Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey | Paper Citation Record

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This paper cites , Zhou , S.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Zhou , S

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This paper cites , Azzedin , F.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Azzedin , F

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This paper cites , Kantarcioglu , M.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Kantarcioglu , M

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This paper cites : Ensembles of pruned deep neural networks for accurate and privacy preservation in iot applications.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey : Ensembles of pruned deep neural networks for accurate and privacy preservation in iot applications

Reference 4

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This paper cites , Mahmood , K.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Mahmood , K

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This paper cites , Tao , G.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Tao , G

Reference 6

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This paper cites , Nasrabadi , N.M.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Nasrabadi , N.M

Reference 7

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This paper cites , Abrahamyan , L.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Abrahamyan , L

Reference 8

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This paper cites , Hayes , J.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Hayes , J

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This paper cites , Jia , R.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Jia , R

Reference 10

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This paper cites , Kahla , M.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Kahla , M

Reference 11

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This paper cites Text Embedding Inversion Security for Multilingual Language Models.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey Text Embedding Inversion Security for Multilingual Language Models

Reference 12

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This paper cites , Meerza , S.I.A.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Meerza , S.I.A

Reference 13

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This paper cites PriPrune: Quantifying and Preserving Privacy in Pruned Federated Learning.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey PriPrune: Quantifying and Preserving Privacy in Pruned Federated Learning

Reference 14

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This paper cites Image Inversion: A Survey from GANs to Diffusion and Beyond.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey Image Inversion: A Survey from GANs to Diffusion and Beyond

Reference 15

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This paper cites , Breuer , A.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Breuer , A

Reference 16

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This paper cites , Dong , W.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Dong , W

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This paper cites : Sok: Model inversion attack landscape: Taxonomy, challenges, and future roadmap.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey : Sok: Model inversion attack landscape: Taxonomy, challenges, and future roadmap

Reference 18

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This paper cites Stealing Training Data from Large Language Models in Decentralized Training through Activation Inversion Attack.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey Stealing Training Data from Large Language Models in Decentralized Training through Activation Inversion Attack

Reference 19

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This paper cites , Nguyen , T.P.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Nguyen , T.P

Reference 20

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This paper cites : The Concise Encyclopedia of Statistics.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey : The Concise Encyclopedia of Statistics

Reference 21

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This paper cites , Zhang , L.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Zhang , L

Reference 22

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This paper cites Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning

Reference 23

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Observation 837beaf5-6042-4a89-8bd9-000e6aba6eb1 · outbound

This paper cites , Chen , B.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Chen , B

Reference 24

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Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Jha , S

Reference 25

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This paper cites , Liu , Y.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Liu , Y

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This paper cites , Lantz , E.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Lantz , E

Reference 27

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This paper cites , Papaspyridis , K.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Papaspyridis , K

Reference 28

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This paper cites Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses

Reference 29

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Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Bauermeister , H

Reference 30

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This paper cites Reducing Risk of Model Inversion Using Privacy-Guided Training.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey Reducing Risk of Model Inversion Using Privacy-Guided Training

Reference 31

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This paper cites , Guo , S.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Guo , S

Reference 32

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Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Jiang , L

Reference 33

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Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Karakolios , K

Reference 34

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Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey : Deep learning

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Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey A New Federated Learning Framework Against Gradient Inversion Attacks

Reference 36

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This paper cites , Zhang , X.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Zhang , X

Reference 37

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Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Zhu , T

Reference 38

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Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Choi , J

Reference 39

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Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Gupta , S

Reference 40

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Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Hao , K.J

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Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey Gradient Inversion of Federated Diffusion Models

Reference 42

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Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Mattar , M

Reference 43

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Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Meng , G

Reference 44

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Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Ramsauer , H

Reference 45

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This paper cites : Models as personal data.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey : Models as personal data

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Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Wang , S

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This paper cites Adaptive Hybrid Masking Strategy for Privacy-Preserving Face Recognition Against Model Inversion Attack.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey Adaptive Hybrid Masking Strategy for Privacy-Preserving Face Recognition Against Model Inversion Attack

Reference 48

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Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Yin , H

Reference 49

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Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Moustafa , N

Reference 50

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Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey Rethinking Model Inversion Attacks With Patch-Wise Reconstruction

Reference 51

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Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Wang , S

Reference 52

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Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey A Style-Based Generator Architecture for Generative Adversarial Networks

Reference 53

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This paper cites , Chen , S.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Chen , S

Reference 54

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Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Finke , D

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Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Hinton , G

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Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Nair , V

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Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Nakamura , K

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Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Nakamura , K

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Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Ziller , A

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Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey Privacy in Large Language Models: Attacks, Defenses and Future Directions

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This paper cites , Dong , L.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Dong , L

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Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey : The mnist database of handwritten digits

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This paper cites , Han , S.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Han , S

Reference 64

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Observation 1e62e8cc-dc77-43b8-9bea-d715d926131c · outbound

This paper cites Model Inversion Attacks Through Target-Specific Conditional Diffusion Models.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey Model Inversion Attacks Through Target-Specific Conditional Diffusion Models

Reference 65

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Observation 19cd5e3e-4a4b-4ac5-beb9-81eecb1d5e43 · outbound

This paper cites , Li , B.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Li , B

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-09T21:58:40.809281Z

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Observation 4ccfa74a-9b2a-4378-9b82-63bb3d5f4040 · outbound

This paper cites , Luo , P.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Luo , P

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-09T21:58:40.812582Z

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Observation 6e792d62-5f43-4bb1-9e11-23f57015fa94 · outbound

This paper cites , Li , Y.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Li , Y

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-09T21:58:40.815988Z

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Observation 01eacd4b-cd4a-430e-bb0d-fe12317b0213 · outbound

This paper cites , Rakin , A.S.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Rakin , A.S

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-09T21:58:40.819644Z

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Observation 040fd639-8785-4f65-b5d3-459c2a0c3760 · outbound

This paper cites , Shen , Y.-C.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Shen , Y.-C

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-09T21:58:40.822987Z

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Observation 6a674dec-5524-475b-92f5-af47466874ff · outbound

This paper cites Data Reconstruction Attacks and Defenses: A Systematic Evaluation.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey Data Reconstruction Attacks and Defenses: A Systematic Evaluation

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-09T21:58:40.826254Z

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Observation 3cc22178-16e3-4fd4-a7a6-2df9faa372ea · outbound

This paper cites , Wang , D.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Wang , D

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-09T21:58:40.829746Z

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Observation 137429e5-ae9d-4fac-ac6a-2e397f649303 · outbound

This paper cites , Xue , L.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Xue , L

Reference 73

Resolution: verified exact; raw_fallback, observed 2026-08-09T21:58:45.770953Z

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 0dd39621-1bb2-4b65-8098-3c8cee47de98 · outbound

This paper cites , Yu , P.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Yu , P

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-09T21:58:40.836600Z

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Observation 0362071c-0ba6-4bb0-ac3d-2e62df5fd8b1 · outbound

This paper cites , Yao , H.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Yao , H

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-09T21:58:40.839747Z

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Observation 6a8d057e-c658-4706-a73e-a06d00d5b75c · outbound

This paper cites , Zhu , C.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Zhu , C

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-09T21:58:40.843180Z

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Observation 5dddc701-f2ce-48ad-9b86-b069850df51e · outbound

This paper cites , Zhang , J.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Zhang , J

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-09T21:58:40.846698Z

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Observation f0b1feb8-dc37-4c32-aabc-5d36c4bfb0a3 · outbound

This paper cites , Abolhasan , M.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Abolhasan , M

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-09T21:58:40.850818Z

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Observation 33339a5d-41da-4a9f-a4ea-0cc2833e0b96 · outbound

This paper cites , Cortez , P.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Cortez , P

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-09T21:58:40.853847Z

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Observation 4b11fa72-b167-49b1-9577-24b7416aff9f · outbound

This paper cites : Threat models to machine unlearning (2024) botherref.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey : Threat models to machine unlearning (2024) botherref

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-09T21:58:40.878081Z

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Observation 03dde2e0-0973-4347-8adf-2d4947a5d89f · outbound

This paper cites Generative Model-Based Attack on Learnable Image Encryption for Privacy-Preserving Deep Learning.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey Generative Model-Based Attack on Learnable Image Encryption for Privacy-Preserving Deep Learning

Reference 81

Resolution: verified exact; local_arxiv, observed 2026-08-09T21:58:43.397997Z

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 dc611237-a89d-46ee-854a-267dbcf495bf · outbound

This paper cites , Kita , K.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Kita , K

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-09T21:58:40.938841Z

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Observation d5c4e5f7-fd9a-4155-9af8-32ca161c1026 · outbound

This paper cites , Song , C.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Song , C

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-09T21:58:40.979527Z

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Observation fc0b23c5-d4b1-4b26-81ef-9de67f15a89b · outbound

This paper cites , Tanaka , M.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Tanaka , M

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-09T21:58:41.011032Z

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Observation 593ea95e-1760-4840-b3fd-3f06abdebb2a · outbound

This paper cites Language Model Inversion.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey Language Model Inversion

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-09T21:58:41.076034Z

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Observation 6c568b13-09fa-476b-b71b-3d1ff365a5f4 · outbound

This paper cites , Chandrasegaran , K.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Chandrasegaran , K

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-09T21:58:41.111246Z

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Observation 1d8432e8-7a57-4d44-a7e6-d02d39410ecd · outbound

This paper cites , Chandrasegaran , K.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Chandrasegaran , K

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-09T21:58:41.114840Z

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Observation ef837490-c5b0-489e-8900-c6e63ca0850e · outbound

This paper cites : Enhancing data privacy in artificial intelligence (2024) botherref.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey : Enhancing data privacy in artificial intelligence (2024) botherref

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-09T21:58:41.118011Z

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Observation 97384668-27ea-4c73-856f-0ac7ff71a16a · outbound

This paper cites , Wang , T.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Wang , T

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-09T21:58:41.121510Z

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Observation e75ccb17-b5ac-45fc-8db9-ffb9ba471ae7 · outbound

This paper cites , Wang , X.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Wang , X

Reference 90

Resolution: verified exact; raw_fallback, observed 2026-08-09T21:58:45.446247Z

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 758870dd-93f3-49dc-8c27-28fec264cc84 · outbound

This paper cites , Yang , W.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Yang , W

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-09T21:58:41.128284Z

Source-reported events for the cited work

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Observation 1e5f6d45-8902-46a5-9b0b-78f280034a95 · outbound

This paper cites , Zhang , B.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Zhang , B

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-09T21:58:41.131663Z

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Observation cf7d0040-e895-4081-8131-aba3a9534224 · outbound

This paper cites , Dey , E.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Dey , E

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-09T21:58:41.134876Z

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Observation 9cc709ad-da04-4075-a069-3ee7230ddbfc · outbound

This paper cites Introducing Model Inversion Attacks on Automatic Speaker Recognition.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey Introducing Model Inversion Attacks on Automatic Speaker Recognition

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-09T21:58:41.138416Z

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Observation 428ef543-9180-4a45-8cf8-0a77c677f653 · outbound

This paper cites , Chen , Y.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Chen , Y

Reference 95

Resolution: verified exact; raw_fallback, observed 2026-08-09T21:58:45.330362Z

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 1749e37d-026a-412d-8967-09705869596d · outbound

This paper cites DAGER: Exact Gradient Inversion for Large Language Models.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey DAGER: Exact Gradient Inversion for Large Language Models

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-09T21:58:41.146160Z

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Observation 48a83746-8abc-48e9-8915-3ed0dd07e7fd · outbound

This paper cites , Ding , J.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Ding , J

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-09T21:58:41.150092Z

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Observation f629bb3a-52ea-4c45-8f6a-cea03a9b80a0 · outbound

This paper cites , Li , Y.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Li , Y

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-09T21:58:41.153228Z

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Observation cca2dd3d-35ac-4365-bc41-ea73faf91366 · outbound

This paper cites , Liu , F.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Liu , F

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-09T21:58:41.156435Z

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Observation b9137788-0ffd-4658-9cc0-7d544392c3fb · outbound

This paper cites , Satsangi , Y.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey , Satsangi , Y

Reference 100

Resolution: verified exact; doi, observed 2026-08-09T21:58:43.374620Z

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

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