Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T17:51:49.982854Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T17:51:49.982854Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
56 of 56 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation bcca4fd2-0867-426d-8c3f-d476652d9878 · outbound
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
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
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
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
Enhancing Adversarial Transferability via Component-Wise Transformation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
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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
Enhancing Adversarial Transferability via Component-Wise Transformation Transferable Adversarial Examples with Bayes Approach
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Enhancing Adversarial Transferability via Component-Wise Transformation Patch-wise attack for fooling deep neu- ral network
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Observation 2a5357d4-4b8c-451f-99d6-226ff95874cf · outbound
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
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
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
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
Enhancing Adversarial Transferability via Component-Wise Transformation Rethinking spa- tial dimensions of vision transformers
Reference 13
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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
Enhancing Adversarial Transferability via Component-Wise Transformation Densely connected convolutional net- works
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Observation ff32245c-a368-4990-aa0c-256e4c3d7c3f · outbound
Enhancing Adversarial Transferability via Component-Wise Transformation The Platonic Representation Hypothesis
Reference 16
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Observation 3e4888f5-1bfb-4172-8490-b446830abb97 · outbound
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
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
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
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
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
Enhancing Adversarial Transferability via Component-Wise Transformation Swin transformer: Hierarchical vision transformer using shifted windows
Reference 22
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Enhancing Adversarial Transferability via Component-Wise Transformation Fully convolutional networks for semantic segmentation
Reference 23
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Observation df406c10-4725-4aeb-98b6-6f3089fabf79 · outbound
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
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
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
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
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
Enhancing Adversarial Transferability via Component-Wise Transformation Certified Defenses against Adversarial Examples
Reference 29
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Observation 1a3f9ba5-6333-4c9c-b8b1-48ecae3ff604 · outbound
Enhancing Adversarial Transferability via Component-Wise Transformation YOLOv3: An Incremental Improvement
Reference 30
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Observation 9dacb2d7-3563-45ba-92e7-f93ee584e47e · outbound
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
Enhancing Adversarial Transferability via Component-Wise Transformation U- net: Convolutional networks for biomedical image segmen- tation
Reference 32
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Observation dd8ce828-5835-4cca-b86d-6539e2a96b2e · outbound
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?
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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
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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Observation 06b724e8-fa3c-434c-8730-e6fa1f76712c · outbound
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
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
Enhancing Adversarial Transferability via Component-Wise Transformation Boosting adversarial transferability by block shuffle and rotation
Reference 39
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Reference 40
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Observation 8b3790dc-6973-415c-93ba-a38f5999e781 · outbound
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Reference 41
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Reference 42
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Enhancing Adversarial Transferability via Component-Wise Transformation Multi-stage Optimization based Adversarial Training
Reference 43
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Enhancing Adversarial Transferability via Component-Wise Transformation Struc- ture invariant transformation for better adversarial transfer- ability
Reference 44
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Observation 9e5459cf-4480-42b1-8cf6-9c4901d1354e · outbound
Enhancing Adversarial Transferability via Component-Wise Transformation Better diffusion models further improve adversarial training
Reference 45
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Enhancing Adversarial Transferability via Component-Wise Transformation Boosting adversarial transfer- ability with learnable patch-wise masks
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Observation e4bcc991-b6a8-4aa9-8bc3-1ba00d75459f · outbound
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Reference 47
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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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Enhancing Adversarial Transferability via Component-Wise Transformation Feature denoising for improving ad- versarial robustness
Reference 49
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Reference 50
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Observation 03ce4eaa-4bd4-4db1-80a2-fa487e410447 · outbound
Enhancing Adversarial Transferability via Component-Wise Transformation Aggregated residual transformations for deep neural networks
Reference 51
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Enhancing Adversarial Transferability via Component-Wise Transformation Stochastic variance reduced ensemble adver- sarial attack for boosting the adversarial transferability
Reference 52
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Observation 20e74821-4a73-438a-a008-1d84a7c91ba0 · outbound
Enhancing Adversarial Transferability via Component-Wise Transformation Natural color fool: Towards boosting black-box unrestricted attacks
Reference 53
Source-reported events for the cited work
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Observation ec2b277f-fe11-4203-8a5e-d11423850b22 · outbound
Enhancing Adversarial Transferability via Component-Wise Transformation Improving the transferability of adversarial samples by path- augmented method
Reference 54
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Observation 2a0115bc-9bbb-43e0-8065-a33d6f3e6311 · outbound
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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Observation f2c86c24-6de9-463f-8792-1db1f037d921 · outbound
Enhancing Adversarial Transferability via Component-Wise Transformation Learning to transform dynamically for better adversarial transferability
Reference 56
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No inbound Pith citation observations are available.