Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle | Paper Citation Record

Observation d4cb9ee7-fb4a-4bcb-8ac0-1155c271ed26 · outbound

This paper cites Intriguing properties of neural networks,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Intriguing properties of neural networks,

Reference 1

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Observation 794d0aae-30c3-4273-bf86-432be2d3a6ca · outbound

This paper cites Proactive schemes: A survey of adversarial attacks for social good,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Proactive schemes: A survey of adversarial attacks for social good,

Reference 2

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Observation 5948b9d7-7538-441c-b502-7a66a75c218e · outbound

This paper cites Adversarial machine learning for social good: Reframing the adversary as an ally,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Adversarial machine learning for social good: Reframing the adversary as an ally,

Reference 3

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Observation fce5aef8-0ef5-4c04-827f-d46a084aced2 · outbound

This paper cites Toward a privacy-preserving face recognition system: A survey of leakages and solutions,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Toward a privacy-preserving face recognition system: A survey of leakages and solutions,

Reference 4

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Observation a6f5af1b-26b3-43e8-b68a-ca1363030452 · outbound

This paper cites A Survey on Unlearnable Data.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle A Survey on Unlearnable Data

Reference 5

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Observation 41f6b967-4228-4a98-a4a8-ae00bdb4b998 · outbound

This paper cites A survey of defenses against AI-generated visual media: Detection, disruption, and authentication,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle A survey of defenses against AI-generated visual media: Detection, disruption, and authentication,

Reference 6

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Observation 470c1297-c196-4856-ace0-e6589373d403 · outbound

This paper cites A survey on adversarial perturbations and attacks on captchas,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle A survey on adversarial perturbations and attacks on captchas,

Reference 7

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Observation e2f9dc50-013d-4c96-b824-e630d87765f3 · outbound

This paper cites Sok: Watermarking for ai-generated content,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Sok: Watermarking for ai-generated content,

Reference 8

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Observation 276de30a-39fb-4018-a26a-986b0966f4cc · outbound

This paper cites Sok: Anti-facial recognition technology,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Sok: Anti-facial recognition technology,

Reference 9

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Observation ec98d8cc-550e-4771-991e-34b73d085493 · outbound

This paper cites A survey on proactive deepfake defense: Disruption and water- marking,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle A survey on proactive deepfake defense: Disruption and water- marking,

Reference 10

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Observation 6e67cb88-db81-499e-9a89-9dde804b47f7 · outbound

This paper cites Towards privacy- preserving visual recognition via adversarial training: A pilot study,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Towards privacy- preserving visual recognition via adversarial training: A pilot study,

Reference 11

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Observation d87fde5c-906a-426f-a57f-6ab4a77924a5 · outbound

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

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Fawkes: Protecting privacy against unauthorized deep learning models,

Reference 12

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Observation 6d870287-a5be-42fe-83f2-6059e7383692 · outbound

This paper cites Adver- sarial privacy-preserving filter,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Adver- sarial privacy-preserving filter,

Reference 13

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Observation 64edf5c4-7a68-4ca8-afb7-f14528952cf2 · outbound

This paper cites Lowkey: Leveraging adversarial attacks to protect social media users from facial recognition,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Lowkey: Leveraging adversarial attacks to protect social media users from facial recognition,

Reference 14

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Observation 3991dd53-88bc-4672-a453-59a76f768486 · outbound

This paper cites Socialguard: An adversarial example based privacy-preserving technique for social images,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Socialguard: An adversarial example based privacy-preserving technique for social images,

Reference 15

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Observation 6aaee0da-6ad4-4d94-9fe5-e51111ff3210 · outbound

This paper cites Low-mid adversarial pertur- bation against unauthorized face recognition system,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Low-mid adversarial pertur- bation against unauthorized face recognition system,

Reference 16

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Observation 6f1833bc-81a2-4f04-b06a-09cde2b71ad2 · outbound

This paper cites Towards Prompt-robust Face Privacy Protection via Adversarial Decoupling Augmentation Framework.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Towards Prompt-robust Face Privacy Protection via Adversarial Decoupling Augmentation Framework

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-08T20:00:19.481705Z

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Observation 28a50d1e-da2a-4fe4-bcd1-5f471b943ea1 · outbound

This paper cites Campro: Camera-based anti-facial recognition,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Campro: Camera-based anti-facial recognition,

Reference 18

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Observation d9a5ccb1-bc1e-49c3-a213-8725753aee09 · outbound

This paper cites Enhancing generalization of invisible facial privacy cloak via gradient accumulation,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Enhancing generalization of invisible facial privacy cloak via gradient accumulation,

Reference 19

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Observation 41c7b8bc-3675-44ee-b35a-18434414e61c · outbound

This paper cites Transferable facial privacy protection against blind face restora- tion via domain-consistent adversarial obfuscation,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Transferable facial privacy protection against blind face restora- tion via domain-consistent adversarial obfuscation,

Reference 20

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Observation 97c63716-c165-4498-a01e-542b5c585d84 · outbound

This paper cites VIP: Visual Information Protection through Adversarial Attacks on Vision-Language Models.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle VIP: Visual Information Protection through Adversarial Attacks on Vision-Language Models

Reference 21

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Observation 6b2681e2-d1fc-4235-bf71-624aaff44489 · outbound

This paper cites Dis- rupting hierarchical reasoning: Adversarial protection for geo- graphic privacy in multimodal reasoning models,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Dis- rupting hierarchical reasoning: Adversarial protection for geo- graphic privacy in multimodal reasoning models,

Reference 22

Resolution: verified exact; raw_fallback, observed 2026-08-08T20:00:19.405915Z

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Observation 936995f0-2258-4342-89dc-3a0c7a383187 · outbound

This paper cites Geoshield: Safe- guarding geolocation privacy from vision-language models via adversarial perturbations,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Geoshield: Safe- guarding geolocation privacy from vision-language models via adversarial perturbations,

Reference 23

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Observation d6ef7de2-1de7-46cb-8121-c07823a527df · outbound

This paper cites Effective de-identification generative adversarial network for face anonymization,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Effective de-identification generative adversarial network for face anonymization,

Reference 24

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Observation 2ebd75f1-80cd-433a-8e6a-dd92efd116bd · outbound

This paper cites Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition

Reference 25

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Observation 24e3f444-2456-4149-80a9-1eca56d02d7a · outbound

This paper cites Clip2protect: Pro- tecting facial privacy using text-guided makeup via adversarial latent search,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Clip2protect: Pro- tecting facial privacy using text-guided makeup via adversarial latent search,

Reference 26

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Observation 6b936007-f646-44ec-9659-249c66145728 · outbound

This paper cites Diffprotect: Generate adversarial examples with diffusion mod- els for facial privacy protection,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Diffprotect: Generate adversarial examples with diffusion mod- els for facial privacy protection,

Reference 27

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Observation 8aaf46ea-5b0e-4a5e-a575-5636f66d3179 · outbound

This paper cites Privacy-preserving adversarial facial features,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Privacy-preserving adversarial facial features,

Reference 28

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Observation b2ef57fe-d3c4-4625-94fb-bad1261fbf29 · outbound

This paper cites 3d-aware adversarial makeup generation for facial privacy protection,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle 3d-aware adversarial makeup generation for facial privacy protection,

Reference 29

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Observation 85557a68-a529-4f0d-947c-89762d1e2fc6 · outbound

This paper cites Achieving privacy- preserving multi-view consistency with advanced 3d-aware face de-identification,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Achieving privacy- preserving multi-view consistency with advanced 3d-aware face de-identification,

Reference 30

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Observation 9ca8bbd2-e164-46bc-b4df-94b51f05bc4c · outbound

This paper cites Transfer- able adversarial facial images for privacy protection,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Transfer- able adversarial facial images for privacy protection,

Reference 31

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Observation f083f563-2f98-4e74-b88f-842e7013211b · outbound

This paper cites Adv- diffusion: imperceptible adversarial face identity attack via latent diffusion model,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Adv- diffusion: imperceptible adversarial face identity attack via latent diffusion model,

Reference 32

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Observation bc619f5c-e359-48b0-9802-5c7099608527 · outbound

This paper cites Diffam: Diffusion- based adversarial makeup transfer for facial privacy protection,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Diffam: Diffusion- based adversarial makeup transfer for facial privacy protection,

Reference 33

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Observation c4dcb92e-1b91-4e2f-9350-6e4c2b5a3d2a · outbound

This paper cites Diff-privacy: Diffusion-based face privacy protection,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Diff-privacy: Diffusion-based face privacy protection,

Reference 34

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Observation 432386ab-dcab-4fb1-924e-3d67fc2ed65e · outbound

This paper cites Makeup-guided facial privacy protection via untrained neural network priors,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Makeup-guided facial privacy protection via untrained neural network priors,

Reference 35

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Observation a8fdd537-42a9-4096-aefe-ba73bdc70332 · outbound

This paper cites Styleadv: a usable privacy frame- work against facial recognition with adversarial image editing,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Styleadv: a usable privacy frame- work against facial recognition with adversarial image editing,

Reference 36

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Observation 1917236f-1136-48fa-97dd-8f35d0d9de30 · outbound

This paper cites Sd4privacy: exploiting stable diffusion for protecting facial privacy,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Sd4privacy: exploiting stable diffusion for protecting facial privacy,

Reference 37

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Observation 2f8bb520-7046-4bda-b831-756f73c534df · outbound

This paper cites Adversarial 3d generation based on diffusion models for anti-facial recognition,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Adversarial 3d generation based on diffusion models for anti-facial recognition,

Reference 38

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Observation d1ccd216-1747-4053-9692-b07e905a29ff · outbound

This paper cites Advcloak: Customized adversarial cloak for privacy protection,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Advcloak: Customized adversarial cloak for privacy protection,

Reference 39

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Observation be483233-685b-4889-925e-fdadd45ed062 · outbound

This paper cites Crfd: A novel face privacy preservation via fine-grained controllable and reversible de-identification,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Crfd: A novel face privacy preservation via fine-grained controllable and reversible de-identification,

Reference 40

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Observation dbd9868f-0721-413f-ae79-127a6e703601 · outbound

This paper cites Machine pareidolia: Protecting facial image with emotional editing,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Machine pareidolia: Protecting facial image with emotional editing,

Reference 41

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Observation adde3731-2214-4b2b-b833-9fe199bb66ac · outbound

This paper cites Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition,

Reference 42

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Observation 394915b4-1bdd-446c-9552-fcda92917c54 · outbound

This paper cites Adversarial face de-identification,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Adversarial face de-identification,

Reference 43

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Observation f6ff3999-4525-4cb7-8099-dbde4f289cf3 · outbound

This paper cites To- wards face encryption by generating adversarial identity masks,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle To- wards face encryption by generating adversarial identity masks,

Reference 44

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Observation f6ecc3c4-f4d7-49cf-9f16-18a3b3770968 · outbound

This paper cites Adversarial attacks on face detection algorithms using anti-facial recognition t-shirts,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Adversarial attacks on face detection algorithms using anti-facial recognition t-shirts,

Reference 45

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Observation 6293fe9e-753a-4c80-b913-bac73b08cacd · outbound

This paper cites Identi- tymask: Deep motion flow guided reversible face video de- identification,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Identi- tymask: Deep motion flow guided reversible face video de- identification,

Reference 46

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Observation 71f0fecc-ecad-4c0c-bde1-336d0ea43126 · outbound

This paper cites Opom: Customized invisible cloak towards face privacy protection,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Opom: Customized invisible cloak towards face privacy protection,

Reference 47

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Observation 87e366cb-bcf9-4248-8d85-8f03b2af306d · outbound

This paper cites Protecting facial privacy: Generating adversarial identity masks via style-robust makeup transfer,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Protecting facial privacy: Generating adversarial identity masks via style-robust makeup transfer,

Reference 48

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Observation 108058f3-3aa1-4358-b81b-5b59c7d8663f · outbound

This paper cites Collaborative face privacy protection method based on adversarial examples in so- cial networks,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Collaborative face privacy protection method based on adversarial examples in so- cial networks,

Reference 49

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Observation 5730c4fc-dfd3-49c2-a7c7-00e7a015c18c · outbound

This paper cites Diversity-driven privacy protection masks against unautho- rized face recognition,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Diversity-driven privacy protection masks against unautho- rized face recognition,

Reference 50

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Observation f8e5c399-0e05-4164-8519-7c87f12251a5 · outbound

This paper cites Reversible privacy preserving on vision-language models via adversarial multimodal key,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Reversible privacy preserving on vision-language models via adversarial multimodal key,

Reference 51

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Observation fcc23f09-f11e-485d-a1c1-52af4cbffa39 · outbound

This paper cites Erasablemask: A robust and erasable privacy protection scheme against black-box face recognition models,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Erasablemask: A robust and erasable privacy protection scheme against black-box face recognition models,

Reference 52

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Observation 5e7a18fb-7641-4b6c-be89-04af70bb0151 · outbound

This paper cites Dualtap: A dual-task adversarial protector for mobile mllm agents,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Dualtap: A dual-task adversarial protector for mobile mllm agents,

Reference 53

Resolution: verified exact; raw_fallback, observed 2026-08-08T20:00:19.136350Z

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Observation 03dbc9b9-2b5f-4a37-b7a6-d8106f42538f · outbound

This paper cites Adversarial examples make strong poisons,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Adversarial examples make strong poisons,

Reference 54

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Observation ad3ae65e-2928-45ce-8f58-c39d7957fa91 · outbound

This paper cites Un- learnable examples: Making personal data unexploitable,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Un- learnable examples: Making personal data unexploitable,

Reference 55

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Observation 7e9391c6-7110-458c-8d56-6e85f804df96 · outbound

This paper cites Going Grayscale: The Road to Understanding and Improving Unlearnable Examples.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Going Grayscale: The Road to Understanding and Improving Unlearnable Examples

Reference 56

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Observation 849a1534-d6b6-4c4e-ba01-a46c83134435 · outbound

This paper cites Robust unlearnable examples: Protecting data privacy against adversarial learning,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Robust unlearnable examples: Protecting data privacy against adversarial learning,

Reference 57

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Observation 73f2b3dc-5b23-4533-8774-300bcffdf2c0 · outbound

This paper cites Re-thinking data availability attacks against deep neural networks,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Re-thinking data availability attacks against deep neural networks,

Reference 58

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This paper cites Stable unlearnable example: Enhancing the robustness of unlearnable examples via stable error-minimizing noise,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Stable unlearnable example: Enhancing the robustness of unlearnable examples via stable error-minimizing noise,

Reference 59

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Observation f9e590b8-0acf-448d-8c27-e926d7787acd · outbound

This paper cites Armor: Shielding unlearnable examples against data augmentation,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Armor: Shielding unlearnable examples against data augmentation,

Reference 60

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Observation 622dc5a3-d0ae-4bba-ba86-5e32b9ddaec8 · outbound

This paper cites Securing Biomedical Images from Unauthorized Training with Anti-Learning Perturbation.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Securing Biomedical Images from Unauthorized Training with Anti-Learning Perturbation

Reference 61

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Observation 67c46a55-b122-424a-bec4-424fc936a7cf · outbound

This paper cites Self-ensemble protection: Training checkpoints are good data protectors,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Self-ensemble protection: Training checkpoints are good data protectors,

Reference 62

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Observation ad5b9f58-7d74-486b-b9db-b8d4f1b68fdb · outbound

This paper cites Neural tangent generalization at- tacks,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Neural tangent generalization at- tacks,

Reference 63

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Observation bb359e0a-cf1b-4190-8f55-f62bc63f237d · outbound

This paper cites Is adversarial training really a silver bullet for mitigating data poisoning?.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Is adversarial training really a silver bullet for mitigating data poisoning?

Reference 64

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Observation 3ff5de3c-a4a4-4073-8133-e8a04efd0416 · outbound

This paper cites Semantic deep hiding for robust unlearnable examples,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Semantic deep hiding for robust unlearnable examples,

Reference 65

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Observation 4115109c-5115-4304-8f16-f67eccb616db · outbound

This paper cites Why do unlearnable examples work: A novel perspective of mutual information,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Why do unlearnable examples work: A novel perspective of mutual information,

Reference 66

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Observation 5590926e-1fb8-422b-aaae-116d99f6acc5 · outbound

This paper cites Transferable unlearnable examples,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Transferable unlearnable examples,

Reference 67

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Observation b506df2d-fa29-4305-a6de-3e166b793dce · outbound

This paper cites Efficient availability attacks against supervised and contrastive learning simultaneously,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Efficient availability attacks against supervised and contrastive learning simultaneously,

Reference 68

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Observation 8759951d-beda-45e7-8d03-7152fd80ed3a · outbound

This paper cites Unlearnable clusters: Towards label-agnostic unlearnable exam- ples,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Unlearnable clusters: Towards label-agnostic unlearnable exam- ples,

Reference 69

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Observation 6ee591e2-0fa7-4d6e-b4fa-305a027eef63 · outbound

This paper cites One for all: A universal generator for concept unlearnability via multi-modal alignment,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle One for all: A universal generator for concept unlearnability via multi-modal alignment,

Reference 70

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Observation 9121c4f5-f985-4422-bf5c-888184f70339 · outbound

This paper cites Multimodal unlearn- able examples: Protecting data against multimodal contrastive learning,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Multimodal unlearn- able examples: Protecting data against multimodal contrastive learning,

Reference 71

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Observation 51bdc760-88c7-416d-8456-126f6cf62bbe · outbound

This paper cites Unseg: One universal unlearnable example generator is enough against all image segmentation,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Unseg: One universal unlearnable example generator is enough against all image segmentation,

Reference 72

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Observation 0f1cab8e-3236-41dd-a68d-430789851435 · outbound

This paper cites T2ue: Generating unlearnable examples from text descriptions,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle T2ue: Generating unlearnable examples from text descriptions,

Reference 73

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Observation ba2bba7a-bca3-4d8c-8af9-a812a342fe4b · outbound

This paper cites Versatile transferable unlearnable example generator,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Versatile transferable unlearnable example generator,

Reference 74

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Observation aa3fe5cb-9d7f-45f8-b01a-7a8e979fd882 · outbound

This paper cites Game-theoretic unlearnable example generator,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Game-theoretic unlearnable example generator,

Reference 75

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Observation 9b9da51e-20c9-496b-b679-f5180dbc07c2 · outbound

This paper cites When priors backfire: On the vulnerability of unlearnable ex- amples to pretraining,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle When priors backfire: On the vulnerability of unlearnable ex- amples to pretraining,

Reference 76

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This paper cites Provably unlearnable data examples,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Provably unlearnable data examples,

Reference 77

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Observation 274aa1af-12ae-4a08-b60f-733a9b7eba70 · outbound

This paper cites Segue: side-information guided generative unlearnable examples for facial privacy protection in real world,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Segue: side-information guided generative unlearnable examples for facial privacy protection in real world,

Reference 78

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Observation fa4eada4-f0dc-4d99-918f-8895e087181e · outbound

This paper cites Availability attacks create shortcuts,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Availability attacks create shortcuts,

Reference 79

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Observation 2e74002c-29d7-4d6d-9d58-9a91bb8f0d75 · outbound

This paper cites Autoregressive perturbations for data poisoning,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Autoregressive perturbations for data poisoning,

Reference 80

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Observation 7f166d32-3187-41b1-ad7d-67ca6fdcce27 · outbound

This paper cites One-pixel shortcut: On the learning preference of deep neural networks,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle One-pixel shortcut: On the learning preference of deep neural networks,

Reference 81

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Observation 3b729a52-cca2-4b67-9963-a3d27b5472ef · outbound

This paper cites Cuda: Convolution-based unlearnable datasets,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Cuda: Convolution-based unlearnable datasets,

Reference 82

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Observation 862057d9-5604-4b68-a198-e4efc5686c21 · outbound

This paper cites Leverag- ing imperfect restoration for data availability attack,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Leverag- ing imperfect restoration for data availability attack,

Reference 83

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Observation 8ad3e822-0f32-432a-bdda-6d044909c622 · outbound

This paper cites K-space bispectrum steganography for robust unlearnable data,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle K-space bispectrum steganography for robust unlearnable data,

Reference 84

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Observation 4612335e-ea18-4a0f-93bc-ba8fe6c331bd · outbound

This paper cites Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations

Reference 85

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Observation 633a7c53-6306-47e7-a190-c3e04228e121 · outbound

This paper cites Temporal unlearnable examples: Preventing personal video data from unauthorized exploitation by object tracking,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Temporal unlearnable examples: Preventing personal video data from unauthorized exploitation by object tracking,

Reference 86

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Observation 13b2adcf-91db-47ff-8f3c-5bffe83d75e3 · outbound

This paper cites Adversarial example does good: preventing paint- ing imitation from diffusion models via adversarial examples,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Adversarial example does good: preventing paint- ing imitation from diffusion models via adversarial examples,

Reference 87

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

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Glaze: Protecting artists from style mimicry by{Text- to-Image}models,

Reference 88

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Observation 5f6757e9-4228-4596-a3b0-a79a607ce9ac · outbound

This paper cites Nightshade: Prompt-specific poisoning attacks on text-to-image generative models,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Nightshade: Prompt-specific poisoning attacks on text-to-image generative models,

Reference 89

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Observation 02b70336-1b6b-4147-9cc8-322a7a063077 · outbound

This paper cites Toward effective protec- tion against diffusion-based mimicry through score distillation,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Toward effective protec- tion against diffusion-based mimicry through score distillation,

Reference 90

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Observation b4292016-ecda-4312-8a3f-092ea597cdd8 · outbound

This paper cites Styleguard: Pre- venting text-to-image-model-based style mimicry attacks by style perturbations,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Styleguard: Pre- venting text-to-image-model-based style mimicry attacks by style perturbations,

Reference 91

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Observation 89b5fecb-d524-4f0d-ae0c-2f8cd864c0de · outbound

This paper cites Styleprotect: Safeguarding artistic identity in finetuned diffusion models,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Styleprotect: Safeguarding artistic identity in finetuned diffusion models,

Reference 92

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Observation 00b7d90a-f31f-42a1-babb-dfb196beee51 · outbound

This paper cites Nearly zero-cost protection against mimicry by personalized diffusion models,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Nearly zero-cost protection against mimicry by personalized diffusion models,

Reference 93

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Observation e4383f1c-81f1-484d-8f01-0d26fd022537 · outbound

This paper cites Anti-dreambooth: Protecting users from personalized text-to-image synthesis,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Anti-dreambooth: Protecting users from personalized text-to-image synthesis,

Reference 94

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Observation 16ed9a63-d13a-4a36-93f1-02f71098bdfd · outbound

This paper cites Countering personalized text-to- image generation with influence watermarks,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Countering personalized text-to- image generation with influence watermarks,

Reference 95

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Observation 07a47c37-4ba7-4efc-a39a-43c63477765f · outbound

This paper cites Metacloak: Preventing unauthorized subject-driven text-to-image diffusion- based synthesis via meta-learning,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Metacloak: Preventing unauthorized subject-driven text-to-image diffusion- based synthesis via meta-learning,

Reference 96

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Observation 8435c277-583f-4e05-a162-a2f63af22ab6 · outbound

This paper cites An h-space based adversarial attack for protection against few-shot person- alization,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle An h-space based adversarial attack for protection against few-shot person- alization,

Reference 97

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Observation 2b9b9ee1-629b-4083-a9bb-4930977cfdba · outbound

This paper cites Harness- ing global-local collaborative adversarial perturbation for anti- customization,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Harness- ing global-local collaborative adversarial perturbation for anti- customization,

Reference 98

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Observation 46b7b746-9c85-45b3-b8a7-dc08b1f706e8 · outbound

This paper cites Dis- rupting diffusion: Token-level attention erasure attack against diffusion-based customization,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Dis- rupting diffusion: Token-level attention erasure attack against diffusion-based customization,

Reference 99

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Observation 1fe341dd-bb91-43e9-9448-ae1e45e977c8 · outbound

This paper cites Targeted attack improves protec- tion against unauthorized diffusion customization,.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Targeted attack improves protec- tion against unauthorized diffusion customization,

Reference 100

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