Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction | Paper Citation Record

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This paper cites Azure face recognition.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Azure face recognition

Reference 1

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This paper cites an unresolved cited work.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Unresolved cited work

Reference 2

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This paper cites Splitnn,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Splitnn,

Reference 3

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This paper cites Amazon rekognition.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Amazon rekognition

Reference 4

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This paper cites Clip image encoder,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Clip image encoder,

Reference 5

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This paper cites Fedface: Collaborative learning of face recognition model,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Fedface: Collaborative learning of face recognition model,

Reference 6

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This paper cites Layer-wise partitioning and merging for efficient and scalable deep learning,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Layer-wise partitioning and merging for efficient and scalable deep learning,

Reference 7

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This paper cites Face Recognition in the age of CLIP & Billion image datasets.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Face Recognition in the age of CLIP & Billion image datasets

Reference 8

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This paper cites Leveraging clip for image emo- tion recognition,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Leveraging clip for image emo- tion recognition,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:41:46.527511Z

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This paper cites Improving language models by retrieving from trillions of tokens,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Improving language models by retrieving from trillions of tokens,

Reference 10

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This paper cites Expressive telepresence via modular codec avatars,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Expressive telepresence via modular codec avatars,

Reference 11

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This paper cites Imagenet: A large-scale hierarchical image database,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Imagenet: A large-scale hierarchical image database,

Reference 12

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Observation 47e2f5cd-40b1-49ba-831f-c96a75ae65fd · outbound

This paper cites Learning to Compose Diversified Prompts for Image Emotion Classification.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Learning to Compose Diversified Prompts for Image Emotion Classification

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-11T17:41:45.525005Z

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This paper cites Resource- aware dnn partitioning for privacy-sensitive edge-cloud systems,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Resource- aware dnn partitioning for privacy-sensitive edge-cloud systems,

Reference 14

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This paper cites Splitnets: Designing neural architectures for efficient distributed computing on head-mounted systems,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Splitnets: Designing neural architectures for efficient distributed computing on head-mounted systems,

Reference 15

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

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks

Reference 16

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Observation 439d6e7c-475b-4db9-bcdc-bd66747d1073 · outbound

This paper cites Inverting visual representations with convolutional networks,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Inverting visual representations with convolutional networks,

Reference 17

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This paper cites Unsplit: Data-oblivious model inversion, model stealing, and label inference attacks against split learning,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Unsplit: Data-oblivious model inversion, model stealing, and label inference attacks against split learning,

Reference 18

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This paper cites Dnn partitioning for inference throughput acceleration at the edge,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Dnn partitioning for inference throughput acceleration at the edge,

Reference 19

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This paper cites Auto- card: Efficient and robust codec avatar driving for real-time mobile telepresence,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Auto- card: Efficient and robust codec avatar driving for real-time mobile telepresence,

Reference 20

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This paper cites Cryptonets: Applying neural networks to encrypted data with high throughput and accuracy,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Cryptonets: Applying neural networks to encrypted data with high throughput and accuracy,

Reference 21

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This paper cites A hybrid approach to offloading mobile image classifica- tion,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction A hybrid approach to offloading mobile image classifica- tion,

Reference 22

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Observation 61212b96-f4de-47fb-84e2-8cd4be1880a8 · outbound

This paper cites Model inversion attacks against collaborative inference,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Model inversion attacks against collaborative inference,

Reference 23

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This paper cites Denoising diffusion probabilistic models,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Denoising diffusion probabilistic models,

Reference 24

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This paper cites Independent component analysis: algorithms and applications,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Independent component analysis: algorithms and applications,

Reference 25

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This paper cites Gradient inversion with genera- tive image prior,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Gradient inversion with genera- tive image prior,

Reference 26

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This paper cites Dnn-sam: Split-and-merge dnn execution for real- time object detection,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Dnn-sam: Split-and-merge dnn execution for real- time object detection,

Reference 27

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

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Neurosurgeon: Collaborative intelligence between the cloud and mobile edge,

Reference 28

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This paper cites Split computing: Dnn inference partition with load balancing in iot-edge platform for beyond 5g,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Split computing: Dnn inference partition with load balancing in iot-edge platform for beyond 5g,

Reference 29

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This paper cites Tanks and temples: Benchmarking large-scale scene reconstruction,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Tanks and temples: Benchmarking large-scale scene reconstruction,

Reference 30

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This paper cites Wireless channel adaptive dnn split inference for resource-constrained edge devices,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Wireless channel adaptive dnn split inference for resource-constrained edge devices,

Reference 31

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This paper cites Not afraid of the dark: Nir-vis face recognition via cross-spectral hallucination and low-rank embedding,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Not afraid of the dark: Nir-vis face recognition via cross-spectral hallucination and low-rank embedding,

Reference 32

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This paper cites Auditing privacy defenses in federated learning via generative gradient leakage,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Auditing privacy defenses in federated learning via generative gradient leakage,

Reference 33

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This paper cites Microsoft coco: Common objects in context,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Microsoft coco: Common objects in context,

Reference 34

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This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps,

Reference 35

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This paper cites Deep fuzzy hashing network for efficient image retrieval,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Deep fuzzy hashing network for efficient image retrieval,

Reference 36

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This paper cites Hierarchical recurrent neural hashing for image retrieval with hierarchical convolutional features,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Hierarchical recurrent neural hashing for image retrieval with hierarchical convolutional features,

Reference 37

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This paper cites Split: Qos-aware dnn inference on shared gpu via evenly-sized model splitting,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Split: Qos-aware dnn inference on shared gpu via evenly-sized model splitting,

Reference 38

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This paper cites Accelerating Diffusion Models via Early Stop of the Diffusion Process.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Accelerating Diffusion Models via Early Stop of the Diffusion Process

Reference 39

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This paper cites Pixel codec avatars,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Pixel codec avatars,

Reference 40

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This paper cites Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information

Reference 41

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This paper cites Understanding deep image represen- tations by inverting them,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Understanding deep image represen- tations by inverting them,

Reference 42

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This paper cites On the reconstruction of face images from deep face templates,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction On the reconstruction of face images from deep face templates,

Reference 43

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This paper cites Dis- tilled split deep neural networks for edge-assisted real-time systems,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Dis- tilled split deep neural networks for edge-assisted real-time systems,

Reference 44

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

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Split computing and early exiting for deep learning applications: Survey and research challenges,

Reference 45

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This paper cites Text Embeddings Reveal (Almost) As Much As Text.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Text Embeddings Reveal (Almost) As Much As Text

Reference 46

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This paper cites Asap: Asyn- chronous split inference for accelerated dnn execution,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Asap: Asyn- chronous split inference for accelerated dnn execution,

Reference 47

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This paper cites Quiltnet: efficient deep learning inference on multi-chip accelerators using model partitioning,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Quiltnet: efficient deep learning inference on multi-chip accelerators using model partitioning,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:41:45.904409Z

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Observation b75bf7dc-af0f-4240-900d-8d091a8c1de6 · outbound

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

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Learning transferable visual models from natural language supervision,

Reference 49

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This paper cites Generative adversarial text to image synthesis,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Generative adversarial text to image synthesis,

Reference 50

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This paper cites Audio- and gaze-driven facial animation of codec avatars,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Audio- and gaze-driven facial animation of codec avatars,

Reference 51

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This paper cites High- resolution image synthesis with latent diffusion models,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction High- resolution image synthesis with latent diffusion models,

Reference 52

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

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Nonlinear total variation based noise removal algorithms,

Reference 53

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This paper cites Photorealistic text-to-image diffusion models with deep language understanding,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Photorealistic text-to-image diffusion models with deep language understanding,

Reference 54

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This paper cites Improved techniques for training gans,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Improved techniques for training gans,

Reference 55

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Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Facenet: A unified embed- ding for face recognition and clustering,

Reference 56

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Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Clip-cluster: Clip-guided attribute hallucination for face clustering,

Reference 57

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Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Information leakage in embedding models,

Reference 58

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Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Denoising Diffusion Implicit Models

Reference 59

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Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Analyzing user-level privacy attack against federated learning,

Reference 60

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Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Branchynet: Fast inference via early exiting from deep neural networks,

Reference 61

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Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Distributed deep neural networks over the cloud, the edge and end devices,

Reference 62

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Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning

Reference 63

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Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice

Reference 64

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Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Cris: Clip-driven referring image segmentation,

Reference 65

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Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Image quality assessment: from error visibility to structural similarity,

Reference 66

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Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Ganobfuscator: Mitigating information leakage under gan via differential privacy,

Reference 67

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Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Understanding Neural Networks Through Deep Visualization

Reference 68

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This paper cites Coedge: Cooperative dnn inference with adaptive workload partitioning over heterogeneous edge devices,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Coedge: Cooperative dnn inference with adaptive workload partitioning over heterogeneous edge devices,

Reference 69

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This paper cites Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks,

Reference 70

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This paper cites Adaptive distributed convolutional neural network inference at the network edge with adcnn,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Adaptive distributed convolutional neural network inference at the network edge with adcnn,

Reference 71

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This paper cites F-cad: A framework to explore hardware accelerators for codec avatar decoding,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction F-cad: A framework to explore hardware accelerators for codec avatar decoding,

Reference 72

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Observation a9066035-55e3-47f6-8bfc-42c0c46e1363 · outbound

This paper cites The secret revealer: Generative model-inversion attacks against deep neural networks,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction The secret revealer: Generative model-inversion attacks against deep neural networks,

Reference 73

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This paper cites Collaborative index embedding for image retrieval,.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Collaborative index embedding for image retrieval,

Reference 74

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