Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization | Paper Citation Record

Observation f8b4a2b3-191e-4fc7-81f0-b02e938aeaeb · outbound

This paper cites Deep residual learning for image recognition,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Deep residual learning for image recognition,

Reference 1

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Observation d7476c34-e153-4360-83e7-326a95f45a12 · outbound

This paper cites Session-aware information embedding for e- commerce product recommendation,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Session-aware information embedding for e- commerce product recommendation,

Reference 2

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Observation feb6d410-d8d5-4dc9-ad4a-36e46fa20686 · outbound

This paper cites Thwarting longitudinal location exposure attacks in advertising ecosystem via edge computing,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Thwarting longitudinal location exposure attacks in advertising ecosystem via edge computing,

Reference 3

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Observation af75161e-8f8f-45ab-91af-d275460d11b5 · outbound

This paper cites A hybrid approach to offloading mobile image classification,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization A hybrid approach to offloading mobile image classification,

Reference 4

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Observation ed8caa07-344b-4c2d-82d2-5ebd3d378fc1 · outbound

This paper cites Jointdnn: An efficient training and inference engine for intelligent mobile cloud computing services,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Jointdnn: An efficient training and inference engine for intelligent mobile cloud computing services,

Reference 5

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Observation 7cb0c19e-d742-4d6c-bfed-2e0b2c31054b · outbound

This paper cites Auto-split: A general framework of collaborative edge-cloud ai,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Auto-split: A general framework of collaborative edge-cloud ai,

Reference 6

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Observation 9767a732-db21-4e42-ab6a-28bedcd0b69f · outbound

This paper cites Neurosurgeon: Collaborative intelligence between the cloud and mobile edge,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Neurosurgeon: Collaborative intelligence between the cloud and mobile edge,

Reference 7

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Observation d27d2710-f170-4701-9240-8c7096f52c3f · outbound

This paper cites Split computing and early exiting for deep learning applications: Survey and research challenges,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Split computing and early exiting for deep learning applications: Survey and research challenges,

Reference 8

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Observation 653af9dd-17d5-43c9-bb62-c5dce8b06553 · outbound

This paper cites Two-phase split computing framework in edge–cloud continuum,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Two-phase split computing framework in edge–cloud continuum,

Reference 9

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Observation 43b2b80a-ecbe-4986-b775-6ea0e1b36d35 · outbound

This paper cites Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks

Reference 10

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Observation aeff3e65-e4c4-40f6-a747-56f47b667120 · outbound

This paper cites Ensuring bidirectional privacy on wireless split inference systems,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Ensuring bidirectional privacy on wireless split inference systems,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:01:37.544383Z

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Observation f68baac1-2a12-4241-8c0a-78b94cdb2bd3 · outbound

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

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses

Reference 12

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Observation d216f737-0cc5-4a9e-9db2-97e3f7a20f2e · outbound

This paper cites Mibench: A comprehensive benchmark for model inversion attack and defense,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Mibench: A comprehensive benchmark for model inversion attack and defense,

Reference 13

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Observation 9394d20a-9389-4544-9ef4-e42818fed8ec · outbound

This paper cites MIBench: A Comprehensive Framework for Benchmarking Model Inversion Attack and Defense.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization MIBench: A Comprehensive Framework for Benchmarking Model Inversion Attack and Defense

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:01:35.945171Z

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Observation 4bddbb8d-f3ad-4072-8b70-01826400b5c5 · outbound

This paper cites Gi-nas: Boosting gradient inversion attacks through adaptive neural architecture search,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Gi-nas: Boosting gradient inversion attacks through adaptive neural architecture search,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:01:37.464893Z

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Observation c9ce16d3-eb7b-46ca-afd3-9fc577fe74fc · outbound

This paper cites Editable-deepsc: cross-modal editable semantic communication systems,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Editable-deepsc: cross-modal editable semantic communication systems,

Reference 17

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Observation a24a0cba-d1ce-4cc9-b7b8-cbb3c7e843c6 · outbound

This paper cites Editable-deepsc: Reliable cross-modal semantic communications for facial editing,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Editable-deepsc: Reliable cross-modal semantic communications for facial editing,

Reference 18

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Observation 55b9e498-a96b-4abf-9b8c-cf79740123e2 · outbound

This paper cites One perturbation is enough: On generating universal adversarial per- turbations against vision-language pre-training models,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization One perturbation is enough: On generating universal adversarial per- turbations against vision-language pre-training models,

Reference 19

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Observation 048aa562-f5cd-48cc-b301-2d6cacc62a50 · outbound

This paper cites Model inversion attacks against collaborative inference,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Model inversion attacks against collaborative inference,

Reference 20

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Observation 2e4f7544-d063-45ff-8d7f-6f209fdbabd5 · outbound

This paper cites Disco: Dynamic and invariant sensitive channel obfuscation for deep neural networks,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Disco: Dynamic and invariant sensitive channel obfuscation for deep neural networks,

Reference 21

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Observation 7dc24581-5343-4aa6-a04d-f44730226428 · outbound

This paper cites Mea- suring data reconstruction defenses in collaborative inference systems,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Mea- suring data reconstruction defenses in collaborative inference systems,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:01:37.218723Z

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Observation 4347e5a5-fe8e-44ac-8bab-e176a95c967b · outbound

This paper cites Gan you see me? enhanced data reconstruction attacks against split inference,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Gan you see me? enhanced data reconstruction attacks against split inference,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:01:37.168482Z

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Observation a888addf-428a-4939-b21f-d1f481c714ca · outbound

This paper cites A stealthy wrongdoer: Feature-oriented reconstruction attack against split learning,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization A stealthy wrongdoer: Feature-oriented reconstruction attack against split learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:01:37.123620Z

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Observation bef27488-3a1b-4b1a-a352-c35c635ce5b3 · outbound

This paper cites Gradient-based learning applied to document recognition,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Gradient-based learning applied to document recognition,

Reference 25

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Observation 02f4ed0d-b60b-466c-ae6e-bd853be2c99c · outbound

This paper cites GAN Dissection: Visualizing and Understanding Generative Adversarial Networks.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization GAN Dissection: Visualizing and Understanding Generative Adversarial Networks

Reference 26

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Observation e633dd5a-c7d1-4fd3-b867-c846045be7b5 · outbound

This paper cites Interpreting the latent space of gans for semantic face editing,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Interpreting the latent space of gans for semantic face editing,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:01:37.025899Z

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Observation dac51208-7303-4e71-8a79-8823f3c5ad68 · outbound

This paper cites Pie: Portrait image embedding for semantic control,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Pie: Portrait image embedding for semantic control,

Reference 28

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Observation df863e81-d2f7-45f9-a8b9-2c371bd99a8a · outbound

This paper cites Intermediate Layer Optimization for Inverse Problems using Deep Generative Models.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

Reference 29

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Observation 3e43e53d-6b7e-47c7-8fbf-9f7e44a1e8ac · outbound

This paper cites Nonlinear total variation based noise removal algorithms,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Nonlinear total variation based noise removal algorithms,

Reference 30

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Observation 17eff451-7f60-4d13-a9e5-ec8ba26980a4 · outbound

This paper cites A hybrid deep learning architecture for privacy-preserving mobile analytics,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization A hybrid deep learning architecture for privacy-preserving mobile analytics,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:01:36.915396Z

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Observation 0ccabb30-5dd7-4028-9024-a393abbab131 · outbound

This paper cites Nopeek: Information leakage reduction to share activations in distributed deep learning,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Nopeek: Information leakage reduction to share activations in distributed deep learning,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:01:36.872151Z

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Observation fe0f121b-4c76-4a48-9d5f-15510df69bdd · outbound

This paper cites Generative adversarial nets,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Generative adversarial nets,

Reference 33

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Observation 395048f5-57c5-4f80-bb3c-5361615a164c · outbound

This paper cites Generative adversarial networks,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Generative adversarial networks,

Reference 34

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Observation 9340d7f4-d20f-4692-b59d-f8be37ed90c6 · outbound

This paper cites Wasserstein generative ad- versarial networks,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Wasserstein generative ad- versarial networks,

Reference 35

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Observation b4ff9e12-438a-41cb-837b-a0734d0e1c3e · outbound

This paper cites A style-based generator architecture for generative adversarial networks,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization A style-based generator architecture for generative adversarial networks,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:01:36.724934Z

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Observation 3b6cd530-f132-48ed-a7c8-cae9bab54692 · outbound

This paper cites Analyzing and improving the image quality of stylegan,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Analyzing and improving the image quality of stylegan,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:01:36.685553Z

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Observation 52d9bcab-79ca-478a-8936-455fa505d019 · outbound

This paper cites Alias-free generative adversarial networks,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Alias-free generative adversarial networks,

Reference 38

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Observation f11d0147-2c28-4184-9523-64b2721b957b · outbound

This paper cites Gifd: A generative gradient inversion method with feature domain optimization,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Gifd: A generative gradient inversion method with feature domain optimization,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:01:36.558212Z

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Observation a22f562d-3dad-4676-9ddf-f9027bc0ab79 · outbound

This paper cites A closer look at gan priors: Exploiting intermediate features for enhanced model inversion attacks,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization A closer look at gan priors: Exploiting intermediate features for enhanced model inversion attacks,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:01:36.507894Z

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Observation 93934707-2abe-42e9-94d2-77133b8335f1 · outbound

This paper cites Calor: Towards comprehensive model inversion defense,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Calor: Towards comprehensive model inversion defense,

Reference 41

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Observation 1641401f-d716-4b80-a612-af1a9e6de4da · outbound

This paper cites Clip- guided generative networks for transferable targeted adversarial attacks,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Clip- guided generative networks for transferable targeted adversarial attacks,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:01:36.439157Z

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Observation 5d519d90-2e09-4aaa-bff8-60934a58d4dd · outbound

This paper cites Stealthy shield defense: A conditional mutual information-based approach against black-box model inversion attacks,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Stealthy shield defense: A conditional mutual information-based approach against black-box model inversion attacks,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:01:36.401486Z

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Observation 6f4a6966-c9f0-4623-998a-f10d8aba55d0 · outbound

This paper cites Icas: Detecting training data from autoregressive image generative models,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Icas: Detecting training data from autoregressive image generative models,

Reference 44

Resolution: verified exact; raw_fallback, observed 2026-08-05T15:01:35.338756Z

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Observation 7e5a32d5-5cce-407b-a875-85d24d91c090 · outbound

This paper cites Image2stylegan: How to embed images into the stylegan latent space?.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Image2stylegan: How to embed images into the stylegan latent space?

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:01:36.353032Z

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Observation 5aef27ab-d6e0-491c-822d-7ea3e8bc72f1 · outbound

This paper cites Auto-encoding variational bayes,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Auto-encoding variational bayes,

Reference 46

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Observation 4084bd09-506b-413a-90a4-2fb66936febb · outbound

This paper cites The CMA Evolution Strategy: A Tutorial.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization The CMA Evolution Strategy: A Tutorial

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-05T15:01:34.930028Z

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Observation 22de94eb-4ffb-4d6f-9657-bc1aa6c80c7d · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Learning transferable visual models from natural language supervision,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:01:36.294539Z

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Observation 6a1369a9-6e99-415b-a75f-8d1f17bae24d · outbound

This paper cites Stylegan-xl: Scaling stylegan to large diverse datasets,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Stylegan-xl: Scaling stylegan to large diverse datasets,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:01:36.252679Z

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Observation 31bcaef9-5d25-4305-bc4f-dd67a6a32b9c · outbound

This paper cites Deep learning face attributes in the wild,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Deep learning face attributes in the wild,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:01:36.201165Z

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Observation c883b06f-f256-44ab-a63b-0624c9711f4e · outbound

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

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Learning multiple layers of features from tiny images,

Reference 51

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Observation 885bfe30-5444-4dab-8a73-f00b981d1f73 · outbound

This paper cites CINIC-10 is not ImageNet or CIFAR-10.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization CINIC-10 is not ImageNet or CIFAR-10

Reference 52

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Observation 7cd24111-58f3-4ee0-98ec-5dfdeefdf199 · outbound

This paper cites Practical Defences Against Model Inversion Attacks for Split Neural Networks.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Practical Defences Against Model Inversion Attacks for Split Neural Networks

Reference 53

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Observation 293a016d-57c1-4bfd-9c1b-539ecfd053a8 · outbound

This paper cites Image quality metrics: Psnr vs. ssim,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Image quality metrics: Psnr vs. ssim,

Reference 54

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Observation 7ff32bfe-f0bf-49f1-acde-a7a221a8fed7 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Image quality assessment: from error visibility to structural similarity,

Reference 55

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Observation 342e2ef7-2af6-4709-bdcf-f4d10bbeada8 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric,.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization The unreasonable effectiveness of deep features as a perceptual metric,

Reference 56

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