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Paper Citation Record · LEDGER

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation

As of 8 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2507.01367.

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

pith.paper-citation-record.v1
2507.01367 v2

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:58:55.838314Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

66 of 66 outbound references displayed

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  • verified fuzzy43
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eb2563c7-9326-4cdd-8872-616b0f139ec5 · outbound

This paper cites Synthesizing robust adversarial examples.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Synthesizing robust adversarial examples

Reference 1

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Source-reported events for the cited work

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Observation cfce588c-37cd-4398-9bea-70a4ac4b45b4 · outbound

This paper cites Adversarial Patch.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Adversarial Patch

Reference 2

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Observation 8d0541b1-32c8-490e-88bb-e26e43717899 · outbound

This paper cites You can’t see me: Physical removal attacks on {lidar-based} au- tonomous vehicles driving frameworks.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation You can’t see me: Physical removal attacks on {lidar-based} au- tonomous vehicles driving frameworks

Reference 3

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Source-reported events for the cited work

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Observation 11c16276-b159-44ad-a059-e94f13315d13 · outbound

This paper cites Towards evaluating the robustness of neural networks.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Towards evaluating the robustness of neural networks

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 620b2503-bef6-4ba0-8dda-06b0a3819529 · outbound

This paper cites An analysis of adversarial attacks and defenses on autonomous driving models.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation An analysis of adversarial attacks and defenses on autonomous driving models

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 3817693d-b51c-4ee3-a22d-52d1018d1163 · outbound

This paper cites Carla: An open urban driv- ing simulator.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Carla: An open urban driv- ing simulator

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation face7246-ea1f-4059-94ae-a1868ff68092 · outbound

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

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Adversarial camouflage: Hiding physical-world attacks with natural styles

Reference 7

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Source-reported events for the cited work

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Observation 097e3194-dece-4759-994d-9421aa214b1e · outbound

This paper cites Robust physical-world attacks on deep learning visual classification.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Robust physical-world attacks on deep learning visual classification

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6abccf57-dcbe-437e-99d0-a0099a6659f2 · outbound

This paper cites Advances in deep concealed scene understanding.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Advances in deep concealed scene understanding

Reference 9

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c5bdb6ac-d332-4d4b-91bc-53ac19934f94 · outbound

This paper cites Meta-attack: Class-agnostic and model-agnostic physical adversarial attack.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Meta-attack: Class-agnostic and model-agnostic physical adversarial attack

Reference 10

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Source-reported events for the cited work

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Observation 38c1d6b7-c651-4983-ac5e-e298d3807d7b · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Explaining and Harnessing Adversarial Examples

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ba4dca7d-03d2-4f73-9672-5db97a78d327 · outbound

This paper cites A Survey on Transferability of Adversarial Examples across Deep Neural Networks.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation A Survey on Transferability of Adversarial Examples across Deep Neural Networks

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d44ef1b0-bc09-4abb-b2d0-5559556b0365 · outbound

This paper cites Sugar: Surface- aligned gaussian splatting for efficient 3d mesh reconstruc- tion and high-quality mesh rendering.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Sugar: Surface- aligned gaussian splatting for efficient 3d mesh reconstruc- tion and high-quality mesh rendering

Reference 13

Resolution
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Source-reported events for the cited work

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Observation c8b2b427-d07f-4e5e-81f0-029aa1f6da79 · outbound

This paper cites Generating transferable 3d adversarial point cloud via random perturbation factoriza- tion.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Generating transferable 3d adversarial point cloud via random perturbation factoriza- tion

Reference 14

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Source-reported events for the cited work

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Observation 3b3d68c6-27a1-4ed8-be91-4e5e2d318a64 · outbound

This paper cites Deep residual learning for image recognition.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Deep residual learning for image recognition

Reference 15

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Source-reported events for the cited work

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Observation 64c8fdb1-6bc3-44ab-b1f7-58035b7f6237 · outbound

This paper cites Mask r-cnn.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Mask r-cnn

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ceaaf89d-61ff-47b4-82df-28eb780ba70b · outbound

This paper cites Nat- uralistic physical adversarial patch for object detectors.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Nat- uralistic physical adversarial patch for object detectors

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9db8933b-ddcd-4fa0-a513-c2e90a243016 · outbound

This paper cites Adversarial texture for fooling person detectors in the physical world.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Adversarial texture for fooling person detectors in the physical world

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c1668a89-34b5-440a-b262-bed7ef75fab6 · outbound

This paper cites Physically realizable natural- looking clothing textures evade person detectors via 3d mod- eling.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Physically realizable natural- looking clothing textures evade person detectors via 3d mod- eling

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5156a31a-6f32-4a43-8087-856fdd16f5f0 · outbound

This paper cites Universal physical camouflage attacks on object detectors.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Universal physical camouflage attacks on object detectors

Reference 20

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Source-reported events for the cited work

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Observation b92152e9-c82d-4e31-aa47-5f5153244150 · outbound

This paper cites Towards transferable targeted 3d adversarial attack in the physical world.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Towards transferable targeted 3d adversarial attack in the physical world

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a62f6e01-bac7-4c0e-83c2-1bc7c1f796cc · outbound

This paper cites Adv-watermark: A novel watermark perturbation for adversarial examples.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Adv-watermark: A novel watermark perturbation for adversarial examples

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a834a0ac-70ae-4cef-a41d-18ba4bae0707 · outbound

This paper cites Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a035745a-d293-41b7-8b98-5a9cef997ecb · outbound

This paper cites Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment

Reference 24

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Source-reported events for the cited work

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Observation 2bc0b7e5-4add-48c5-9119-7a03f380f3db · outbound

This paper cites Neu- ral 3d mesh renderer.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Neu- ral 3d mesh renderer

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0fa02613-c192-4843-a89f-d2f1adb6d0b2 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation 3d gaussian splatting for real-time radiance field rendering

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5ca566c6-1aef-4863-99a4-a63838be0749 · outbound

This paper cites Segment any- thing.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Segment any- thing

Reference 27

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c041d535-f90d-41a8-92e6-ab07bc3261ff · outbound

This paper cites Environmental Matching Attack Against Unmanned Aerial Vehicles Object Detection.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Environmental Matching Attack Against Unmanned Aerial Vehicles Object Detection

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6c58b5e1-5af9-4e9a-8300-e9c279e06963 · outbound

This paper cites Patch is enough: naturalistic ad- versarial patch against vision-language pre-training models.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Patch is enough: naturalistic ad- versarial patch against vision-language pre-training models

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 78a2cb23-5d70-4c16-b2d5-825300987e60 · outbound

This paper cites Ad- versarial examples in the physical world.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Ad- versarial examples in the physical world

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c80c6df4-d158-4e01-a95f-1d195c0295df · outbound

This paper cites Adv3D: Generating 3D Adversarial Examples for 3D Object Detection in Driving Scenarios with NeRF.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Adv3D: Generating 3D Adversarial Examples for 3D Object Detection in Driving Scenarios with NeRF

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:58:56.167173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a8e9ab98-faa6-4985-973c-f4bb5fce8f6b · outbound

This paper cites Benchmarking adversarial patch against aerial detec- tion.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Benchmarking adversarial patch against aerial detec- tion

Reference 32

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raw_fallback, observed 2026-08-06T20:59:01.177802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:58:53.093028Z digest=sha256:36894e320b4cf5eed8aaffb241da13821af314eb5bdaf3588a9f4bd5dffd9168

Observation 068c7c73-afe8-4bb2-bda3-7cfa4d5334c5 · outbound

This paper cites Efficient adversarial attacks for visual object tracking.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Efficient adversarial attacks for visual object tracking

Reference 33

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6408049d-d738-4470-9b41-57d5d3d3c967 · outbound

This paper cites Gener- ate more imperceptible adversarial examples for object de- tection.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Gener- ate more imperceptible adversarial examples for object de- tection

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:00.994073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:58:53.288647Z digest=sha256:2fd29c3f994114e27d40dca4ed3207aa27709638c9c0f4e3316c4df30b682dc6

Observation 937b0701-1e56-4436-92b3-4bb901777a27 · outbound

This paper cites A large-scale multiple- objective method for black-box attack against object detec- tion.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation A large-scale multiple- objective method for black-box attack against object detec- tion

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:53.406455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:53.406455Z digest=sha256:066b257310e289a7b710288bcdd107e7083a220f57ec176cd48aebbcf75def4e

Observation 73e3c128-5646-46c5-9450-b62f35601e4c · outbound

This paper cites Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:53.490631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:53.490631Z digest=sha256:23ce3147ebb8930c8457ac41836546aa73ca6be3f88c40cde200482a18e8023d

Observation 85f56824-5984-48c4-a9ab-46bf95393ca6 · outbound

This paper cites Object Detectors in the Open Environment: Challenges, Solutions, and Outlook.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Object Detectors in the Open Environment: Challenges, Solutions, and Outlook

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:53.559629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:53.559629Z digest=sha256:d81103c6a06cc4ea5dec1c5fa13ec6130a18c88594bc329f30b178b583b925e8

Observation 250f6cf9-182a-4b5f-a5e1-c98979771f13 · outbound

This paper cites {X-Adv}: Physical adversarial object attacks against x-ray prohibited item detection.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation {X-Adv}: Physical adversarial object attacks against x-ray prohibited item detection

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:00.807801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:58:53.639437Z digest=sha256:5463e175a03660e4ffb93f7f650bf8af06049b4083bbd54c61c6f9ee71f38b7a

Observation 6f144017-b7db-48f6-a8dd-8c6ee16c4079 · outbound

This paper cites Hide in thicket: Generating imperceptible and rational adversarial perturbations on 3d point clouds.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Hide in thicket: Generating imperceptible and rational adversarial perturbations on 3d point clouds

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:00.658876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:58:53.705047Z digest=sha256:29e566bb269a62a9da99d1eb6d0eabb1d34ad75d0e2eb4253c9ff4eccf9435b1

Observation 37edd636-0e22-4818-8e19-1d488fe23e46 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:53.789657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:53.789657Z digest=sha256:345de4d59afeb799baca23e0b7deee869565f5dfbe7c02eb0a60dd4ece7cb0ba

Observation b6ea6a93-a656-4555-a500-3c23e50dd504 · outbound

This paper cites Universal adversarial perturba- tions.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Universal adversarial perturba- tions

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:00.491746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:58:53.852696Z digest=sha256:9b22625816d041dd81e6c3781604a8f21d0fc2683d00f75cbd6d9ff69fdf4739

Observation 6f5f7993-7819-45ab-9e65-2afd8c0c0a08 · outbound

This paper cites Adversarial instance attacks for interactions between human and object.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Adversarial instance attacks for interactions between human and object

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:00.277481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:58:53.905383Z digest=sha256:015c9b35b9416d2cce71dfa85e9e5e3254d83e720aa548db7e469c1817751630

Observation 53aa5e44-eadd-4eaf-bf79-a2ae4b031f3f · outbound

This paper cites Physical adversarial attacks for surveil- lance: A survey.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Physical adversarial attacks for surveil- lance: A survey

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:00.178907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:58:53.963023Z digest=sha256:49193fdb034bbcfd604d37b81cf0e3e6f48e12d59798a06e8d53e6022969666d

Observation 54a75ae4-c159-48b6-8412-62449a83f77a · outbound

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

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:54.019951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:54.019951Z digest=sha256:b0bca16a9fb6874befb39923acfbae5f50ed74014f0164971ad1ccb9279605d8

Observation f75cc9aa-fa11-4272-8414-b29f613dfd34 · outbound

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

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:58:59.972810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:58:54.069308Z digest=sha256:32da2f6f62e20dd172973a9485157855a35cde49d69e6fffe83be1d38370c819

Observation 76a54772-d6f4-4a33-987e-cb6096e33e4d · outbound

This paper cites Seitz, and Richard Szeliski.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Seitz, and Richard Szeliski

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:58:59.734385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:58:54.153856Z digest=sha256:deb544da7042b813bd267ad1b4caa03d1ea7ea3ea4d1c1b4c54079177d3368fc

Observation 5859695b-167a-4b3b-938d-80338edffd9a · outbound

This paper cites Physical adversarial examples for object detectors.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Physical adversarial examples for object detectors

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:58:59.505148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:58:54.226798Z digest=sha256:911a21c0855b642cac6cc7194b823a9ee5421f6f3567cfdb90e186e7ac89d0da

Observation 3222dbd8-5d24-4ebe-ad8b-53db6955aeeb · outbound

This paper cites Differential evolution based dual adversarial camouflage: Fooling human eyes and object detectors.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Differential evolution based dual adversarial camouflage: Fooling human eyes and object detectors

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:58:59.276753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:58:54.327799Z digest=sha256:41f1d91beb066073596fa5aac36a8e5090d4208f294a82cbd4f137a9c7b3d18c

Observation d5090c6a-8cd1-41cd-95c4-c074d849acd5 · outbound

This paper cites Dta: Physical camouflage attacks using differentiable transforma- tion network.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Dta: Physical camouflage attacks using differentiable transforma- tion network

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:58:59.144318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:58:54.409845Z digest=sha256:87c13d2359a807a292132f52dad24cf0768f1ee28baaad80c23140b142ba4c38

Observation 0676df10-a1ef-442a-adc6-0070a4c46b9f · outbound

This paper cites Active: Towards highly transferable 3d physical camouflage for universal and robust vehicle evasion.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Active: Towards highly transferable 3d physical camouflage for universal and robust vehicle evasion

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:58:58.970443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:58:54.488818Z digest=sha256:52df7f53c5ca4a0f6a55bd156d387e8d11c642b65e2e7f361fd2cfe4e5e8c6e5

Observation 6ecb08af-2c25-4a9c-899e-0224e82099fc · outbound

This paper cites Fooling automated surveillance cameras: adversarial patches to at- tack person detection.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Fooling automated surveillance cameras: adversarial patches to at- tack person detection

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:58:58.821581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:58:54.559668Z digest=sha256:2dacc288514ad1b45104075a6a75a8b1c940ce8e3be402d630fa3c1a76c48397

Observation c01c1246-19a8-4ab8-9b75-7811292047bb · outbound

This paper cites Attention is all you need.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Attention is all you need

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:54.675285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:54.675285Z digest=sha256:acb3a9d97050f5335f7e427f83f3f6d29d5bac56c06090e67798b093f2a8e127

Observation 0c9ead65-2326-4d6f-84ef-2cf18d6623c0 · outbound

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

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Fca: Learning a 3d full-coverage vehicle camouflage for multi-view physical adversarial attack

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:58:58.613770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:58:54.742753Z digest=sha256:8d1b36db618e64f1d50b2e19ef967d249c91b0d613000d614ef4cccde6bb63ce

Observation 0256bbfe-8bfd-4e41-93fd-87da9a8fbc30 · outbound

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

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Dual attention suppression attack: Generate adversarial camouflage in physical world

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:58:58.400061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:58:54.837822Z digest=sha256:f0235eef3ca2d55ad6ab191fed19ac9002dabb2cf59201089b946f818db76c8f

Observation 0ccbd5f2-0126-4f22-9f5a-b3ac024e7c30 · outbound

This paper cites Gener- ate transferable adversarial physical camouflages via triplet attention suppression.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Gener- ate transferable adversarial physical camouflages via triplet attention suppression

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:58:58.182503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:58:54.946324Z digest=sha256:da9354bba0f737b5a0c767c6611c10e9f73d8e8e32de9cde915018191f7e47e9

Observation 9f993a56-7989-4c97-9d52-93ef562cfde6 · outbound

This paper cites Does physical adversarial example really matter to autonomous driving? towards system-level effect of adversarial object evasion attack.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Does physical adversarial example really matter to autonomous driving? towards system-level effect of adversarial object evasion attack

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:58:57.986842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:58:55.009707Z digest=sha256:899b62712145d34edff9aa71f9c6d58e86d6d4d848d07c07be24cfdd6fdf697d

Observation 93f8949b-b024-4ceb-8c9f-f93d3ed137e3 · outbound

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

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Fooling aerial detectors by background attack via dual- adversarial-induced error identification

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:58:57.810816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:58:55.123094Z digest=sha256:f35c395915df94ff14d969872beb92fc6361374fb82375dd2ada8a1c17234ec4

Observation 272c6f80-0a01-4f11-b25d-8448d33e81a3 · outbound

This paper cites advpattern: Physical- world attacks on deep person re-identification via adversari- ally transformable patterns.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation advpattern: Physical- world attacks on deep person re-identification via adversari- ally transformable patterns

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:58:57.672589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:58:55.243622Z digest=sha256:bacef865fcdf3357b07ef6766b9eb7a616e2c0992a1185f8b115ea6cacff7bd9

Observation 8448d519-ab25-4e62-8cec-c70424c120dd · outbound

This paper cites Transferable Adversarial Attacks for Image and Video Object Detection.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Transferable Adversarial Attacks for Image and Video Object Detection

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:55.330527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:55.330527Z digest=sha256:6b8682adb91aa00f9a015b0161b9e4eb87ddb8bd81b10ddcbda464631ee5baf0

Observation e4a46693-abf6-4c7e-9eb8-707e1645098e · outbound

This paper cites Physical Adversarial Attack on Vehicle Detector in the Carla Simulator.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Physical Adversarial Attack on Vehicle Detector in the Carla Simulator

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:55.395480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:55.395480Z digest=sha256:2bc29d0e7744b683184787327af226d293d3db8c1ff8e488488721cd94235c38

Observation d81133a2-3432-4cb0-bd9a-4e7dcf1f9219 · outbound

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

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Adversarial t-shirt! evading person detectors in a physical world

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:58:57.503809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:58:55.498934Z digest=sha256:9e8a12864a60421880a954f612cd08f189b916593d0fb614d944c74417651038

Observation bb32615d-a58c-49c3-8dc0-cbbe06aa2558 · outbound

This paper cites Camou: Learning physical vehicle camouflages to adversarially attack detectors in the wild.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Camou: Learning physical vehicle camouflages to adversarially attack detectors in the wild

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:58:57.273980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:58:55.551804Z digest=sha256:9fa844cc990b746841fd68b5806a799b06a4b647b893b205955f3886d0d3f3c2

Observation f9185d15-b81e-49c2-8440-6059b03ef441 · outbound

This paper cites Boosting transferability of physical attack against detectors by redistributing separable attention.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Boosting transferability of physical attack against detectors by redistributing separable attention

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:58:57.015828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:58:55.629351Z digest=sha256:9faad56a7c5f4cfc307e1c5d9cacf453948951c1af7b5b2b3ed574856dfec50f

Observation 4cb33360-7344-49fb-b419-b2b4d887959f · outbound

This paper cites RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:55.711718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:55.711718Z digest=sha256:5a098fdefc814a54734aa6733002e343e21a8eadb271da760e8b2bd893ed0243

Observation 9e12c3fd-fec4-464d-8b5e-93838cd069e7 · outbound

This paper cites Multiview consistent phys- ical adversarial camouflage generation through semantic guidance.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Multiview consistent phys- ical adversarial camouflage generation through semantic guidance

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:58:56.758450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:58:55.779208Z digest=sha256:04acfae289215f2fa13115a1a012a3ff64619c185cd2fdd1d0c663d024249f14

Observation 41f75531-82c7-4bf9-bdcf-ab7ff2b4303b · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:55.838314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:55.838314Z digest=sha256:07101645f8fe23c3c5a12170d734c1fe09c28e64808821d4e48f5d90eb554f22

Pith citing papers

No inbound Pith citation observations are available.