BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection | Paper Citation Record

Observation 231928d8-cd9c-4d7d-be77-b3eb2834fcfa · outbound

This paper cites Bullseye polytope: A scalable clean- label poisoning attack with improved transferability.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Bullseye polytope: A scalable clean- label poisoning attack with improved transferability

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:56.230624Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 559ef74a-228b-49ae-b2d4-5868c5e9a47d · outbound

This paper cites Poisoning attacks against support vector machines.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Poisoning attacks against support vector machines

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:56.215336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8f30c587-5871-447d-824e-fa721cecd239 · outbound

This paper cites Impress: Evaluating the Resilience of Imperceptible Perturbations against Unauthorized Data Usage in Diffusion-Based Generative Ai.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Impress: Evaluating the Resilience of Imperceptible Perturbations against Unauthorized Data Usage in Diffusion-Based Generative Ai

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:56.200071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 921fcefd-d67e-46ed-b172-df9474fbbe13 · outbound

This paper cites One for All: A Universal Generator for Concept Unlearnability via Multi-Modal Alignment.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection One for All: A Universal Generator for Concept Unlearnability via Multi-Modal Alignment

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:56.183907Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 644fa380-f680-47f3-ab7a-403db94ffbf6 · outbound

This paper cites Self-Ensemble Protec- tion: Training Checkpoints Are Good Data Protectors.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Self-Ensemble Protec- tion: Training Checkpoints Are Good Data Protectors

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:56.168121Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 83b6e97e-32f9-4442-9792-c7e0e6f868c6 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection A simple framework for contrastive learning of visual representations

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:56.152771Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ff5b04e9-0931-4e53-93af-4a80db727fc2 · outbound

This paper cites Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T23:06:54.560467Z

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Observation 6d9189a2-4f41-47ae-8978-438f0f1aa395 · outbound

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

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Imagenet: A large-scale hierarchical image database

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:56.137717Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 45c9cacc-6214-48bf-9b78-771386b9c118 · outbound

This paper cites The devil’s advocate: Shattering the illusion of unex- ploitable data using diffusion models.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection The devil’s advocate: Shattering the illusion of unex- ploitable data using diffusion models

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:56.122889Z

Source-reported events for the cited work

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Observation 87b9188e-0525-4709-9bda-7adadc4eb83a · outbound

This paper cites Classical potential theory and its probabilistic counterpart.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Classical potential theory and its probabilistic counterpart

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:56.107405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 007103f1-721c-4cf7-9fb0-3dc2f5b38376 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:56.091363Z

Source-reported events for the cited work

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Observation 39a8b99e-23bd-4f1f-8431-5140af96b7c0 · outbound

This paper cites Collapsing the Learning: Crafting Broadly Transferable Unlearnable Examples.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Collapsing the Learning: Crafting Broadly Transferable Unlearnable Examples

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:56.075804Z

Source-reported events for the cited work

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Observation 2a3161f5-f3dc-4c18-bbc7-713477db6183 · outbound

This paper cites Learning to confuse: Generating training time adversarial data with auto-encoder.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Learning to confuse: Generating training time adversarial data with auto-encoder

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:56.059814Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f8c5cd52-6f8c-45b8-b828-14509a431b6a · outbound

This paper cites Adversarial examples makestrongpoisons.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Adversarial examples makestrongpoisons

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:56.043601Z

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Observation 7ab87f43-1ec2-47f0-96b9-2a819a74567f · outbound

This paper cites Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:56.025147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e0377c72-32e9-4df9-8a60-59170dbe02da · outbound

This paper cites Witches’ Brew: ial Scale Data Poisoning via Gradient Matching.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Witches’ Brew: ial Scale Data Poisoning via Gradient Matching

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:56.007894Z

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Observation af89330f-3db2-4f71-8e26-068b1b261599 · outbound

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

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T23:06:54.611449Z

Source-reported events for the cited work

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Observation a39f1388-6861-4320-b695-a4ca81d769e9 · outbound

This paper cites Practical Poisoning Attacks on Neural Networks.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Practical Poisoning Attacks on Neural Networks

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.991268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5e71d42f-1957-46c5-9009-51adad308373 · outbound

This paper cites Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learn- ing.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learn- ing

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.975573Z

Source-reported events for the cited work

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Observation 76efeeb4-db75-465e-85c7-4e45ed096e55 · outbound

This paper cites Your Face Belongs to Us: The Secretive Startup Dismantling Your Privacy.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Your Face Belongs to Us: The Secretive Startup Dismantling Your Privacy

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.959950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation caf2233e-06f9-48be-9afe-49cba0543336 · outbound

This paper cites Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T23:06:54.631661Z

Source-reported events for the cited work

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Observation 6b5b7c34-e026-4875-bc59-56e3bb7c5677 · outbound

This paper cites Squeeze-and-excitation networks.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Squeeze-and-excitation networks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T23:06:54.636253Z

Source-reported events for the cited work

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Observation 05a4f866-87a4-4d67-9895-a71f736f3ede · outbound

This paper cites Densely connected convolutional networks.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Densely connected convolutional networks

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.930786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 74e00f69-a740-42cf-a76d-85ef6f9b1a67 · outbound

This paper cites Unlearnable Examples: Making Personal Data Unexploitable.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Unlearnable Examples: Making Personal Data Unexploitable

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.915603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2f42eb66-f0f8-4807-8d4c-cd55ebc9c7c3 · outbound

This paper cites Unlearnable examples give a false sense of security: Piercing through unexploitable data with learnable examples.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Unlearnable examples give a false sense of security: Piercing through unexploitable data with learnable examples

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.900083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 684efc93-92dc-44ea-afad-b27a7fdaac51 · outbound

This paper cites Understanding black-box predictions via influence functions.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Understanding black-box predictions via influence functions

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.884767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b5bc96d7-480b-41c4-99ae-03b982158d42 · outbound

This paper cites Stronger Data Poisoning Attacks Break Data Sanitization Defenses.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Stronger Data Poisoning Attacks Break Data Sanitization Defenses

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.869829Z

Source-reported events for the cited work

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Observation ed6725c4-e576-4ea0-a8a1-0951159c3f64 · outbound

This paper cites 3D Object Representations for Fine-Grained Categoriza- tion.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection 3D Object Representations for Fine-Grained Categoriza- tion

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.854213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 01f2794a-e7d6-4e35-8dcf-a9f03ee9a5da · outbound

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

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Learning multiple layers of features from tiny images

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.839008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 490a6166-83dd-4150-9eab-98f5a18f2183 · outbound

This paper cites Imagenet classification with deep convolutional neural networks.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Imagenet classification with deep convolutional neural networks

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.824296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1da0dda3-e1c2-4845-9936-51bb90b38fef · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.807917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d66fbb98-6649-487d-9971-27b1baaeac59 · outbound

This paper cites Adversarial example does good: Preventing painting imitation from diffusion models via adversarial examples.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Adversarial example does good: Preventing painting imitation from diffusion models via adversarial examples

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.791178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b91433bb-1114-4490-8b39-47600a7907af · outbound

This paper cites Game-theoretic unlearnable example generator.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Game-theoretic unlearnable example generator

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.773244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 23763478-118c-4810-a985-21018f2d9142 · outbound

This paper cites Imageshortcutsqueezing:Counteringperturbativeavailabilitypoisons with compression.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Imageshortcutsqueezing:Counteringperturbativeavailabilitypoisons with compression

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.756479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5a544c6b-b0d4-4f84-8928-7d4f2237b9b0 · outbound

This paper cites Deep Learning Face Attributes in the Wild.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Deep Learning Face Attributes in the Wild

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.738591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a9db3d7d-e21d-43dd-b3fe-5360f0c5fff1 · outbound

This paper cites Indiscriminate Data Poisoning Attacks on Neural Networks.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Indiscriminate Data Poisoning Attacks on Neural Networks

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.721467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fcf700ae-ea82-48fe-87e4-223d2fc9bc22 · outbound

This paper cites Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.702550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation defccd8e-3f55-4cd7-ab91-4938188710bd · outbound

This paper cites Indiscriminate Data Poisoning Attacks on Pre-trained Fea- ture Extractors.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Indiscriminate Data Poisoning Attacks on Pre-trained Fea- ture Extractors

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.683600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a232770d-4427-4200-888b-a47a5dacb535 · outbound

This paper cites Towards Deep Learning Models Resis- tant to Adversarial Attacks.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Towards Deep Learning Models Resis- tant to Adversarial Attacks

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.665307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 04e045b8-7724-474f-bbfa-f6ee007899bf · outbound

This paper cites Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.643264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation edb01fef-0ace-4490-8e0e-47f520fc1f30 · outbound

This paper cites Image super-resolution as a defense against adversarial attacks.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Image super-resolution as a defense against adversarial attacks

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.625253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d9b3aece-d89b-4640-ab19-9af54ac96a92 · outbound

This paper cites Diffusion models for adversarial purification.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Diffusion models for adversarial purification

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.607415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0f168767-3d2c-4609-89ec-bfda7124a90b · outbound

This paper cites Cats and Dogs.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Cats and Dogs

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.589059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1ab0f587-6e9d-410e-a957-183d99b7b116 · outbound

This paper cites PureGen: Universal Data Purifica- tion for Train-Time Poison Defense via Generative Model Dynamics.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection PureGen: Universal Data Purifica- tion for Train-Time Poison Defense via Generative Model Dynamics

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.569244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9f2c3121-3424-44c3-a2c0-0c8e17936e98 · outbound

This paper cites Learning the unlearnable: Adversarial augmentations suppress unlearnable example attacks.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Learning the unlearnable: Adversarial augmentations suppress unlearnable example attacks

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.551677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 73bfb833-dc90-45d5-b8fd-c6ec244805e8 · outbound

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

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Learning transferable visual models from natural language supervision

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.533339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dcaa0438-5ce0-4951-940d-76a92d2c1811 · outbound

This paper cites Data Poisoning Won’t Save You From Facial Recognition.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Data Poisoning Won’t Save You From Facial Recognition

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.513717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 79694fd3-21de-4254-8a11-5b885e87b970 · outbound

This paper cites Transferable Unlearnable Examples.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Transferable Unlearnable Examples

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.494155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0b19b302-0271-4144-8bfb-6316b332a2ea · outbound

This paper cites Diffusions, Markov processes, and martingales: Itô calculus.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Diffusions, Markov processes, and martingales: Itô calculus

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.477221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7a771009-78bf-4a7e-ab98-3321ee84d848 · outbound

This paper cites High-Resolution Image Synthesis With Latent Diffusion Models.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection High-Resolution Image Synthesis With Latent Diffusion Models

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.461600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 89906d77-ffff-4a33-bebf-d3e6594f7a82 · outbound

This paper cites Hidden trigger backdoor attacks.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Hidden trigger backdoor attacks

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.445865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c47d9492-4962-4dfd-80ba-fd8853812150 · outbound

This paper cites Defense-GAN: Protecting Classifiers Against Adver- sarial Attacks Using Generative Models.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Defense-GAN: Protecting Classifiers Against Adver- sarial Attacks Using Generative Models

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.430039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d87e944c-a2e6-48a6-a115-94ff2f0f7f7e · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Mobilenetv2: Inverted residuals and linear bottlenecks

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-10T23:06:54.787481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2376f36d-5e12-4ebf-8708-2877a9d2c68f · outbound

This paper cites Autoregressive Perturbations for Data Poisoning.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Autoregressive Perturbations for Data Poisoning

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.403108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 222075d7-2712-44c2-8264-05cfcee5b7a7 · outbound

This paper cites PoisonFrogs! Targeted Clean-Label Poisoning Attacks on Neural Networks.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection PoisonFrogs! Targeted Clean-Label Poisoning Attacks on Neural Networks

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.387097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 68418654-c82e-45ba-ac1f-276ac234f51d · outbound

This paper cites Glaze: Protecting artists from style mimicry by{Text-to-Image} models.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Glaze: Protecting artists from style mimicry by{Text-to-Image} models

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.371717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 868480c0-881a-4aa6-8a52-7bd2f2d06466 · outbound

This paper cites Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.356213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c4dc887b-711e-4826-8481-e29424fcb95a · outbound

This paper cites Fawkes: Protecting privacy against unauthorized deep learning models.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Fawkes: Protecting privacy against unauthorized deep learning models

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.341352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 948c33af-3953-4d25-ac83-d0c044ebbcd1 · outbound

This paper cites Online Adversarial Purification based on Self-supervised Learning.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Online Adversarial Purification based on Self-supervised Learning

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.325991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6c5e4e1d-1595-498c-937b-28704dc97f53 · outbound

This paper cites Score-Based Gener- ative Modeling through Stochastic Differential Equations.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Score-Based Gener- ative Modeling through Stochastic Differential Equations

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.310726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2a84f290-16cf-4cf4-be5a-36f1bc4d38af · outbound

This paper cites Model-targeted poisoning attacks with provable convergence.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Model-targeted poisoning attacks with provable convergence

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.295163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7f67cec2-e63c-4c62-9430-51d3d893eaac · outbound

This paper cites Better safe than sorry: Preventing delusive adver- saries with adversarial training.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Better safe than sorry: Preventing delusive adver- saries with adversarial training

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.279739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a809cca0-f750-4fc5-88ab-7fd1512dd346 · outbound

This paper cites Going deeper with image trans- formers.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Going deeper with image trans- formers

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.264459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0bbd0987-93be-4016-9865-07dea0bb804f · outbound

This paper cites Spectral Signatures in Backdoor Attacks.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Spectral Signatures in Backdoor Attacks

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.249289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1a41a67a-f8d4-460d-89b6-1858ea9d84d4 · outbound

This paper cites Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.233489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8780ef37-706c-4d19-ad48-39cc2390550f · outbound

This paper cites Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.218512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0220a8ac-e932-4528-a697-c5a3be9a59c2 · outbound

This paper cites One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.202863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation eadb3555-255a-4ab9-854f-34aa9133658a · outbound

This paper cites Pixel is a Barrier: Diffusion Models Are More Adversarially Robust Than We Think.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Pixel is a Barrier: Diffusion Models Are More Adversarially Robust Than We Think

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-10T23:06:54.856480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cad2ea5a-55d6-4c6c-9080-f3ee623888e5 · outbound

This paper cites Learning Face Representation from Scratch.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Learning Face Representation from Scratch

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-10T23:06:54.862111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f34977b5-0e16-41c6-8ec0-b125cecce644 · outbound

This paper cites Adversarial purification with score-based generative models.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Adversarial purification with score-based generative models

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.186833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5aca9155-ac7f-4088-84b0-8d703899aa4a · outbound

This paper cites Availabilityattackscreateshortcuts.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Availabilityattackscreateshortcuts

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.170871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6cc2c9be-2502-4ba4-a510-7359b03c2fea · outbound

This paper cites Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.154866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 260d6c36-5d4e-467e-8f48-6090fed500af · outbound

This paper cites Neural Tangent Generalization Attacks.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Neural Tangent Generalization Attacks

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.138385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 02ca2fcd-40ec-4b28-8c90-2989ac71fcbd · outbound

This paper cites Unlearnableclusters:Towardslabel- agnostic unlearnable examples.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Unlearnableclusters:Towardslabel- agnostic unlearnable examples

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.121068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a4758ee5-aaed-41ec-9d53-447ff1dc1197 · outbound

This paper cites Can protective perturbation safeguard personal data from being exploited by stable diffusion?.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Can protective perturbation safeguard personal data from being exploited by stable diffusion?

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.102004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ccb68413-acd6-4509-ab58-e99cfec8b393 · outbound

This paper cites Denoising Diffusion Bridge Models.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Denoising Diffusion Bridge Models

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.084497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f7a7d6f4-982c-4abe-8ac6-fe6fe6f6bed3 · outbound

This paper cites Transferableclean-label poisoning attacks on deep neural nets.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Transferableclean-label poisoning attacks on deep neural nets

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.068601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f3e5b438-c77d-4185-8d82-056af81ee86c · outbound

This paper cites Detection and defense of unlearnable examples.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Detection and defense of unlearnable examples

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:55.051008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9c2a9e28-ec16-4027-b600-a9700ca584cc · outbound

This paper cites C.7 Mixture of Protection The mechanism P could possibly employ multiple availability attacks to protect data.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection C.7 Mixture of Protection The mechanism P could possibly employ multiple availability attacks to protect data

Reference 100

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T23:06:55.034033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers