ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models | Paper Citation Record

Observation 14c97e2a-ab6c-40c8-961e-7bc7b287983a · outbound

This paper cites Robust face recognition via multimodal deep face representation,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Robust face recognition via multimodal deep face representation,

Reference 1

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Observation d5639b24-9bd2-4128-8157-5d29d61f7e93 · outbound

This paper cites Dynamic training data dropout for robust deep face recognition,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Dynamic training data dropout for robust deep face recognition,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:54:17.387939Z

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Observation 79c0feb9-b482-4dfc-a9f1-c4c8fd164d07 · outbound

This paper cites Face recognition and retrieval using cross-age reference coding with cross-age celebrity dataset,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Face recognition and retrieval using cross-age reference coding with cross-age celebrity dataset,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:54:17.374672Z

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Observation e78e207d-b30a-4b07-8ef0-a8d66cb69c5f · outbound

This paper cites Collabo- rative face recognition for improved face annotation in personal photo collections shared on online social networks,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Collabo- rative face recognition for improved face annotation in personal photo collections shared on online social networks,

Reference 4

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Observation 86c9ced1-eb3c-4c46-bb5a-3763ebfda7cf · outbound

This paper cites Pixel privacy. increasing image appeal while blocking automatic inference of sensitive scene information,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Pixel privacy. increasing image appeal while blocking automatic inference of sensitive scene information,

Reference 5

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Observation 27f1922f-10d6-4695-936b-36bfcd7221b7 · outbound

This paper cites Advfaces: Adversarial face synthesis,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Advfaces: Adversarial face synthesis,

Reference 6

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Observation a7d7c3f2-34b2-422e-8d4c-b198751bb3fa · outbound

This paper cites Advhat: Real-world adversarial attack on arcface face id system,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Advhat: Real-world adversarial attack on arcface face id system,

Reference 7

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Observation 31cf5e6f-db0d-4d4b-be32-6734ed781947 · outbound

This paper cites Efficient decision-based black-box adversarial attacks on face recognition,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Efficient decision-based black-box adversarial attacks on face recognition,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:54:17.305845Z

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Observation 155b3c3e-12e1-4c5a-abc1-02be839f3c2e · outbound

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

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:54:17.292588Z

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Observation e6af513b-f6c8-47a3-829d-d6e56dccc381 · outbound

This paper cites Attacks on state-of-the-art face recogni- tion using attentional adversarial attack generative network,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Attacks on state-of-the-art face recogni- tion using attentional adversarial attack generative network,

Reference 10

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Observation 805f8772-deaa-403d-b96f-94057886664c · outbound

This paper cites Semanticadv: Gen- erating adversarial examples via attribute-conditioned image editing,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Semanticadv: Gen- erating adversarial examples via attribute-conditioned image editing,

Reference 11

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Observation e0a7c8cc-7d43-4bc2-ac61-734f8d1433f8 · outbound

This paper cites Adv-attribute: Inconspicuous and transferable adversarial attack on face recognition,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Adv-attribute: Inconspicuous and transferable adversarial attack on face recognition,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:54:17.251837Z

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Observation bde66346-1381-4742-aa23-c20404b82533 · outbound

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

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Pro- tecting facial privacy: Generating adversarial identity masks via style- robust makeup transfer,

Reference 13

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Observation d95d6f68-59f3-4011-a863-d6cfc05acc57 · outbound

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

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Clip2protect: Protecting facial privacy using text-guided makeup via adversarial latent search,

Reference 14

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Observation 6beecac3-298d-4430-8a68-71529ca8d1c0 · outbound

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

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Adv-diffusion: imperceptible adversarial face identity attack via latent diffusion model,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:54:17.211154Z

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Observation b1e640a2-11d7-4e8d-a71c-641dbcdce2aa · outbound

This paper cites Towards transferable attack via adversarial diffusion in face recognition,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Towards transferable attack via adversarial diffusion in face recognition,

Reference 16

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Observation ac04f74e-26e2-4ae7-811e-5ad3eaa2db16 · outbound

This paper cites Adv-makeup: A new imperceptible and transferable attack on face recognition,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Adv-makeup: A new imperceptible and transferable attack on face recognition,

Reference 17

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Observation fd7dedbe-0daf-4e5f-9938-0d144ed06cc5 · outbound

This paper cites A black-box reversible adver- sarial example for authorizable recognition to shared images,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models A black-box reversible adver- sarial example for authorizable recognition to shared images,

Reference 18

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Observation ef9cab87-c69a-42ff-9926-5c3d52c84fdc · outbound

This paper cites Unautho- rized ai cannot recognize me: Reversible adversarial example,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Unautho- rized ai cannot recognize me: Reversible adversarial example,

Reference 19

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Observation c1bae238-fd75-4354-b606-1154259a4d37 · outbound

This paper cites Self-recoverable adversarial examples: A new effective protection mechanism in social networks,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Self-recoverable adversarial examples: A new effective protection mechanism in social networks,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:54:17.139184Z

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Observation 63a7f34c-99db-4fa0-b5c9-3dd50bc0c017 · outbound

This paper cites Reversible gender privacy enhancement via adversarial perturbations,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Reversible gender privacy enhancement via adversarial perturbations,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:54:17.125165Z

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Observation 006f7829-afc9-4f8f-b9e8-e31008bc9f01 · outbound

This paper cites Reversible attack based on adversarial perturbation and reversible data hiding in yuv colorspace,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Reversible attack based on adversarial perturbation and reversible data hiding in yuv colorspace,

Reference 22

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Observation 8b7b03e7-d62d-4c52-8640-9751dec9e80c · outbound

This paper cites Self-supervised generalisation with meta auxiliary learning,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Self-supervised generalisation with meta auxiliary learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:54:17.097875Z

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Observation 450e0c17-476c-4a67-b677-117a52621aa7 · outbound

This paper cites Joint data- task generation for auxiliary learning,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Joint data- task generation for auxiliary learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:54:17.084327Z

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Observation f7232242-3ae8-4f4f-9869-0eaeaadbee3a · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Model-agnostic meta-learning for fast adaptation of deep networks,

Reference 25

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Observation f1114c17-6e8d-4835-bb36-eb25d0cb6241 · outbound

This paper cites Regularized fine-grained meta face anti-spoofing,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Regularized fine-grained meta face anti-spoofing,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:54:17.061953Z

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Observation 4ed4e08a-ab51-4623-9b83-e8bcd7362f04 · outbound

This paper cites Mbrs: Enhancing robustness of dnn- based watermarking by mini-batch of real and simulated jpeg com- pression,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Mbrs: Enhancing robustness of dnn- based watermarking by mini-batch of real and simulated jpeg com- pression,

Reference 27

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Observation 14180b53-a5c3-46f5-b985-edadd6004407 · outbound

This paper cites A survey on curriculum learning,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models A survey on curriculum learning,

Reference 28

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Observation 5d689bc0-8179-4278-a914-5eb9589a4576 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Explaining and Harnessing Adversarial Examples

Reference 29

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Observation 7a83d7f8-f311-4edd-b5ab-8df4f1b14429 · outbound

This paper cites Towards deep learning models resistant to adversarial attacks,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Towards deep learning models resistant to adversarial attacks,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:54:17.026237Z

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Observation 297aad9f-fd30-481a-bee2-aac0601f94ef · outbound

This paper cites Sibling- attack: Rethinking transferable adversarial attacks against face recogni- tion,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Sibling- attack: Rethinking transferable adversarial attacks against face recogni- tion,

Reference 31

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Observation 39777f9f-1a93-4050-bbfc-3c5ce116cf5b · outbound

This paper cites Discrete point-wise attack is not enough: Generalized manifold adversarial attack for face recognition,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Discrete point-wise attack is not enough: Generalized manifold adversarial attack for face recognition,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:54:16.998025Z

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Observation 6be9fb70-dcd0-4958-a3d5-9e5a72feade9 · outbound

This paper cites Boosting adversarial attacks with momentum,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Boosting adversarial attacks with momentum,

Reference 33

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Observation a2967dbd-90f9-449e-b30b-ed71800a6a68 · outbound

This paper cites Improving transferability of adversarial patches on face recognition with generative models,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Improving transferability of adversarial patches on face recognition with generative models,

Reference 34

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Observation 4e71fda1-6fff-494b-8838-0c6e854bab81 · outbound

This paper cites Towards face encryption by generating adversarial identity masks,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Towards face encryption by generating adversarial identity masks,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:54:16.961052Z

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Observation 5f8b0d4c-29c7-469c-af7c-7b7f170b6df9 · outbound

This paper cites Towards transferable adversarial attack against deep face recognition,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Towards transferable adversarial attack against deep face recognition,

Reference 36

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This paper cites Towards evaluating the robustness of neural networks,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Towards evaluating the robustness of neural networks,

Reference 37

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Observation c974fb7b-8f4e-4b8d-bb26-a7b863300a30 · outbound

This paper cites Simultaneously optimizing perturbations and positions for black-box adversarial patch attacks,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Simultaneously optimizing perturbations and positions for black-box adversarial patch attacks,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:54:16.928812Z

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Observation bf4514aa-c446-468e-9d01-0f3c569f8eb7 · outbound

This paper cites Transferable Adversarial Facial Images for Privacy Protection.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Transferable Adversarial Facial Images for Privacy Protection

Reference 39

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Observation 322f80b9-e4d5-485b-b60d-557423db9a8e · outbound

This paper cites Attgan: Facial attribute editing by only changing what you want,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Attgan: Facial attribute editing by only changing what you want,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:54:16.913786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1c2d3031-7d4d-49e7-a5b7-d641f3c0e9fc · outbound

This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 41

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Observation 7c779c38-f184-49ff-98ca-657fd9c19df3 · outbound

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

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models A style-based generator architecture for generative adversarial networks,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T05:54:16.528552Z

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Observation f4f8a80d-b9aa-42e7-81ee-8e23e20f66e6 · outbound

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

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Joint face detection and alignment using multitask cascaded convolutional networks,

Reference 43

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Observation 88b810bc-4e55-4b8c-acb5-e48911160718 · outbound

This paper cites Deep residual learning for image recognition,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Deep residual learning for image recognition,

Reference 44

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Observation 1d1a53f9-e522-49b2-a3cc-f106b4e76689 · outbound

This paper cites Squeeze-and-excitation networks,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Squeeze-and-excitation networks,

Reference 45

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Observation 27994f74-4217-4ee7-bb93-2d266471e59f · outbound

This paper cites Facenet: A unified embed- ding for face recognition and clustering,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Facenet: A unified embed- ding for face recognition and clustering,

Reference 46

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Observation a76b78a8-975a-4a69-a658-b6e7ea60caeb · outbound

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

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Arcface: Additive angular margin loss for deep face recognition,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T05:54:16.548881Z

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Observation 7f59c9be-7398-4851-b2d4-b26d655f386b · outbound

This paper cites Improved residual networks for image and video recognition,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Improved residual networks for image and video recognition,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:54:16.748966Z

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Observation 5a832cf0-92c1-4fef-84bc-64f9d6ed3a36 · outbound

This paper cites Cosface: Large margin cosine loss for deep face recognition,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Cosface: Large margin cosine loss for deep face recognition,

Reference 49

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Observation c5f5f2eb-7694-486c-8de5-a8c90dd73101 · outbound

This paper cites In https://www.faceplusplus.com.cn/,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models In https://www.faceplusplus.com.cn/,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:54:16.725671Z

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Observation f7bf8a4e-be7e-44e3-8bd0-3e39a035f126 · outbound

This paper cites Cloud, https://cloud.tencent.com/document/product/867.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Cloud, https://cloud.tencent.com/document/product/867

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:54:16.712266Z

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Observation 210764f7-6ae4-4156-9d20-2475bc4b275e · outbound

This paper cites https://cn.aliyun.com/,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models https://cn.aliyun.com/,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:54:16.698287Z

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Observation a9f0678c-21cb-4331-bb8c-2e5f276d415b · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 53

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Observation ea716f5a-c1bd-484b-8dd9-ea3548e4471e · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium,.

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Gans trained by a two time-scale update rule converge to a local nash equilibrium,

Reference 54

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Observation 10ac62ea-ada5-4943-9945-2fe231b1b505 · outbound

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

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models The unreasonable effectiveness of deep features as a perceptual metric,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T05:54:16.582388Z

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