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Paper Citation Record · LEDGER

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection

As of 12 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2608.04559.

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

pith.paper-citation-record.v1
2608.04559 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:16:45.187332Z

measured 41 of 41 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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Reference resolution

41 of 41 outbound references displayed

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Outbound references

Observation 8ae614c3-3342-47d0-9587-185e28eb4224 · outbound

This paper cites Intriguing properties of neural networks,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Intriguing properties of neural networks,

Reference 1

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Observation a64adbb9-688e-4dd6-a1e6-c11c18f17bae · outbound

This paper cites Explaining and harnessing adversarial examples,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Explaining and harnessing adversarial examples,

Reference 2

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Observation a6da3329-39dc-4761-b725-b1923cff2148 · outbound

This paper cites Position guided dynamic receptive field network: A small object detection friendly to optical and sar images,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Position guided dynamic receptive field network: A small object detection friendly to optical and sar images,

Reference 3

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Observation 4c101e82-80c2-47b5-bc2c-4e1fad82a7ce · outbound

This paper cites Fldet: Faster and lighter aerial object detector,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Fldet: Faster and lighter aerial object detector,

Reference 4

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source=pdf_text observed=2026-08-11T04:16:45.060272Z digest=sha256:0aacf623bb48531bc3c15252e172a78598d9dde09ffaf811d53dcb3dd63c352f

Observation 8e4f033b-0976-46b8-9ccb-58426b2e3494 · outbound

This paper cites Fooling automated surveil- lance cameras: Adversarial patches to attack person detection,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Fooling automated surveil- lance cameras: Adversarial patches to attack person detection,

Reference 5

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source=pdf_text observed=2026-08-11T04:16:45.064031Z digest=sha256:5f522051f94ecafa578981b890466b3f3e4f07771e095a8b8d3918e7a2dd0e3b

Observation 489510a1-6c90-4520-b6e3-91d468fc0834 · outbound

This paper cites Adversarial Patch.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Adversarial Patch

Reference 6

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source=pdf_text observed=2026-08-11T04:16:45.067571Z digest=sha256:4bb6fb52e9dad3c7c5cc68ce8d5b1398d896a33bb76ba005d388f1851036c88c

Observation 4ebdf849-0121-4c7f-854f-970b096ba077 · outbound

This paper cites A unified framework for adversarial patch attacks against visual 3d object detection in autonomous driving,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection A unified framework for adversarial patch attacks against visual 3d object detection in autonomous driving,

Reference 7

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Observation 51808ca3-896c-4a0d-9551-05ff8e5876a9 · outbound

This paper cites Dual attention suppression attack: Generate adversarial camouflage in physical world,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Dual attention suppression attack: Generate adversarial camouflage in physical world,

Reference 8

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source=pdf_text observed=2026-08-11T04:16:45.075853Z digest=sha256:18c0ea9a71961f27dc716ffc9536947f87065a9d1f0b5d56bacb523ba0db6f0c

Observation 17c81535-95c2-4f75-a8a3-3080408f92cc · outbound

This paper cites Fca: Learning a 3d full-coverage vehicle camouflage for multi-view physical adversarial attack,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Fca: Learning a 3d full-coverage vehicle camouflage for multi-view physical adversarial attack,

Reference 9

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source=pdf_text observed=2026-08-11T04:16:45.079209Z digest=sha256:59087e441680ed1269b6335954c4d59b23b455e7ec15585c62f12365158da95f

Observation f286a72d-2f1d-42db-8cb3-f8ba907b36e1 · outbound

This paper cites Naturalistic physical adversarial camouflage for object detection via differentiable rendering and style learning,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Naturalistic physical adversarial camouflage for object detection via differentiable rendering and style learning,

Reference 10

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source=pdf_text observed=2026-08-11T04:16:45.082529Z digest=sha256:9d0aee4e714b1bb7a6accb80a1ff1ebfb1082925446f78a5416d68725856ccee

Observation d9fdda46-5f68-4c12-affd-7043f29292d3 · outbound

This paper cites Practical black-box attacks against machine learning,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Practical black-box attacks against machine learning,

Reference 11

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source=pdf_text observed=2026-08-11T04:16:45.085721Z digest=sha256:af0292d89115776857cba976db1f81342eaf7865eee25839d8014469401b741c

Observation 55f787a4-fd8a-4f87-918f-41cf0db0b926 · outbound

This paper cites One pixel attack for fooling deep neural networks,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection One pixel attack for fooling deep neural networks,

Reference 12

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source=pdf_text observed=2026-08-11T04:16:45.089068Z digest=sha256:4ef08f891ff80b194cc6ce3865f0d71c871fc90b5b2a60dd63a069ad0d9f3967

Observation 55294ec7-da45-41a6-9df1-d0444e115459 · outbound

This paper cites Rfla: A stealthy reflected light adversarial attack in the physical world,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Rfla: A stealthy reflected light adversarial attack in the physical world,

Reference 13

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source=pdf_text observed=2026-08-11T04:16:45.093055Z digest=sha256:11248c2a6fcbd1d352563d08070baaf3a99520b2bfa04183137aa604f717a014

Observation 6f895c22-b8f7-4e1c-bd3f-98bdd577b026 · outbound

This paper cites Black-box adversarial patch attacks using differential evolution against aerial imagery object detectors,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Black-box adversarial patch attacks using differential evolution against aerial imagery object detectors,

Reference 14

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source=pdf_text observed=2026-08-11T04:16:45.096339Z digest=sha256:c71d748a4220a40ed555bab9003e64a5b8a68169c3e911aec7492a59cea764a7

Observation 01300662-de7b-4558-9eaf-ce8865b28620 · outbound

This paper cites Lesep: Boosting adversarial transferability via latent encoding and semantic embedding perturbations,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Lesep: Boosting adversarial transferability via latent encoding and semantic embedding perturbations,

Reference 15

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Observation 44489d89-4674-4e6c-ad20-8fb851e67b36 · outbound

This paper cites Query efficient black- box adversarial attack on deep neural networks,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Query efficient black- box adversarial attack on deep neural networks,

Reference 16

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Observation 86748dd0-6d05-494a-a95d-c349b64d345b · outbound

This paper cites Zoo: Zeroth order optimization based black-box attacks to deep neural networks without training substitute models,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Zoo: Zeroth order optimization based black-box attacks to deep neural networks without training substitute models,

Reference 17

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Observation 015f064d-4419-427a-8dbc-fff77860f7fc · outbound

This paper cites Genattack: practical black-box attacks with gradient- free optimization,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Genattack: practical black-box attacks with gradient- free optimization,

Reference 18

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Observation 4925f872-23e8-41ed-b7ad-308394e6448e · outbound

This paper cites Pso-based closed box adversarial patch attack against face recognition,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Pso-based closed box adversarial patch attack against face recognition,

Reference 19

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Observation f950d7ee-7512-48e4-8e9f-efb84ad940e5 · outbound

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

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Simultaneously optimizing perturbations and positions for black-box adversarial patch attacks,

Reference 20

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Observation 402579c9-95ab-4da6-bd6b-d8c803d50214 · outbound

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

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition,

Reference 21

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Observation 9b77bdb0-e949-474a-8334-682cd32ef34d · outbound

This paper cites A general framework for adversarial examples with objectives,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection A general framework for adversarial examples with objectives,

Reference 22

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Observation fd6919d0-7b10-4c99-beea-fef2e8179bac · outbound

This paper cites Adversarial sticker: A stealthy attack method in the physical world,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Adversarial sticker: A stealthy attack method in the physical world,

Reference 23

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Observation a2aee7b1-c8bb-47f0-b6b5-7f283c92f194 · outbound

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

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Facenet: A unified embed- ding for face recognition and clustering,

Reference 24

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Observation 581bdcb8-a1e7-4836-b559-4d0f7b3e6bb7 · outbound

This paper cites Yolo9000: Better, faster, stronger,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Yolo9000: Better, faster, stronger,

Reference 25

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Observation d39362be-6fd8-4df1-8ddd-b94f8530c977 · outbound

This paper cites Adversarial t-shirt! evading person detectors in a physical world,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Adversarial t-shirt! evading person detectors in a physical world,

Reference 26

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Observation 52aa873a-9117-4f5e-bc6d-5bb119d4d05f · outbound

This paper cites Shapeshifter: Robust physical adversarial attack on faster r-cnn object detector,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Shapeshifter: Robust physical adversarial attack on faster r-cnn object detector,

Reference 27

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Observation 34f9fc8c-d10d-47da-89c2-17593ea806c3 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 28

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Observation 39bbad2d-d833-4363-ba11-10bb65d646ba · outbound

This paper cites Generative adversarial nets,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Generative adversarial nets,

Reference 29

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Observation 12b8f5c7-0531-4457-92ca-88bdf7f7e1a8 · outbound

This paper cites Tnt attacks! universal naturalistic adversarial patches against deep neural network systems,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Tnt attacks! universal naturalistic adversarial patches against deep neural network systems,

Reference 30

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Observation 17bd6729-fdbd-4e57-affd-43439bec9869 · outbound

This paper cites Distillation-Enhanced Physical Adversarial Attacks.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Distillation-Enhanced Physical Adversarial Attacks

Reference 31

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Observation 083dbb43-9548-4de8-9dfe-84f523b0b5e6 · outbound

This paper cites Adversarial camouflage: Hiding physical-world attacks with natural styles,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Adversarial camouflage: Hiding physical-world attacks with natural styles,

Reference 32

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Observation 3854df9d-0230-4a1f-88d1-8d3369fa01a8 · outbound

This paper cites Wasserstein generative adver- sarial networks,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Wasserstein generative adver- sarial networks,

Reference 33

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Observation 04969073-c867-4a4f-b10a-76202cddab32 · outbound

This paper cites Generating natural adversarial remote sensing images,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Generating natural adversarial remote sensing images,

Reference 34

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Observation 8c018a4d-575f-4154-927a-19aa23384743 · outbound

This paper cites Universal adversarial examples in remote sensing: Methodology and benchmark,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Universal adversarial examples in remote sensing: Methodology and benchmark,

Reference 35

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Observation 171a374f-31b2-4964-8b34-fd525d0101a7 · outbound

This paper cites Dempaa: Deployable multi-mini-patch adversarial attack for remote sensing image classification,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Dempaa: Deployable multi-mini-patch adversarial attack for remote sensing image classification,

Reference 36

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Observation b79c5fc1-98d4-4a77-969c-2b533756a37a · outbound

This paper cites Adversarial patch attack on multi-scale object detection for uav remote sensing images,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Adversarial patch attack on multi-scale object detection for uav remote sensing images,

Reference 37

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Observation 0bea6e22-eb02-4376-8ffe-b3899ed47307 · outbound

This paper cites Benchmarking adversarial patch against aerial detection,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Benchmarking adversarial patch against aerial detection,

Reference 38

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Observation 55d61d2e-82c8-46a1-b12c-670979ae3a11 · outbound

This paper cites Threatening patch attacks on object detection in optical remote sensing images,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Threatening patch attacks on object detection in optical remote sensing images,

Reference 39

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Observation 14bc2fcf-3c0a-4055-84f7-3beaa2877bb3 · outbound

This paper cites Object detection in optical remote sensing images: A survey and a new benchmark,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Object detection in optical remote sensing images: A survey and a new benchmark,

Reference 40

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Observation 808d6845-53a3-4480-9b65-e1854b96a066 · outbound

This paper cites Fooling aerial detectors by background attack via dual-adversarial-induced error identification,.

ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection Fooling aerial detectors by background attack via dual-adversarial-induced error identification,

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-11T04:16:45.236661Z

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Pith citing papers

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