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Paper Citation Record · LEDGER

Enhancing Adversarial Transferability via Component-Wise Transformation

As of 12 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2501.11901.

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

pith.paper-citation-record.v1
2501.11901 v2

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:51:49.982854Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

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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

56 of 56 outbound references displayed

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External citation measurements

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Outbound references

Observation bcca4fd2-0867-426d-8c3f-d476652d9878 · outbound

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

Enhancing Adversarial Transferability via Component-Wise Transformation An adaptive model ensemble adversarial attack for boosting adversarial transferability

Reference 1

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Observation fed9f3d2-c484-45b5-b53a-964b06c39014 · outbound

This paper cites Visformer: The vision-friendly transformer.

Enhancing Adversarial Transferability via Component-Wise Transformation Visformer: The vision-friendly transformer

Reference 2

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Observation f02f0b0d-5c86-458f-85a4-8efc3e16380f · outbound

This paper cites Certified adversarial robustness via randomized smoothing.

Enhancing Adversarial Transferability via Component-Wise Transformation Certified adversarial robustness via randomized smoothing

Reference 3

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Observation 9e1814d0-7e40-4dbc-adab-2b023432a0c0 · outbound

This paper cites Boosting adversarial at- tacks with momentum.

Enhancing Adversarial Transferability via Component-Wise Transformation Boosting adversarial at- tacks with momentum

Reference 4

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Observation 60ddd4be-5b7f-4c01-b8cc-621da9573268 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Enhancing Adversarial Transferability via Component-Wise Transformation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 5

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Observation 7e7f5cd0-aeae-40ff-8492-91680a034a34 · outbound

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

Enhancing Adversarial Transferability via Component-Wise Transformation Robust physical-world attacks on deep learning visual classification

Reference 6

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Observation d205257c-aaf7-4190-b500-f7a92e0cb5cd · outbound

This paper cites Transferable Adversarial Examples with Bayes Approach.

Enhancing Adversarial Transferability via Component-Wise Transformation Transferable Adversarial Examples with Bayes Approach

Reference 7

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Observation 53fadcc0-7cf8-4c3f-93fd-c4db9b3a9b05 · outbound

This paper cites Patch-wise attack for fooling deep neu- ral network.

Enhancing Adversarial Transferability via Component-Wise Transformation Patch-wise attack for fooling deep neu- ral network

Reference 8

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Observation 2a5357d4-4b8c-451f-99d6-226ff95874cf · outbound

This paper cites Imagenet-trained cnns are biased towards texture; increasing shape bias improves accuracy and robustness.

Enhancing Adversarial Transferability via Component-Wise Transformation Imagenet-trained cnns are biased towards texture; increasing shape bias improves accuracy and robustness

Reference 9

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Observation affd276c-b17b-4da4-b341-bda020d99a6e · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Enhancing Adversarial Transferability via Component-Wise Transformation Explaining and Harnessing Adversarial Examples

Reference 10

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Observation 366b0dee-cb58-4182-b4d4-881d86eb9026 · outbound

This paper cites Scalable verified training for provably robust image classification.

Enhancing Adversarial Transferability via Component-Wise Transformation Scalable verified training for provably robust image classification

Reference 11

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Observation 1a6a7c14-89a6-4146-aae6-af2e3f285ef1 · outbound

This paper cites Deep residual learning for image recognition.

Enhancing Adversarial Transferability via Component-Wise Transformation Deep residual learning for image recognition

Reference 12

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Observation 6e5a1e7e-9fcf-4872-8188-ab6fe3c3477d · outbound

This paper cites Rethinking spa- tial dimensions of vision transformers.

Enhancing Adversarial Transferability via Component-Wise Transformation Rethinking spa- tial dimensions of vision transformers

Reference 13

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Observation 3332ddfe-e5c4-45d9-9c29-b05805b11193 · outbound

This paper cites Squeeze-and-excitation net- works.

Enhancing Adversarial Transferability via Component-Wise Transformation Squeeze-and-excitation net- works

Reference 14

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Observation 40c7f88f-8fa5-448a-83da-88b54ede7e87 · outbound

This paper cites Densely connected convolutional net- works.

Enhancing Adversarial Transferability via Component-Wise Transformation Densely connected convolutional net- works

Reference 15

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Observation ff32245c-a368-4990-aa0c-256e4c3d7c3f · outbound

This paper cites The Platonic Representation Hypothesis.

Enhancing Adversarial Transferability via Component-Wise Transformation The Platonic Representation Hypothesis

Reference 16

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Observation 3e4888f5-1bfb-4172-8490-b446830abb97 · outbound

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

Enhancing Adversarial Transferability via Component-Wise Transformation Ad- versarial examples in the physical world

Reference 17

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Observation 2f06808c-3395-4eeb-a1e8-e1f9dcc4abc0 · outbound

This paper cites Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.

Enhancing Adversarial Transferability via Component-Wise Transformation Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples

Reference 18

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Observation 296f21c6-a447-4b32-a13c-413821691ec8 · outbound

This paper cites Defense against adversarial attacks using high-level representation guided denoiser.

Enhancing Adversarial Transferability via Component-Wise Transformation Defense against adversarial attacks using high-level representation guided denoiser

Reference 19

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Observation 9f1b3506-35d0-4a75-8a69-037275520d2b · outbound

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

Enhancing Adversarial Transferability via Component-Wise Transformation Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Reference 20

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Observation 1af58446-fd09-4e26-b329-1780264d0582 · outbound

This paper cites Delving into Transferable Adversarial Examples and Black-box Attacks.

Enhancing Adversarial Transferability via Component-Wise Transformation Delving into Transferable Adversarial Examples and Black-box Attacks

Reference 21

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Observation 422a9c2a-df37-435e-b376-668dfb3ed1e2 · outbound

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

Enhancing Adversarial Transferability via Component-Wise Transformation Swin transformer: Hierarchical vision transformer using shifted windows

Reference 22

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Observation e107cc79-99fd-435f-9be6-9440719a2552 · outbound

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Enhancing Adversarial Transferability via Component-Wise Transformation Fully convolutional networks for semantic segmentation

Reference 23

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Enhancing Adversarial Transferability via Component-Wise Transformation Improving adversarial transferability via model alignment

Reference 24

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Observation a6f7ea27-b489-4da5-b45a-01bec1fc7e5e · outbound

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

Enhancing Adversarial Transferability via Component-Wise Transformation Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 25

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Observation dcd914ed-d3b1-4177-9486-5dfe7b1c28cf · outbound

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Enhancing Adversarial Transferability via Component-Wise Transformation A self-supervised approach for adversarial robustness

Reference 26

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Observation 8905bdbb-e129-45e0-a910-420b20821e6b · outbound

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Enhancing Adversarial Transferability via Component-Wise Transformation Diffusion Models for Adversarial Purification

Reference 27

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Observation 426fd7ee-7877-4e50-8ba9-e169ff9c52c1 · outbound

This paper cites Size matters: large objects capture atten- tion in visual search.

Enhancing Adversarial Transferability via Component-Wise Transformation Size matters: large objects capture atten- tion in visual search

Reference 28

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Observation 8379c6bc-44fe-45e9-bf26-bcd75a1b450b · outbound

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Enhancing Adversarial Transferability via Component-Wise Transformation Certified Defenses against Adversarial Examples

Reference 29

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Enhancing Adversarial Transferability via Component-Wise Transformation YOLOv3: An Incremental Improvement

Reference 30

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Enhancing Adversarial Transferability via Component-Wise Transformation Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 31

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Observation 6f825caf-e3db-408f-a770-3dfb190c047a · outbound

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Enhancing Adversarial Transferability via Component-Wise Transformation U- net: Convolutional networks for biomedical image segmen- tation

Reference 32

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This paper cites Learning transferable adversarial perturbations.

Enhancing Adversarial Transferability via Component-Wise Transformation Learning transferable adversarial perturbations

Reference 33

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Enhancing Adversarial Transferability via Component-Wise Transformation Grad-CAM: Why did you say that?

Reference 34

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This paper cites Adversarial training for free! Advances in neural information processing systems , 32, 2019.

Enhancing Adversarial Transferability via Component-Wise Transformation Adversarial training for free! Advances in neural information processing systems , 32, 2019

Reference 35

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Observation e66d2d54-c24e-4342-9f5d-a87c41392662 · outbound

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

Enhancing Adversarial Transferability via Component-Wise Transformation Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition

Reference 36

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Source-reported events for the cited work

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Observation 06b724e8-fa3c-434c-8730-e6fa1f76712c · outbound

This paper cites Intriguing properties of neural networks.

Enhancing Adversarial Transferability via Component-Wise Transformation Intriguing properties of neural networks

Reference 37

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Observation fd2d67ec-d160-4b7d-977c-1a3835d3af69 · outbound

This paper cites Ensemble Adversarial Training: Attacks and Defenses.

Enhancing Adversarial Transferability via Component-Wise Transformation Ensemble Adversarial Training: Attacks and Defenses

Reference 38

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Observation fa68a458-db60-466d-91a1-a7b65edd29ae · outbound

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

Enhancing Adversarial Transferability via Component-Wise Transformation Boosting adversarial transferability by block shuffle and rotation

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-10T17:51:50.651327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 72fb0667-a17b-4587-bc45-e6f7ea016654 · outbound

This paper cites Boost Adversarial Transferability by Uniform Scale and Mix Mask Method.

Enhancing Adversarial Transferability via Component-Wise Transformation Boost Adversarial Transferability by Uniform Scale and Mix Mask Method

Reference 40

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verified exact
local_arxiv, observed 2026-08-10T17:51:50.103686Z

Source-reported events for the cited work

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Observation 8b3790dc-6973-415c-93ba-a38f5999e781 · outbound

This paper cites Enhancing the transferability of adversarial attacks through variance tuning.

Enhancing Adversarial Transferability via Component-Wise Transformation Enhancing the transferability of adversarial attacks through variance tuning

Reference 41

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 2c51f84d-bf5f-4381-9bb5-2e18bd4e7323 · outbound

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

Enhancing Adversarial Transferability via Component-Wise Transformation Admix: Enhancing the transferability of adversarial attacks

Reference 42

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 3f961fce-1ed3-4aac-8bcb-a406dfb7082f · outbound

This paper cites Multi-stage Optimization based Adversarial Training.

Enhancing Adversarial Transferability via Component-Wise Transformation Multi-stage Optimization based Adversarial Training

Reference 43

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 4681ae1c-aa26-46f6-a8a5-eaf0a322c385 · outbound

This paper cites Struc- ture invariant transformation for better adversarial transfer- ability.

Enhancing Adversarial Transferability via Component-Wise Transformation Struc- ture invariant transformation for better adversarial transfer- ability

Reference 44

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 9e5459cf-4480-42b1-8cf6-9c4901d1354e · outbound

This paper cites Better diffusion models further improve adversarial training.

Enhancing Adversarial Transferability via Component-Wise Transformation Better diffusion models further improve adversarial training

Reference 45

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation aa7c0156-64f8-4712-9f9a-600fc3b44b5b · outbound

This paper cites Boosting adversarial transfer- ability with learnable patch-wise masks.

Enhancing Adversarial Transferability via Component-Wise Transformation Boosting adversarial transfer- ability with learnable patch-wise masks

Reference 46

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation e4bcc991-b6a8-4aa9-8bc3-1ba00d75459f · outbound

This paper cites Towards transferable adversarial attacks on vision transformers.

Enhancing Adversarial Transferability via Component-Wise Transformation Towards transferable adversarial attacks on vision transformers

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:51:50.543349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f1425aa4-7c39-42c3-a31a-58cd7423f9f0 · outbound

This paper cites Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets.

Enhancing Adversarial Transferability via Component-Wise Transformation Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets

Reference 48

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 07d278b4-bf08-4cbe-a3f9-8fe56769ff5f · outbound

This paper cites Feature denoising for improving ad- versarial robustness.

Enhancing Adversarial Transferability via Component-Wise Transformation Feature denoising for improving ad- versarial robustness

Reference 49

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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 2026-08-12T06:34:41.77262+00:00.

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Observation cba4e61c-94e6-4078-b43b-6ace88c38a3f · outbound

This paper cites Improving transferabil- ity of adversarial examples with input diversity.

Enhancing Adversarial Transferability via Component-Wise Transformation Improving transferabil- ity of adversarial examples with input diversity

Reference 50

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T17:51:49.948875Z digest=sha256:679e94533201b0849b5e36aaf8fd18edc0ff153fa437a65c0e842ecb4e9269a4

Observation 03ce4eaa-4bd4-4db1-80a2-fa487e410447 · outbound

This paper cites Aggregated residual transformations for deep neural networks.

Enhancing Adversarial Transferability via Component-Wise Transformation Aggregated residual transformations for deep neural networks

Reference 51

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 617e596e-f117-408a-a9a4-936b268596d7 · outbound

This paper cites Stochastic variance reduced ensemble adver- sarial attack for boosting the adversarial transferability.

Enhancing Adversarial Transferability via Component-Wise Transformation Stochastic variance reduced ensemble adver- sarial attack for boosting the adversarial transferability

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:51:50.473880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 20e74821-4a73-438a-a008-1d84a7c91ba0 · outbound

This paper cites Natural color fool: Towards boosting black-box unrestricted attacks.

Enhancing Adversarial Transferability via Component-Wise Transformation Natural color fool: Towards boosting black-box unrestricted attacks

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:51:50.456135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T17:51:49.966934Z digest=sha256:b939ef86eb7adff270a6db202767dae4fa4e0fb849bff400ebfffcdcdf98661c

Observation ec2b277f-fe11-4203-8a5e-d11423850b22 · outbound

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

Enhancing Adversarial Transferability via Component-Wise Transformation Improving the transferability of adversarial samples by path- augmented method

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:51:50.436522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T17:51:49.972347Z digest=sha256:3b96fe6d356cad7a87dc2b266864378da907510217b6277e5fcf9cfeb2a3464f

Observation 2a0115bc-9bbb-43e0-8065-a33d6f3e6311 · outbound

This paper cites MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs.

Enhancing Adversarial Transferability via Component-Wise Transformation MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs

Reference 55

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f2c86c24-6de9-463f-8792-1db1f037d921 · outbound

This paper cites Learning to transform dynamically for better adversarial transferability.

Enhancing Adversarial Transferability via Component-Wise Transformation Learning to transform dynamically for better adversarial transferability

Reference 56

Resolution
malformed identifier
raw_fallback, observed 2026-08-10T17:51:50.417106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Pith citing papers

No inbound Pith citation observations are available.