Paper Citation Record · LEDGER

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

As of 19 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 26 inbound Pith citation observations for arXiv:1908.06281.

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

pith.paper-citation-record.v1
1908.06281 v5

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:54:33.419561Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:52:01.306099Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:08:43.146330Z

Reference resolution

35 of 35 outbound references displayed

verified exact0
verified fuzzy23
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 166ccc0a-9e65-4eb2-97a6-8bc3e399a86f · outbound

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

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks On the robustness of semantic segmentation models to adversarial attacks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:54:33.867620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aa55e363-c071-4501-a082-5c8e24a0fc39 · outbound

This paper cites Towards evaluating the robustness of neural networks.

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Towards evaluating the robustness of neural networks

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:54:33.855405Z

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Observation 807abb88-99eb-4a98-bf3b-029187e6e53d · outbound

This paper cites Certified adversarial robustness via randomized smoothing.

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Certified adversarial robustness via randomized smoothing

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:54:33.842870Z

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Observation 0edf5094-3ab9-4239-bddc-fabc9b5fcf00 · outbound

This paper cites Boosting adversarial attacks with momentum.

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Boosting adversarial attacks with momentum

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:54:33.830124Z

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Observation 9f244ef4-b69f-4c4f-ae3d-73b97f0918cd · outbound

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

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Evading defenses to transferable adversarial examples by translation-invariant attacks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:54:33.817574Z

Source-reported events for the cited work

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Observation 4b9fb68f-4656-4443-a98a-757d9cc6abf2 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Explaining and Harnessing Adversarial Examples

Reference 6

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Observation 21c9a558-2739-43c1-8816-e6f33c2837fd · outbound

This paper cites Countering adversarial images using input transformations.

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Countering adversarial images using input transformations

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:54:33.805806Z

Source-reported events for the cited work

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Observation e1b18123-5f7a-4feb-a483-782123aa4a50 · outbound

This paper cites Identity mappings in deep residual networks.

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Identity mappings in deep residual networks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:54:33.793325Z

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Observation 321e6fd7-f835-47a1-bd63-b87b8db2c489 · outbound

This paper cites Comdefend: An efficient image compression model to defend adversarial examples.

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Comdefend: An efficient image compression model to defend adversarial examples

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:54:33.779687Z

Source-reported events for the cited work

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Observation c8febe3f-5671-4e80-91c9-783f8e892f3b · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Adam: A Method for Stochastic Optimization

Reference 10

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Observation 7d662bb5-ddae-495c-99ec-81d48f019d27 · outbound

This paper cites Adversarial examples in the physical world.

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Adversarial examples in the physical world

Reference 11

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Observation f63eae34-20cb-43ea-8fd8-b1bc95dc633e · outbound

This paper cites Goodfellow, and Samy Bengio.

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Goodfellow, and Samy Bengio

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:54:33.767311Z

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Observation 1f13f7ad-f669-4395-a424-b632d51175bc · outbound

This paper cites Adversarial attacks and defences competition.

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Adversarial attacks and defences competition

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:54:33.754659Z

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Observation 4ea6155f-9817-470c-ae5f-efd14e7cbd1b · outbound

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

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Defense against adversarial attacks using high-level representation guided denoiser

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:54:33.741669Z

Source-reported events for the cited work

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Observation 407331ac-f905-4c8c-9889-a5e6e31b094c · outbound

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

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Delving into Transferable Adversarial Examples and Black-box Attacks

Reference 15

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Observation 9e29e4e7-4477-4777-acc7-5f569032c86d · outbound

This paper cites Feature distillation: Dnn-oriented jpeg compression against adversarial examples.

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Feature distillation: Dnn-oriented jpeg compression against adversarial examples

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:54:33.729334Z

Source-reported events for the cited work

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Observation ea6182c5-0a33-4349-87be-8767e8d6298e · outbound

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

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Towards deep learning models resistant to adversarial attacks

Reference 17

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Observation 153c398c-d191-41a1-8c9c-6d5557bfeb2f · outbound

This paper cites A method for unconstrained convex minimization problem with the rate of convergence o (1/k\^ 2).

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks A method for unconstrained convex minimization problem with the rate of convergence o (1/k\^ 2)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:54:33.709496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f8387225-bfd4-48ff-9c2f-e06d6028e596 · outbound

This paper cites Some methods of speeding up the convergence of iteration methods.

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Some methods of speeding up the convergence of iteration methods

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:54:33.697669Z

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Observation b5ede7e3-cc6a-47aa-94e3-754e58eaca16 · outbound

This paper cites Imagenet large scale visual recognition challenge.

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Imagenet large scale visual recognition challenge

Reference 20

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Observation 2eca4f20-9b48-49c6-a6f7-a08344286b57 · outbound

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

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 21

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Observation 54865474-36fa-4c38-be5d-8e40040e0948 · outbound

This paper cites Hopcroft.

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Hopcroft

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:54:33.676482Z

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Observation 62e3a2c9-0101-4997-b892-f6f717a5f895 · outbound

This paper cites Hopcroft.

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Hopcroft

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:54:33.663213Z

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Observation a094d920-192e-4f38-b60b-87930749787c · outbound

This paper cites On the importance of initialization and momentum in deep learning.

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks On the importance of initialization and momentum in deep learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:54:33.649411Z

Source-reported events for the cited work

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Observation 95a159b4-718f-469d-b272-f4bc887ccd6f · outbound

This paper cites Intriguing properties of neural networks.

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Intriguing properties of neural networks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:54:33.636320Z

Source-reported events for the cited work

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Observation 905bd35b-5788-46b0-804d-f050aa70fa9b · outbound

This paper cites Rethinking the inception architecture for computer vision.

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Rethinking the inception architecture for computer vision

Reference 26

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Observation 4a573940-a1dd-4cc3-9766-784c8b73672c · outbound

This paper cites Inception-v4, inception-resnet and the impact of residual connections on learning.

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Inception-v4, inception-resnet and the impact of residual connections on learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:54:33.616356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e75e3c0b-3578-4340-b217-bc83d5f3ee34 · outbound

This paper cites Ensemble adversarial training: Attacks and defenses.

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Ensemble adversarial training: Attacks and defenses

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:54:33.603663Z

Source-reported events for the cited work

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Observation 4366e876-1ee8-4d15-bacc-70e1d6e105d8 · outbound

This paper cites AT-GAN: An Adversarial Generator Model for Non-constrained Adversarial Examples.

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks AT-GAN: An Adversarial Generator Model for Non-constrained Adversarial Examples

Reference 29

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Observation f15236e7-047a-4a2f-a508-404775068def · outbound

This paper cites Mitigating adversarial effects through randomization.

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Mitigating adversarial effects through randomization

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:54:33.590924Z

Source-reported events for the cited work

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Observation 831ed0ba-4406-4863-9151-355736e8837f · outbound

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

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Improving transferability of adversarial examples with input diversity

Reference 31

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Source-reported events for the cited work

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Observation 684b93d1-17db-4b6c-bff6-9b80bbee0693 · outbound

This paper cites Adversarially Robust Generalization Just Requires More Unlabeled Data.

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Adversarially Robust Generalization Just Requires More Unlabeled Data

Reference 32

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Observation 2e99c823-0d7c-4858-9eba-1e008765ddc4 · outbound

This paper cites @esa (Ref.

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks @esa (Ref

Reference 33

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Observation d8744b10-cc42-4a95-bc87-00e34da08054 · outbound

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Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Unresolved cited work

Reference 34

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Observation 72fb5ee4-d842-4bc1-9c47-1ed902fc0e2c · outbound

This paper cites T j 8˾ \ i-W@n I ( 1|2h: 8 3 |9G ܠO >.

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks T j 8˾ \ i-W@n I ( 1|2h: 8 3 |9G ܠO >

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:54:33.550177Z

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Pith citing papers

Observation da013ec1-de36-4474-9ae5-fea8d8ac0f64 · inbound

Three-in-One: Robust Enhanced Universal Transferable Anti-Facial Retrieval in Online Social Networks cites this paper.

Three-in-One: Robust Enhanced Universal Transferable Anti-Facial Retrieval in Online Social Networks Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Reference 29

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Observation d5303fa2-7aab-4fd2-a249-a6fe31738fed · inbound

Random Batch Method with Momentum Correction cites this paper.

Random Batch Method with Momentum Correction Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Reference 8

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Observation 6ba079df-09e3-4ee1-9b1c-f5de5889e5c2 · inbound

Watertox: The Art of Simplicity in Universal Attacks A Cross-Model Framework for Robust Adversarial Generation cites this paper.

Watertox: The Art of Simplicity in Universal Attacks A Cross-Model Framework for Robust Adversarial Generation Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Reference 18

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Observation f259b160-b635-41bd-aca7-68bd6a56cb1a · inbound

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models cites this paper.

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Reference 17

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Observation 9ab00d03-a491-4b82-bd1c-224fb6a580a8 · inbound

Attribution for Enhanced Explanation with Transferable Adversarial eXploration cites this paper.

Attribution for Enhanced Explanation with Transferable Adversarial eXploration Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Reference 41

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Observation 1cf63b37-379c-4702-879c-321f7969dddb · inbound

Two Heads Are Better Than One: Averaging along Fine-Tuning to Improve Targeted Transferability cites this paper.

Two Heads Are Better Than One: Averaging along Fine-Tuning to Improve Targeted Transferability Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Reference 5

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

Enhancing Adversarial Transferability via Component-Wise Transformation cites this paper.

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

Reference 20

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

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation cites this paper.

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

Reference 32

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Observation ab93f839-f3c2-45d6-8baf-a4f939131b47 · inbound

Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation cites this paper.

Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Reference 50

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Observation 7c96d5b4-b5c3-4aab-b393-2d47108bbdb7 · inbound

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples cites this paper.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Reference 7

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Observation 61bf2d92-405a-4ca0-bbae-4baee489766c · inbound

Permutation Randomization on Nonsmooth Nonconvex Optimization: A Theoretical and Experimental Study cites this paper.

Permutation Randomization on Nonsmooth Nonconvex Optimization: A Theoretical and Experimental Study Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Reference 38

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Observation dcdea9bc-8419-4abf-8d81-598217a113cb · inbound

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning cites this paper.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Reference 76

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Observation c793e992-9a05-4370-815c-c7d65c6e5cde · inbound

Towards more transferable adversarial attack in black-box manner cites this paper.

Towards more transferable adversarial attack in black-box manner Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Reference 29

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Observation f57bd50b-3fe4-41be-a1f7-bccbc37f64ee · inbound

Boosting Adversarial Transferability via High-Frequency Augmentation and Hierarchical-Gradient Fusion cites this paper.

Boosting Adversarial Transferability via High-Frequency Augmentation and Hierarchical-Gradient Fusion Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Reference 5

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Observation b6c0e771-5534-4b64-ac33-1710277972ac · inbound

Adversarial Semantic and Label Perturbation Attack for Pedestrian Attribute Recognition cites this paper.

Adversarial Semantic and Label Perturbation Attack for Pedestrian Attribute Recognition Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Reference 36

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Observation e2eb8661-6449-4732-a8ba-beedd3f7c542 · inbound

Boosting Adversarial Transferability Against Defenses via Multi-Scale Transformation cites this paper.

Boosting Adversarial Transferability Against Defenses via Multi-Scale Transformation Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Reference 13

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Observation b957e21e-3e85-4a84-8806-247c53c17aec · inbound

Non-Adaptive Adversarial Face Generation cites this paper.

Non-Adaptive Adversarial Face Generation Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T17:03:31.987245Z

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Observation 5ea6cfdc-adde-4da6-941d-57b6e6e27ead · inbound

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers cites this paper.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T17:27:45.393420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ee085a2-49c5-4a96-af5f-1033e0a84a82 · inbound

Generating Transferrable Adversarial Examples via Local Mixing and Logits Optimization for Remote Sensing Object Recognition cites this paper.

Generating Transferrable Adversarial Examples via Local Mixing and Logits Optimization for Remote Sensing Object Recognition Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T22:10:18.098494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ad57b05-7076-4060-90ab-809636c1bce6 · inbound

Semantic Router: On the Feasibility of Hijacking MLLMs via a Single Adversarial Perturbation cites this paper.

Semantic Router: On the Feasibility of Hijacking MLLMs via a Single Adversarial Perturbation Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:03.836797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02f2a1f0-8448-4f38-a4d4-7c53c627ec3d · inbound

Universal Adversarial Attacks against Closed-Source MLLMs via Target-View Routed Meta Optimization cites this paper.

Universal Adversarial Attacks against Closed-Source MLLMs via Target-View Routed Meta Optimization Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:27:40.996459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 17e0653d-a977-452a-bd9d-5e5af97c1d15 · inbound

INTARG: Informed Real-Time Adversarial Attack Generation for Time-Series Regression cites this paper.

INTARG: Informed Real-Time Adversarial Attack Generation for Time-Series Regression Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:56:01.653880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e1aa8241-46e1-4b7e-9a3f-344c2fa0e16d · inbound

Physically-Induced Atmospheric Adversarial Perturbations: Enhancing Transferability and Robustness in Remote Sensing Image Classification cites this paper.

Physically-Induced Atmospheric Adversarial Perturbations: Enhancing Transferability and Robustness in Remote Sensing Image Classification Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:25:22.626474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cdbcdda1-9082-4d2c-ac05-669fd9f0245e · inbound

Escaping the Linearity Trap: Manifold Detours for Black-Box Adversarial Attacks on Singing Audio Deepfake Detection cites this paper.

Escaping the Linearity Trap: Manifold Detours for Black-Box Adversarial Attacks on Singing Audio Deepfake Detection Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:05:01.108892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c5a6c88f-1bbb-40f4-ad3c-3ae2001d5c63 · inbound

Robust Auto-associative Memory via Convolutional Restricted Hopfield Networks cites this paper.

Robust Auto-associative Memory via Convolutional Restricted Hopfield Networks Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:08:43.147925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 80baeb1f-4805-4ada-ba41-224cece87949 · inbound

Learning with Bilevel-Minimax Optimization for Efficient and Reliable Transfer Attacks cites this paper.

Learning with Bilevel-Minimax Optimization for Efficient and Reliable Transfer Attacks Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T00:32:37.323068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.