FSPGD: Rethinking Black-box Attacks on Semantic Segmentation | Paper Citation Record

Observation 7a21fb2b-6fe1-4bea-9728-9efd6f4a85e8 · outbound

This paper cites Cospgd: an efficient white-box adversarial attack for pixel-wise prediction tasks.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Cospgd: an efficient white-box adversarial attack for pixel-wise prediction tasks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:25.455133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 27543e4b-3d8b-48be-853d-766fc41f1f12 · outbound

This paper cites Understanding and improving fast adversarial training.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Understanding and improving fast adversarial training

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:25.440479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ea8425da-aab9-4cbf-9be2-162e99cba728 · outbound

This paper cites On the robustness of semantic segmentation models to adversarial attacks.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation On the robustness of semantic segmentation models to adversarial attacks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:25.424946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 004063b8-66c1-4f32-b0c3-73d0834922b4 · outbound

This paper cites An adaptive model ensemble adversarial attack for boosting adversarial transferability.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation An adaptive model ensemble adversarial attack for boosting adversarial transferability

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:25.409953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ae5528c5-2f1c-4115-9605-213bd1895ed4 · outbound

This paper cites Rethinking Model Ensemble in Transfer-based Adversarial Attacks.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Rethinking Model Ensemble in Transfer-based Adversarial Attacks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-09T15:57:24.216566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdbae40d-ce04-44d4-ba28-8aa84f122fee · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T15:57:24.221864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5acda7bb-21f0-40e5-ba04-49f39bf26225 · outbound

This paper cites Encoder-decoder with atrous separable convolution for semantic image segmentation.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Encoder-decoder with atrous separable convolution for semantic image segmentation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:25.394903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 09444564-b4e3-44c6-9b8d-4acd05c22639 · outbound

This paper cites Masked-attention mask transformer for universal image segmentation.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Masked-attention mask transformer for universal image segmentation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:25.379450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c5e5e93b-b13c-4b43-b0d8-892a01ae5caf · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation The cityscapes dataset for semantic urban scene understanding

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:25.364728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 138c10e2-e74c-48b9-8c0f-b16ad28b5c76 · outbound

This paper cites Boosting adversarial attacks with momentum.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Boosting adversarial attacks with momentum

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:25.349448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7aff01b0-150e-4780-9184-851528d6673b · outbound

This paper cites Evading defenses to transferable adversarial examples by translation-invariant attacks.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Evading defenses to transferable adversarial examples by translation-invariant attacks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:25.334307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bf095d7c-348c-4d80-8ce2-623443ea0768 · outbound

This paper cites Everingham, L.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Everingham, L

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:25.319455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3a2843c6-2fc1-4966-a69f-613319a58881 · outbound

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

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Robust physical-world attacks on deep learning visual classification

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:25.304855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a087d409-994a-4a39-95a7-98f28e0388b1 · outbound

This paper cites Generative adversarial networks.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Generative adversarial networks

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:25.290584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0eb70d03-6293-4272-950a-1cd065124f1d · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Explaining and Harnessing Adversarial Examples

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T15:57:24.265693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8451284-809e-4e4b-879f-a367d630ed32 · outbound

This paper cites Effective and Efficient Vote Attack on Capsule Networks.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Effective and Efficient Vote Attack on Capsule Networks

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-09T15:57:24.698533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1eba4e5d-1ddc-42ef-ad72-6e4e4cde825f · outbound

This paper cites Segpgd: An effective and efficient adversarial attack for evaluating and boosting segmentation robustness.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Segpgd: An effective and efficient adversarial attack for evaluating and boosting segmentation robustness

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:25.276625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation da617a6d-3276-46f6-9631-a6366c3b89f6 · outbound

This paper cites Lgv: Boosting adversarial example transferability from large geometric vicinity.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Lgv: Boosting adversarial example transferability from large geometric vicinity

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:25.261328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9a18f822-151c-4105-89c4-811e562e3fea · outbound

This paper cites Backpropagating linearly improves transferability of adversarial examples.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Backpropagating linearly improves transferability of adversarial examples

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:25.246362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ae62850d-1e94-4b55-b1bc-22dd98c39d5a · outbound

This paper cites Hypercolumns for object segmentation and fine-grained localization.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Hypercolumns for object segmentation and fine-grained localization

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:25.231365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0e5e983e-3ef6-4030-bcdd-2670ba112ce2 · outbound

This paper cites Deep residual learning for image recognition.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Deep residual learning for image recognition

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:25.215554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 59b1ced0-7572-41f5-a59d-1b57a9503d49 · outbound

This paper cites Transferable Attack for Semantic Segmentation.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Transferable Attack for Semantic Segmentation

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-09T15:57:24.677433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7e05b20f-87b3-49b2-94ea-f3ae95678942 · outbound

This paper cites Densely connected convolutional networks.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Densely connected convolutional networks

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:25.200152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 807dbbbd-cef2-4dc8-a9d8-15a864d8e031 · outbound

This paper cites T-sea: Transfer-based self-ensemble attack on object detection.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation T-sea: Transfer-based self-ensemble attack on object detection

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:25.185203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e5b6e078-24bb-4f4f-a9b9-2772f824cf22 · outbound

This paper cites Enhancing adversarial example transferability with an intermediate level attack.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Enhancing adversarial example transferability with an intermediate level attack

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:25.170358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation aa92fb1d-0047-4902-a9c5-335d9354b9dc · outbound

This paper cites TranSegPGD: Improving Transferability of Adversarial Examples on Semantic Segmentation.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation TranSegPGD: Improving Transferability of Adversarial Examples on Semantic Segmentation

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-09T15:57:24.655125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 47131abe-0990-45aa-b6bc-cd298c9af962 · outbound

This paper cites Pearl: Preprocessing enhanced adversarial robust learning of image deraining for semantic segmentation.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Pearl: Preprocessing enhanced adversarial robust learning of image deraining for semantic segmentation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:25.155217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2bc4675d-562b-40bb-aa04-d0e5f792246d · outbound

This paper cites Yet another intermediate-level attack.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Yet another intermediate-level attack

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:25.139975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5236ef05-d920-403d-84ed-e061f9c2d451 · outbound

This paper cites Making substitute models more bayesian can enhance transferability of adversarial examples.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Making substitute models more bayesian can enhance transferability of adversarial examples

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:25.124725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d5b99d26-9293-4c03-8cb8-7b0b1e28207c · outbound

This paper cites Improving adversarial transferability via intermediate-level perturbation decay.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Improving adversarial transferability via intermediate-level perturbation decay

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:25.108599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9587e7f4-86f1-4b80-a2a6-3d48826f4e88 · outbound

This paper cites Styless: boosting the transferability of adversarial examples.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Styless: boosting the transferability of adversarial examples

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:25.093212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bc606a3d-3acb-4a2e-96ac-28948d9e4aee · outbound

This paper cites Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T15:57:24.346108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c4977b3-8e23-4d96-870f-5ccdf14b4eab · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Swin transformer: Hierarchical vision transformer using shifted windows

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:25.077774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1e67d0c3-9c90-4fe2-9b0a-38b4666ec747 · outbound

This paper cites Fully convolutional networks for semantic segmentation.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Fully convolutional networks for semantic segmentation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:25.061064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 27faa0a1-59bb-41bc-9ae9-86e04a4b65e2 · outbound

This paper cites On the convergence of an adaptive momentum method for adversarial attacks.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation On the convergence of an adaptive momentum method for adversarial attacks

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:25.046047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2d744001-abb5-4dbe-9b40-b6cbf5f86702 · outbound

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

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Towards deep learning models resistant to adversarial attacks

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:25.030864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3b3814fa-fee4-460d-9d13-ce8a513f3461 · outbound

This paper cites Deepfool: a simple and accurate method to fool deep neural networks.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Deepfool: a simple and accurate method to fool deep neural networks

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:25.015415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 05e96a04-603f-4f02-ab4b-17b5748f7678 · outbound

This paper cites TrackPGD: Efficient Adversarial Attack using Object Binary Masks against Robust Transformer Trackers.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation TrackPGD: Efficient Adversarial Attack using Object Binary Masks against Robust Transformer Trackers

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-09T15:57:24.617686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 84615665-ed08-4c79-a796-84470ec5695c · outbound

This paper cites A novel generator with auxiliary branch for improving gan performance.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation A novel generator with auxiliary branch for improving gan performance

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:24.999917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 498c8f08-6dc7-411a-9340-8513cdfbde2e · outbound

This paper cites Rethinking Image Skip Connections in StyleGAN2.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Rethinking Image Skip Connections in StyleGAN2

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-09T15:57:24.596083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b9a2d23c-e649-4b9a-b49c-90b17616b859 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation High-resolution image synthesis with latent diffusion models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-09T15:57:24.387743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adaecaf9-146a-4fc5-a010-d69c1e020411 · outbound

This paper cites Conditional convolution projecting latent vectors on condition- specific space.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Conditional convolution projecting latent vectors on condition- specific space

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:24.974919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ef6926d1-6882-48c1-acdd-dca08248813e · outbound

This paper cites Low-Rank Adversarial PGD Attack.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Low-Rank Adversarial PGD Attack

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-09T15:57:24.396812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c9316d1-10e2-43bb-b812-58ce2737be8c · outbound

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

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Accessorize to a crime: Real and stealthy attacks on state- of-the-art face recognition

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:24.960368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5c4f5b1f-b09a-4ca0-8af1-f441f558b9e9 · outbound

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

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-09T15:57:24.406588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 182a7606-a2eb-4c4a-a72a-5ed6ec757868 · outbound

This paper cites Going deeper with convolutions.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Going deeper with convolutions

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:24.945062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 18665268-0209-4be4-a39d-bbe04d63d38c · outbound

This paper cites Enhancing Adversarial Text Attacks on BERT Models with Projected Gradient Descent.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Enhancing Adversarial Text Attacks on BERT Models with Projected Gradient Descent

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-08-09T15:57:24.542624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6651c1cc-dae0-4b2b-add1-a4b583b5ea36 · outbound

This paper cites Boosting adversarial transferability by block shuffle and rotation.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Boosting adversarial transferability by block shuffle and rotation

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:24.930446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4d671bba-177f-4f02-b46c-5eb132fabe6b · outbound

This paper cites Admix: Enhancing the transferability of adversarial attacks.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Admix: Enhancing the transferability of adversarial attacks

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:24.915407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 862166a1-234d-4647-a48c-2a0d18be889d · outbound

This paper cites Feature importance-aware transferable adversarial attacks.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Feature importance-aware transferable adversarial attacks

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:24.900190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4c87a177-a3d6-4c26-ac3e-c4efd23011ab · outbound

This paper cites Boosting Adversarial Transferability via Fusing Logits of Top-1 Decomposed Feature.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Boosting Adversarial Transferability via Fusing Logits of Top-1 Decomposed Feature

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-09T15:57:24.520046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 24eb3270-bf21-4d3c-aa6e-536f7d2ab34a · outbound

This paper cites Rethinking the backward propagation for adversarial transferability.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Rethinking the backward propagation for adversarial transferability

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:24.884104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e52be68e-896d-48af-a06d-17702030b4df · outbound

This paper cites Adversarial examples for semantic segmentation and object detection.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Adversarial examples for semantic segmentation and object detection

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:24.868509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2b95ade5-a924-4fb3-a833-b8b442b0c616 · outbound

This paper cites Improving transferability of adversarial examples with input diversity.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Improving transferability of adversarial examples with input diversity

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:24.853312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f4b6ba74-8939-4a30-9ce5-6def289a93d5 · outbound

This paper cites Segformer: Simple and efficient design for semantic segmentation with transformers.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Segformer: Simple and efficient design for semantic segmentation with transformers

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:24.837892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 02b3681d-8b61-43e6-a820-55308249720f · outbound

This paper cites Improving adversarial transferability via neuron attribution-based attacks.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Improving adversarial transferability via neuron attribution-based attacks

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:24.820523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2469bd2e-f39c-43c0-9ed3-8ca5e745802f · outbound

This paper cites Improving the transferability of adversarial samples by path-augmented method.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Improving the transferability of adversarial samples by path-augmented method

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:24.805731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b501c132-ddff-4e74-8b68-8edae6c6125e · outbound

This paper cites Pyramid scene parsing network.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Pyramid scene parsing network

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:24.791219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d6cf20e2-fe30-46ab-94f0-60e441f17b1f · outbound

This paper cites Rethinking adversarial transferability from a data distribution perspective.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Rethinking adversarial transferability from a data distribution perspective

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:24.776190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 33633b29-6eee-4840-af73-940b2038199a · outbound

This paper cites Toward understanding and boosting adversarial transferability from a distribution perspective.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Toward understanding and boosting adversarial transferability from a distribution perspective

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:57:24.761271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers