting Deep Face Recognition An explicit description of the reproducing kernel hilbert spaces of gaussian rbf kernels.IEEE Transactions on Information Theory , 52(10):4635–4643, 2006

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.460533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8f590a63-8555-467a-9ac6-ae3158257df9 · outbound

This paper cites Scale invariance and noise in natural images.

Sample Correlation for Fingerprinting Deep Face Recognition Scale invariance and noise in natural images

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.448782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8a410dc3-5fd6-4121-9aaf-a720bbf9cbd1 · outbound

This paper cites On detecting adversarial per- turbations.

Sample Correlation for Fingerprinting Deep Face Recognition On detecting adversarial per- turbations

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.436973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7a78bd04-7ff6-4c17-829e-7f0140482777 · outbound

This paper cites Recent Advances in Adversarial Training for Adversarial Robustness.

Sample Correlation for Fingerprinting Deep Face Recognition Recent Advances in Adversarial Training for Adversarial Robustness

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T23:18:18.109226Z

Source-reported events for the cited work

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Observation 507e883c-e754-4a72-9fd9-123e243a20fb · outbound

This paper cites Adversarial machine learning at scale.

Sample Correlation for Fingerprinting Deep Face Recognition Adversarial machine learning at scale

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.424861Z

Source-reported events for the cited work

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Observation 682eb422-1b7e-415e-8933-a59172d9bf46 · outbound

This paper cites Data-free model ex- traction.

Sample Correlation for Fingerprinting Deep Face Recognition Data-free model ex- traction

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.412812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d6109706-a56b-4dbf-81fa-45c3d40c150e · outbound

This paper cites Knowledge distillation: A survey.

Sample Correlation for Fingerprinting Deep Face Recognition Knowledge distillation: A survey

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.399216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6dac09a9-2f5a-4a3f-9e15-073a91e13dcf · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Sample Correlation for Fingerprinting Deep Face Recognition Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T23:18:18.127980Z

Source-reported events for the cited work

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Observation 288a023d-9e93-43da-a9f5-77fb761ca346 · outbound

This paper cites Deep residual learning for image recogni- tion.

Sample Correlation for Fingerprinting Deep Face Recognition Deep residual learning for image recogni- tion

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.386530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d74b88a4-0f88-4f6b-8ed2-5106ba64748e · outbound

This paper cites Densely connected convo- lutional networks.

Sample Correlation for Fingerprinting Deep Face Recognition Densely connected convo- lutional networks

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.372343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1fb37ca8-6eae-465d-9f6d-5cbead838a6b · outbound

This paper cites Mo- bilenetv2: Inverted residuals and linear bottlenecks.

Sample Correlation for Fingerprinting Deep Face Recognition Mo- bilenetv2: Inverted residuals and linear bottlenecks

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.358090Z

Source-reported events for the cited work

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Observation 5493ffd0-0051-4ed1-967f-02bef9022f81 · outbound

This paper cites Generating adversarial examples by makeup attacks on face recognition.

Sample Correlation for Fingerprinting Deep Face Recognition Generating adversarial examples by makeup attacks on face recognition

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.345109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ce16d307-84f2-464e-81f2-2d1d3a8a81d8 · outbound

This paper cites BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain.

Sample Correlation for Fingerprinting Deep Face Recognition BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-10T23:18:18.151496Z

Source-reported events for the cited work

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Observation ccc94a78-63a3-4765-a5fa-06e0eed1766b · outbound

This paper cites Ms-celeb-1m: A dataset and benchmark for large-scale face recognition.

Sample Correlation for Fingerprinting Deep Face Recognition Ms-celeb-1m: A dataset and benchmark for large-scale face recognition

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.332013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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This paper cites Learning Face Representation from Scratch.

Sample Correlation for Fingerprinting Deep Face Recognition Learning Face Representation from Scratch

Reference 54

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This paper cites Arcface: Additive angular margin loss for 16 Jiyang Guan1,2 et al.

Sample Correlation for Fingerprinting Deep Face Recognition Arcface: Additive angular margin loss for 16 Jiyang Guan1,2 et al

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.318676Z

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This paper cites Tiny imagenet visual recog- nition challenge.

Sample Correlation for Fingerprinting Deep Face Recognition Tiny imagenet visual recog- nition challenge

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.306111Z

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Observation 5dec9c38-df45-429e-9f07-02e05053df55 · outbound

This paper cites Learning multiple layers of features from tiny images.

Sample Correlation for Fingerprinting Deep Face Recognition Learning multiple layers of features from tiny images

Reference 57

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This paper cites The relationship between precision-recall and roc curves.

Sample Correlation for Fingerprinting Deep Face Recognition The relationship between precision-recall and roc curves

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:18.284490Z

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