Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion | Paper Citation Record

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This paper cites Efficient qos-aware service recommendation for multi-tenant service-based systems in cloud,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Efficient qos-aware service recommendation for multi-tenant service-based systems in cloud,

Reference 1

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This paper cites Edge computing for internet of everything: A survey,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Edge computing for internet of everything: A survey,

Reference 2

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Observation f41b9cf3-2ca0-4544-a1dc-06831aae0294 · outbound

This paper cites Groupchain: Towards a scalable public blockchain in fog computing of iot services com- puting,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Groupchain: Towards a scalable public blockchain in fog computing of iot services com- puting,

Reference 3

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Observation 3ad741cf-2845-49b6-848e-19586b3c755e · outbound

This paper cites Vision-and-language navigation: Interpreting visually-grounded navigation instruc- tions in real environments,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Vision-and-language navigation: Interpreting visually-grounded navigation instruc- tions in real environments,

Reference 4

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This paper cites Transferable representation learning in vision-and- language navigation,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Transferable representation learning in vision-and- language navigation,

Reference 5

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Observation 1a01e039-e93d-4ba3-bbcd-fb52ee459322 · outbound

This paper cites Look before you leap: Bridging model-free and model-based reinforcement learning for planned-ahead vision-and-language navigation,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Look before you leap: Bridging model-free and model-based reinforcement learning for planned-ahead vision-and-language navigation,

Reference 6

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Observation 3a42df36-2c7e-48b0-8934-5c47cefdfc33 · outbound

This paper cites Reinforced cross-modal matching and self-supervised imitation learning for vision-language navi- gation,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Reinforced cross-modal matching and self-supervised imitation learning for vision-language navi- gation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:56.834519Z

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Observation 572c89d8-ab0c-4834-9a04-54e869033d7c · outbound

This paper cites Lan- guage models are few-shot learners,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Lan- guage models are few-shot learners,

Reference 8

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This paper cites GPT-4 Technical Report.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion GPT-4 Technical Report

Reference 9

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Observation 28ce8d90-2a20-4ba1-ac9e-51554da7159d · outbound

This paper cites When search engine services meet large language models: visions and challenges,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion When search engine services meet large language models: visions and challenges,

Reference 10

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Observation e0813451-16e1-44ff-b17e-9f1090c9a394 · outbound

This paper cites Learning transfer- able visual models from natural language supervision,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Learning transfer- able visual models from natural language supervision,

Reference 11

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Observation 53faae4e-8063-4039-9e1e-2b4087c75830 · outbound

This paper cites Visual instruction tuning,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Visual instruction tuning,

Reference 12

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Observation 8a4b4603-d9b1-4bb1-9eb2-4dbe14e0f693 · outbound

This paper cites Jarvis: Joining adversarial training with vision transformers in next-activity prediction,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Jarvis: Joining adversarial training with vision transformers in next-activity prediction,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:56.390354Z

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This paper cites Generative AI based Secure Wireless Sensing for ISAC Networks.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Generative AI based Secure Wireless Sensing for ISAC Networks

Reference 14

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This paper cites Multi-objective aerial collaborative secure communication opti- mization via generative diffusion model-enabled deep reinforce- ment learning,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Multi-objective aerial collaborative secure communication opti- mization via generative diffusion model-enabled deep reinforce- ment learning,

Reference 15

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Observation 3a70fc58-9d51-4096-b8a5-5b1d8e686a3b · outbound

This paper cites Visual language maps for robot navigation,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Visual language maps for robot navigation,

Reference 16

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Observation 7403c7cd-1aba-4d90-a011-ad2ffb058f85 · outbound

This paper cites Cows on pasture: Baselines and benchmarks for language-driven zero-shot object navigation,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Cows on pasture: Baselines and benchmarks for language-driven zero-shot object navigation,

Reference 17

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This paper cites Think, act, and ask: Open- world interactive personalized robot navigation,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Think, act, and ask: Open- world interactive personalized robot navigation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:55.805560Z

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This paper cites CLIP-fields: Weakly supervised semantic fields for robotic mem- ory,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion CLIP-fields: Weakly supervised semantic fields for robotic mem- ory,

Reference 19

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Observation c7ec27f7-f820-4853-ad2e-6c7b1915d4e0 · outbound

This paper cites A Survey on Robotics with Foundation Models: toward Embodied AI.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion A Survey on Robotics with Foundation Models: toward Embodied AI

Reference 20

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This paper cites Real-world robot applications of foundation models: A review,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Real-world robot applications of foundation models: A review,

Reference 21

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Observation 73a7ce84-e4b8-4773-a9d3-81d159ee93f3 · outbound

This paper cites Velma: Verbalization embodiment of llm agents for vision and language navigation in street view,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Velma: Verbalization embodiment of llm agents for vision and language navigation in street view,

Reference 22

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This paper cites Segment anything,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Segment anything,

Reference 23

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This paper cites Defending adversarial attacks via semantic feature manipulation,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Defending adversarial attacks via semantic feature manipulation,

Reference 24

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This paper cites Exploring the Robustness of Decision-Level Through Adversarial Attacks on LLM-Based Embodied Models.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Exploring the Robustness of Decision-Level Through Adversarial Attacks on LLM-Based Embodied Models

Reference 25

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This paper cites POEX: Towards Policy Executable Jailbreak Attacks Against the LLM-based Robots.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion POEX: Towards Policy Executable Jailbreak Attacks Against the LLM-based Robots

Reference 26

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This paper cites Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics

Reference 27

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This paper cites How Secure Are Large Language Models (LLMs) for Navigation in Urban Environments?.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion How Secure Are Large Language Models (LLMs) for Navigation in Urban Environments?

Reference 28

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This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 29

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This paper cites Accelerating greedy coordinate gradient and general prompt optimization via probe sampling,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Accelerating greedy coordinate gradient and general prompt optimization via probe sampling,

Reference 30

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This paper cites Jailbreaker: Automated jailbreak across multiple large language model chatbots,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Jailbreaker: Automated jailbreak across multiple large language model chatbots,

Reference 31

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This paper cites Tree of attacks: Jailbreaking black- box llms automatically,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Tree of attacks: Jailbreaking black- box llms automatically,

Reference 32

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This paper cites Adv- clip: Downstream-agnostic adversarial examples in multimodal contrastive learning,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Adv- clip: Downstream-agnostic adversarial examples in multimodal contrastive learning,

Reference 33

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This paper cites On evaluating adversarial robustness of large vision- language models,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion On evaluating adversarial robustness of large vision- language models,

Reference 34

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This paper cites Spatiotemporal attacks for embodied agents,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Spatiotemporal attacks for embodied agents,

Reference 35

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

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Towards transferable targeted 3d adversarial attack in the physical world,

Reference 36

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This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 37

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This paper cites Mask r-cnn,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Mask r-cnn,

Reference 38

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This paper cites Deep residual learning for image recognition,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Deep residual learning for image recognition,

Reference 39

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This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Chain-of-thought prompting elicits reasoning in large language models,

Reference 40

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This paper cites An embodied generalist agent in 3d world,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion An embodied generalist agent in 3d world,

Reference 41

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This paper cites Llm-planner: Few-shot grounded planning for embodied agents with large language models,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Llm-planner: Few-shot grounded planning for embodied agents with large language models,

Reference 42

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This paper cites Towards learning a generalist model for embodied navigation,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Towards learning a generalist model for embodied navigation,

Reference 43

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This paper cites Zson: Zero-shot object-goal navigation using multimodal goal embeddings,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Zson: Zero-shot object-goal navigation using multimodal goal embeddings,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:51.698573Z

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This paper cites A survey on large language model (llm) security and privacy: The good, the bad, and the ugly,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion A survey on large language model (llm) security and privacy: The good, the bad, and the ugly,

Reference 45

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This paper cites Large Language Model Alignment: A Survey.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Large Language Model Alignment: A Survey

Reference 46

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This paper cites Bert-attack: Adversarial attack against bert using bert,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Bert-attack: Adversarial attack against bert using bert,

Reference 47

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Observation 0c7dfc16-043a-4a3b-bac7-d25029946a27 · outbound

This paper cites How Robust is Google's Bard to Adversarial Image Attacks?.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion How Robust is Google's Bard to Adversarial Image Attacks?

Reference 48

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This paper cites Re- thinking model ensemble in transfer-based adversarial attacks,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Re- thinking model ensemble in transfer-based adversarial attacks,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:51.269759Z

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Observation dddf400e-4eeb-43cb-b918-7e17710112ce · outbound

This paper cites Physical adversarial attack meets computer vision: A decade survey,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Physical adversarial attack meets computer vision: A decade survey,

Reference 50

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This paper cites Robust adversarial objects against deep learning models,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Robust adversarial objects against deep learning models,

Reference 51

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Observation a0ecc492-b712-4753-8d06-787888df9d0a · outbound

This paper cites Pointcloud saliency maps,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Pointcloud saliency maps,

Reference 52

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Observation 0a4742d7-5b70-4677-bb49-f844bb749dbd · outbound

This paper cites Advpc: Transfer- able adversarial perturbations on 3d point clouds,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Advpc: Transfer- able adversarial perturbations on 3d point clouds,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:50.326003Z

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Observation b19216ee-e960-49de-b48a-5ea4170a11df · outbound

This paper cites Lg-gan: Label guided adversarial network for flexible targeted attack of point cloud based deep networks,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Lg-gan: Label guided adversarial network for flexible targeted attack of point cloud based deep networks,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:50.012816Z

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Observation e864ea27-76dc-4234-a43d-57a0e4eb4c9e · outbound

This paper cites Dta: Physical camouflage attacks using differentiable transformation network,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Dta: Physical camouflage attacks using differentiable transformation network,

Reference 55

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This paper cites Active: Towards highly trans- ferable 3d physical camouflage for universal and robust vehicle evasion,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Active: Towards highly trans- ferable 3d physical camouflage for universal and robust vehicle evasion,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:49.514367Z

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Observation 8542560d-960c-4112-8687-da2556bbe594 · outbound

This paper cites Learning from simulated and unsupervised images through adversarial training,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Learning from simulated and unsupervised images through adversarial training,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:49.305975Z

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This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:49.138597Z

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Observation fded94e6-74d1-454b-9893-ecc3d24c13f6 · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:48.897186Z

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Observation 863efbe3-6f0a-4b44-b486-725d7ad17524 · outbound

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

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:48.616056Z

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Observation f1f1ac9c-209d-46f6-925e-7219b61e6234 · outbound

This paper cites You only look once: Unified, real-time object detec- tion,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion You only look once: Unified, real-time object detec- tion,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:48.392319Z

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Observation 173bf764-7a4f-45e3-9846-746d7ee839aa · outbound

This paper cites Beyond the nav-graph: Vision-and-language navigation in continuous en- vironments,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Beyond the nav-graph: Vision-and-language navigation in continuous en- vironments,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:48.227370Z

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Observation 853cf257-4941-4c70-bfe1-af63977001c5 · outbound

This paper cites A frontier-based approach for autonomous explo- ration,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion A frontier-based approach for autonomous explo- ration,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:48.031204Z

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Observation bd21b96e-1df4-446c-b2ad-759fa287dddb · outbound

This paper cites Large language models can be easily distracted by irrelevant context,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Large language models can be easily distracted by irrelevant context,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:47.787446Z

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Observation 5301e129-8442-44c0-b9da-2fb38c5b5a37 · outbound

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

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Ad- versarial camouflage: Hiding physical-world attacks with natural styles,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:47.614993Z

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Observation c9be45bf-4c05-4f2d-b81d-3407842f4283 · outbound

This paper cites An overview on 3d printing technology: Technological, materials, and applications,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion An overview on 3d printing technology: Technological, materials, and applications,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:47.432991Z

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Observation 878c1399-a36c-4fd9-a79d-5068cc588f48 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 67

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This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion A density-based algorithm for discovering clusters in large spatial databases with noise,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:47.278082Z

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Observation 96c6b29b-58ce-440d-ac05-4623eda8e6ec · outbound

This paper cites Matterport3d: Learning from rgb-d data in indoor environments,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Matterport3d: Learning from rgb-d data in indoor environments,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:47.024568Z

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Observation d079ba97-2aef-4a90-8cd2-398a3368aa98 · outbound

This paper cites Language-driven semantic segmentation,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Language-driven semantic segmentation,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:46.879752Z

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.

Observation 6d103038-079e-4def-9577-c5c6479d23a6 · outbound

This paper cites Habitat-matterport 3d dataset (HM3d): 1000 large-scale 3d environments for embod- ied AI,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Habitat-matterport 3d dataset (HM3d): 1000 large-scale 3d environments for embod- ied AI,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:46.685475Z

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

Observation 6b0c93be-0b9a-40c8-97c9-d12eb49c3501 · outbound

This paper cites Habitat: A platform for embodied ai research,.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Habitat: A platform for embodied ai research,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:46.506520Z

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