Paper Citation Record · LEDGER

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion

As of 5 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 2 inbound Pith citation observations for arXiv:2504.18015.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2504.18015 v4

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-22T18:46:35.684340Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T21:04:40.669683Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-05-10T23:55:49.444793Z

Reference resolution

53 of 53 outbound references displayed

verified exact1
verified fuzzy51
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 076afbcc-3adb-433f-a3f0-cd38cc7f256d · outbound

This paper cites Review of cbp’s major cybersecurity incident during a 2019 biometric pilot.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Review of cbp’s major cybersecurity incident during a 2019 biometric pilot

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.905504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 89fb42b8-8da2-4ff0-878c-a9aceb6e9a89 · outbound

This paper cites Major breach found in biometrics system used by banks, uk police and defence firms.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Major breach found in biometrics system used by banks, uk police and defence firms

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.899804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fc8a82b6-ae4d-49cf-8cef-578fb672cf77 · outbound

This paper cites The shanghai data leak shows china’s state surveillance was inevitable.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion The shanghai data leak shows china’s state surveillance was inevitable

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.896217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation aed560ac-02e4-4295-b4d1-a747dd6f11e0 · outbound

This paper cites Reported australian biometric data breach prompts arrest and hysteria.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Reported australian biometric data breach prompts arrest and hysteria

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.887011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b6ed767e-650b-4bab-ada3-23254cff6397 · outbound

This paper cites Data leak exposes personal data of indian military and police.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Data leak exposes personal data of indian military and police

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.876963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2a774cb1-3b82-4412-981c-7f153c57a0ea · outbound

This paper cites Azure AI Services Documenta- tion.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Azure AI Services Documenta- tion

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.869865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 489f3101-f63e-4427-9be2-671538939e34 · outbound

This paper cites an unresolved cited work.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-05-22T18:47:04.862039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 21b2bece-6d48-4daa-95cc-281e5c9d1196 · outbound

This paper cites Cloud,Cloud Vision Documentation.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Cloud,Cloud Vision Documentation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.850433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9a68e0e9-f363-4f90-b079-9be7ff811145 · outbound

This paper cites Face++ Official Documentation.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Face++ Official Documentation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.842566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 923ec7cf-075d-4a9f-8cd3-fd9cbcfe5ab0 · outbound

This paper cites Facenet: A unified em- bedding for face recognition and clustering.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Facenet: A unified em- bedding for face recognition and clustering

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.836619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7830038d-a964-472e-9776-5feb60fd038c · outbound

This paper cites Arcface: Additive angular margin loss for deep face recognition.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Arcface: Additive angular margin loss for deep face recognition

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.830737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bef6d832-6a60-4d5e-9472-b6e1bd45c77d · outbound

This paper cites Privacy-preserving face recognition with learnable privacy budgets in frequency domain.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Privacy-preserving face recognition with learnable privacy budgets in frequency domain

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.822507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4da96be4-3d33-4dc2-bf93-78fcbede2377 · outbound

This paper cites Privacy-preserving face recognition using random frequency components.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Privacy-preserving face recognition using random frequency components

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.815144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cf30b8d4-0c2d-445c-9b00-4ea297e52873 · outbound

This paper cites Validating privacy-preserving face recognition under a minimum assumption.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Validating privacy-preserving face recognition under a minimum assumption

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.806592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3d5f22cf-0cef-41ce-87e5-e82ffec52b19 · outbound

This paper cites Vulnerability of state- of-the-art face recognition models to template inversion attack.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Vulnerability of state- of-the-art face recognition models to template inversion attack

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.802681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6aef895b-f9bf-4b36-a760-e22cdbd85290 · outbound

This paper cites Face reconstruction from facial templates by learning latent space of a generator network.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Face reconstruction from facial templates by learning latent space of a generator network

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.799662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 45a9fa44-e910-4e55-b20a-acee0f306767 · outbound

This paper cites Template inversion attack using synthetic face images against real face recognition systems.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Template inversion attack using synthetic face images against real face recognition systems

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.792257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 67419300-9650-4365-bb42-212d64a528e7 · outbound

This paper cites Reconstruct face from features based on genetic algorithm using gan generator as a distribution constraint.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Reconstruct face from features based on genetic algorithm using gan generator as a distribution constraint

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.784795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 83435a72-d6e7-41f9-a3de-42009aeaf679 · outbound

This paper cites Model inversion attacks that exploit confidence information and basic countermeasures.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Model inversion attacks that exploit confidence information and basic countermeasures

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.780592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b977f809-fc00-40d7-a8c0-2dd27ff8ef15 · outbound

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

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion On the reconstruction of face images from deep face templates

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.856156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2373cab3-44d6-4e06-9749-9ef099741645 · outbound

This paper cites Analysis and utilization of hidden information in model inversion attacks.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Analysis and utilization of hidden information in model inversion attacks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.647328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d8b17dc1-4a64-463b-8e90-3b1bd80ade9c · outbound

This paper cites Vec2face: Unveil human faces from their blackbox features in face recognition.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Vec2face: Unveil human faces from their blackbox features in face recognition

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.768767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 20898722-ccbe-4cd2-aa2f-2859cd090a42 · outbound

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

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion The secret revealer: Generative model-inversion attacks against deep neural networks

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.758494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 786267eb-2f36-4714-b3f7-aa466b842bb1 · outbound

This paper cites Model inversion attack by integration of deep generative models: Privacy-sensitive face generation from a face recognition system.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Model inversion attack by integration of deep generative models: Privacy-sensitive face generation from a face recognition system

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.746726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e1987261-4e88-4351-85d3-7197fd8487d1 · outbound

This paper cites Pseudo label-guided model inversion attack via conditional generative adver- sarial network.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Pseudo label-guided model inversion attack via conditional generative adver- sarial network

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.634989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d47a6e48-7fc6-4bd0-aebe-92397a3affff · outbound

This paper cites Label-only model inversion attacks via knowledge transfer.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Label-only model inversion attacks via knowledge transfer

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.738788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3ae1c8a1-bbbd-4884-81b3-c67819435790 · outbound

This paper cites Label-only model inversion attacks: Adaptive boundary exclusion for limited queries.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Label-only model inversion attacks: Adaptive boundary exclusion for limited queries

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.732445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e85c2bc5-e9ac-4bd5-ac83-48160d27c3f1 · outbound

This paper cites Controllable inversion of black-box face recognition models via diffusion.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Controllable inversion of black-box face recognition models via diffusion

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.727648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 01c1190f-b7a1-4538-934e-7a77f58adec0 · outbound

This paper cites Un- stoppable attack: Label-only model inversion via conditional diffusion model.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Un- stoppable attack: Label-only model inversion via conditional diffusion model

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.691301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 61a23e8f-fd8d-4d39-8fc4-f850ba385e93 · outbound

This paper cites Plug & play attacks: Towards robust and flexible model inversion attacks.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Plug & play attacks: Towards robust and flexible model inversion attacks

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.725646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f58df2f8-b896-4278-85c8-93c01208487c · outbound

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

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion A closer look at gan priors: Exploiting intermediate features for enhanced model inversion attacks

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.722971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4071f086-571f-4343-ae4d-68058fd0876e · outbound

This paper cites Pridm: Effective and universal private data recovery via diffusion models.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Pridm: Effective and universal private data recovery via diffusion models

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.720862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e48f21ad-6810-4eea-bf9a-5791d42c9077 · outbound

This paper cites Oulu-npu: A mobile face presentation attack database with real-world variations.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Oulu-npu: A mobile face presentation attack database with real-world variations

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.717788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e3cf9c6a-d08b-4d7a-bee0-3e68de477e28 · outbound

This paper cites The many-faced god: Attacking face veri- fication system with embedding and image recovery.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion The many-faced god: Attacking face veri- fication system with embedding and image recovery

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.715368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation faf5b03b-bbe6-4279-9fce-82aa40e9b70a · outbound

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

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion High- resolution image synthesis with latent diffusion models

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.712453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2799b668-f2f5-40cd-a3e0-e96c129ac73c · outbound

This paper cites An- alyzing and improving the image quality of stylegan.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion An- alyzing and improving the image quality of stylegan

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.710484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d5805c18-27db-40db-9efc-fde4e2d92b93 · outbound

This paper cites SDEdit: Guided image synthesis and editing with stochastic differential equations.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion SDEdit: Guided image synthesis and editing with stochastic differential equations

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.708254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b9f27c14-012d-4525-9e06-19aa46b79f31 · outbound

This paper cites Maskgan: Towards diverse and interactive facial image manipulation.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Maskgan: Towards diverse and interactive facial image manipulation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.705269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ee70c38e-58c8-4b14-8559-08a8bb66bd97 · outbound

This paper cites Labeled faces in the wild: A database forstudying face recognition in unconstrained environments.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Labeled faces in the wild: A database forstudying face recognition in unconstrained environments

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.643302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 09a8785f-3d71-42dc-a988-5c60ffe3db24 · outbound

This paper cites Transformation to normality of the null distribution ofg 1.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Transformation to normality of the null distribution ofg 1

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.702871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1fa0c36e-7f6d-40b2-a12b-9ba9a6da5665 · outbound

This paper cites Tests for departure from normality. empirical results for the distributions ofb 2 and √b1.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Tests for departure from normality. empirical results for the distributions ofb 2 and √b1

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.754450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 64078ec8-e6c2-432d-bcb9-1761984a66e8 · outbound

This paper cites A suggestion for using powerful and informative tests of normality.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion A suggestion for using powerful and informative tests of normality

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.700563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1a75a45a-18a7-4b76-9144-9d2af04b2a65 · outbound

This paper cites Joint face detection and alignment using multitask cascaded convolutional networks.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Joint face detection and alignment using multitask cascaded convolutional networks

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.696816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e122bb7c-db4a-4a75-8d19-c960e9a234ae · outbound

This paper cites Greedyp- ixel: Fine-grained black-box adversarial attack via greedy algorithm.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Greedyp- ixel: Fine-grained black-box adversarial attack via greedy algorithm

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:46:56.743651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1585538e-71cf-4140-82e8-88f3170fcea3 · outbound

This paper cites Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.686001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8152fa01-efe7-4378-a5e6-58f16ab00b75 · outbound

This paper cites Vggface2: A dataset for recognising faces across pose and age.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Vggface2: A dataset for recognising faces across pose and age

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.653665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b80a2ef7-7148-47b4-9c31-44d2a6c70d86 · outbound

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

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Ms-celeb-1m: A dataset and benchmark for large-scale face recognition

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.773329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 42659101-0e0a-4c63-b656-94e9a438cfd3 · outbound

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

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion A style-based generator architecture for generative adversarial networks

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.658646Z

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Observation a34958fc-056a-4c25-b534-c600287b3cbb · outbound

This paper cites Square attack: a query-efficient black-box adversarial attack via random search.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Square attack: a query-efficient black-box adversarial attack via random search

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.664998Z

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Observation 7b10a633-a23a-49ea-ad1d-543f94cb6fcb · outbound

This paper cites Brusleattack: Query- efficient score-based sparse adversarial attack.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Brusleattack: Query- efficient score-based sparse adversarial attack

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.681820Z

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Observation 0881c0ef-a08b-42d8-8f73-8a7f76f713ae · outbound

This paper cites Billions of logins for apple, google, facebook, telegram, and more found exposed online.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Billions of logins for apple, google, facebook, telegram, and more found exposed online

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.677297Z

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Observation e9a6a0f3-1c5f-4246-bc11-ff8e121a09df · outbound

This paper cites Similarity-based gray-box adversarial attack against deep face recogni- tion.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion Similarity-based gray-box adversarial attack against deep face recogni- tion

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.671878Z

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Observation 41ed034f-9599-4ae1-99dd-f3785d4712ee · outbound

This paper cites A multi- task adversarial attack against face authentication.

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion A multi- task adversarial attack against face authentication

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:47:04.629033Z

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Pith citing papers

Observation e25b7f6c-06f6-4992-88fb-3d7604bd4aff · inbound

From Measurement to Mitigation: Quantifying and Reducing Identity Leakage in Image Representation Encoders with Linear Subspace Removal cites this paper.

From Measurement to Mitigation: Quantifying and Reducing Identity Leakage in Image Representation Encoders with Linear Subspace Removal DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-05-10T23:55:49.457633Z

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Observation 1128aa0d-e70f-40e2-99c9-0ba8b684ec23 · inbound

Signal-based Model Access Risk Analysis for AI System Operations Security cites this paper.

Signal-based Model Access Risk Analysis for AI System Operations Security DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion

Reference 34

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