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Paper Citation Record · LEDGER

Towards Adversarially Robust Deep Metric Learning

As of 11 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2501.01025.

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

pith.paper-citation-record.v1
2501.01025 v2

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:40:29.663537Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

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

61 of 61 outbound references displayed

  • verified exact5
  • verified fuzzy6
  • unresolved50
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1541da85-4963-441b-b284-76a4aa251080 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Towards Adversarially Robust Deep Metric Learning , " * write output.state after.block = add.period write newline

Reference 1

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Observation 28e7f455-2deb-42a3-8a61-dcd80c2315b3 · outbound

This paper cites write newline.

Towards Adversarially Robust Deep Metric Learning write newline

Reference 2

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Observation 2fd72dea-1919-437a-bd62-35b180727ab9 · outbound

This paper cites an unresolved cited work.

Towards Adversarially Robust Deep Metric Learning Unresolved cited work

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 5e9fc3c0-0b51-4861-aa8b-857fff075d76 · outbound

This paper cites an unresolved cited work.

Towards Adversarially Robust Deep Metric Learning Unresolved cited work

Reference 4

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Observation 0f6e4866-d39b-48c6-9ed0-8e28069b29a2 · outbound

This paper cites an unresolved cited work.

Towards Adversarially Robust Deep Metric Learning Unresolved cited work

Reference 5

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Observation d71c7438-3117-4108-b130-dc2d80c05dc4 · outbound

This paper cites a ckinger, E.; and Shah, R. 1994. Signature verification using a.

Towards Adversarially Robust Deep Metric Learning a ckinger, E.; and Shah, R. 1994. Signature verification using a

Reference 6

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 023c7f7d-0349-4015-9a32-650bbe16b050 · outbound

This paper cites Towards Evaluating the Robustness of Neural Networks.

Towards Adversarially Robust Deep Metric Learning Towards Evaluating the Robustness of Neural Networks

Reference 7

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Observation 0a03b1b1-9e2f-4cf5-bdc4-49a704d79181 · outbound

This paper cites ALMN: Deep Embedding Learning with Geometrical Virtual Point Generating.

Towards Adversarially Robust Deep Metric Learning ALMN: Deep Embedding Learning with Geometrical Virtual Point Generating

Reference 8

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Observation 377422fc-3b7a-4db3-9496-427b8fbe0506 · outbound

This paper cites an unresolved cited work.

Towards Adversarially Robust Deep Metric Learning Unresolved cited work

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 0a1b5368-d14e-4a0f-a385-6b61c7216ed5 · outbound

This paper cites an unresolved cited work.

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Reference 10

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Observation f9397f5c-053f-496b-bd80-094bd9819365 · outbound

This paper cites an unresolved cited work.

Towards Adversarially Robust Deep Metric Learning Unresolved cited work

Reference 11

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Observation 68e318b9-15fe-487e-a595-bb652d97eaf4 · outbound

This paper cites an unresolved cited work.

Towards Adversarially Robust Deep Metric Learning Unresolved cited work

Reference 12

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Observation 26e6ec54-c8ab-44db-9d7d-71fef4607efa · outbound

This paper cites an unresolved cited work.

Towards Adversarially Robust Deep Metric Learning Unresolved cited work

Reference 13

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 6d54eeeb-2ab3-43d0-9576-c75c071de139 · outbound

This paper cites K.; Harandi, M.; and Sekhar, C.

Towards Adversarially Robust Deep Metric Learning K.; Harandi, M.; and Sekhar, C

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 14f25629-6e18-402f-9dc2-4de87b436089 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Towards Adversarially Robust Deep Metric Learning Explaining and Harnessing Adversarial Examples

Reference 15

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Observation 61372ba8-fa09-4816-ade7-78ada349a10d · outbound

This paper cites Countering Adversarial Images using Input Transformations.

Towards Adversarially Robust Deep Metric Learning Countering Adversarial Images using Input Transformations

Reference 16

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Observation b23272c3-554d-493e-a0e4-1fc2613579c6 · outbound

This paper cites an unresolved cited work.

Towards Adversarially Robust Deep Metric Learning Unresolved cited work

Reference 17

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation e59a8126-f8ad-4e34-b771-5316e13dc24c · outbound

This paper cites an unresolved cited work.

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Reference 18

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Observation f105a21e-9c77-4c09-9ca6-1d4ee81201a2 · outbound

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Towards Adversarially Robust Deep Metric Learning Unresolved cited work

Reference 19

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Observation 589a981f-5dfc-450a-ba85-f85714c50d4e · outbound

This paper cites an unresolved cited work.

Towards Adversarially Robust Deep Metric Learning Unresolved cited work

Reference 20

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 384e16fd-7902-4789-9036-e5bf24918f7b · outbound

This paper cites an unresolved cited work.

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Reference 21

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Observation f626aad7-e19d-45a1-a7c9-cf58cdb94c84 · outbound

This paper cites an unresolved cited work.

Towards Adversarially Robust Deep Metric Learning Unresolved cited work

Reference 22

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation d105c405-8264-4461-8ae5-406e27f5e617 · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

Towards Adversarially Robust Deep Metric Learning Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 23

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Observation 2a6f25bf-84c6-4b61-96e8-be29ee71e280 · outbound

This paper cites Proxy Anchor Loss for Deep Metric Learning.

Towards Adversarially Robust Deep Metric Learning Proxy Anchor Loss for Deep Metric Learning

Reference 24

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Observation 4ff53de3-2338-4479-afc5-fe8d05b30026 · outbound

This paper cites an unresolved cited work.

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Reference 25

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 6ebcb7a4-5dbf-4c13-b74c-da7ed3f50644 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Towards Adversarially Robust Deep Metric Learning Adam: A Method for Stochastic Optimization

Reference 26

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Observation f8ac88cd-5b00-4c5a-938d-fb779fc5144b · outbound

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Reference 27

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 9c5d525d-ae53-40ef-aa56-721a531f494a · outbound

This paper cites Interpolated Adversarial Training: Achieving Robust Neural Networks without Sacrificing Too Much Accuracy.

Towards Adversarially Robust Deep Metric Learning Interpolated Adversarial Training: Achieving Robust Neural Networks without Sacrificing Too Much Accuracy

Reference 28

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 0acc8454-5fc5-4eea-81bf-d90335a8518b · outbound

This paper cites an unresolved cited work.

Towards Adversarially Robust Deep Metric Learning Unresolved cited work

Reference 29

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Observation 7577219d-9d78-4051-9d3c-2b3e59b8a372 · outbound

This paper cites an unresolved cited work.

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Reference 30

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation e56bbeed-a80a-4cea-91d3-6caa1baea664 · outbound

This paper cites Decoupled Weight Decay Regularization.

Towards Adversarially Robust Deep Metric Learning Decoupled Weight Decay Regularization

Reference 31

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Observation c420cfdb-d08f-4b71-8283-45b2f06627b5 · outbound

This paper cites an unresolved cited work.

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Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 15ae086d-f269-40d8-ab63-75f4ae80cc26 · outbound

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

Towards Adversarially Robust Deep Metric Learning Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 33

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Unavailable: canonical work link unavailable.

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Observation 0e2b311a-7e0a-44d1-9bb2-169141ca8b67 · outbound

This paper cites K.; Ioffe, S.; and Singh, S.

Towards Adversarially Robust Deep Metric Learning K.; Ioffe, S.; and Singh, S

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation e88f565f-be4c-45f1-8f5c-aaf04858c119 · outbound

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Towards Adversarially Robust Deep Metric Learning Unresolved cited work

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 1c265ab4-ce27-4222-90fe-e20edb7b0eac · outbound

This paper cites Improving Adversarial Robustness via Promoting Ensemble Diversity.

Towards Adversarially Robust Deep Metric Learning Improving Adversarial Robustness via Promoting Ensemble Diversity

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation a6f4bca5-9319-4a94-976d-cbc564fdd265 · outbound

This paper cites Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks.

Towards Adversarially Robust Deep Metric Learning Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks

Reference 37

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local_arxiv, observed 2026-08-10T22:40:30.064047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 6f541f0e-9002-4916-be9a-02551f7ff008 · outbound

This paper cites Exploring Adversarial Robustness of Deep Metric Learning.

Towards Adversarially Robust Deep Metric Learning Exploring Adversarial Robustness of Deep Metric Learning

Reference 38

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no resolver link, observed 2026-08-10T22:40:29.416088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:40:29.416088Z digest=sha256:eb00ec33cffebc77f3a5ad6fb0076f15442592c1cf17b46abc9b4380a8cf2a58

Observation 9f837c5e-840c-45c7-909e-e24220f39f1b · outbound

This paper cites The Limitations of Deep Learning in Adversarial Settings.

Towards Adversarially Robust Deep Metric Learning The Limitations of Deep Learning in Adversarial Settings

Reference 39

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source=arxiv_source observed=2026-08-10T22:40:29.424926Z digest=sha256:d46d58bee9be35fe2bfb2309eaaa5a3336e740861bc642201568dd8cac36df48

Observation 38a09bc9-eb9e-4160-a544-f64f2b86e0f1 · outbound

This paper cites M.; Vedaldi, A.; and Zisserman, A.

Towards Adversarially Robust Deep Metric Learning M.; Vedaldi, A.; and Zisserman, A

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-10T22:40:30.621040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:40:29.432088Z digest=sha256:ed1b8606f9f6639cd470337101d227b1611fb923993054c2a0dcb911c251d097

Observation 557a0970-fac5-4072-97a7-0e8bffe54bc8 · outbound

This paper cites G.; Stra z ar, M.; and Zupan, B.

Towards Adversarially Robust Deep Metric Learning G.; Stra z ar, M.; and Zupan, B

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-10T22:40:30.603722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:40:29.445160Z digest=sha256:420c202b887b82368abaa52c1b96b7ca77e93e46441bf805ae07dd324dcb977a

Observation 11525a49-fdcf-4b1a-ab75-7cd756ea0208 · outbound

This paper cites SoftTriple Loss: Deep Metric Learning Without Triplet Sampling.

Towards Adversarially Robust Deep Metric Learning SoftTriple Loss: Deep Metric Learning Without Triplet Sampling

Reference 42

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verified exact
local_arxiv, observed 2026-08-10T22:40:29.974365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:40:29.458088Z digest=sha256:2842ecb80252bddec6b295446560f58c0be455175f64577c30287689a3e84fd5

Observation 55dad838-f1b7-4d05-9944-0cf9cff683ea · outbound

This paper cites an unresolved cited work.

Towards Adversarially Robust Deep Metric Learning Unresolved cited work

Reference 43

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raw_fallback, observed 2026-08-10T22:40:30.579010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:40:29.467072Z digest=sha256:b07254eec3df99c43c4567692d45fec907d357a50eeeea1fb27ff627c8dd6f6c

Observation f90c8d2a-c288-43ac-aef0-8081595ec21f · outbound

This paper cites an unresolved cited work.

Towards Adversarially Robust Deep Metric Learning Unresolved cited work

Reference 44

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raw_fallback, observed 2026-08-10T22:40:30.563113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:40:29.474589Z digest=sha256:0bb10991df6c3d669d1bb1afa5f50ea72f5643e64f22e68de5442e4b7d55a0d2

Observation 458b40ec-3ab3-427e-947b-a7c4a053ddf5 · outbound

This paper cites an unresolved cited work.

Towards Adversarially Robust Deep Metric Learning Unresolved cited work

Reference 45

Resolution
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raw_fallback, observed 2026-08-10T22:40:30.534407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:40:29.480107Z digest=sha256:b5d0f0562fb8ccea64c2de970fe047abf0e9c8e787df66db9f7dd77c2575cf12

Observation a2dcd0d3-1449-43f1-ae22-459e938ff642 · outbound

This paper cites Revisiting Training Strategies and Generalization Performance in Deep Metric Learning.

Towards Adversarially Robust Deep Metric Learning Revisiting Training Strategies and Generalization Performance in Deep Metric Learning

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:40:29.929726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:40:29.485326Z digest=sha256:5ef6ed233f1437e264824f5782ba359ec43016bd425ce2bdc54d8f1f6b65633d

Observation 865e11e2-458d-4a7f-82d0-0659da00db45 · outbound

This paper cites MobileNetV2: Inverted Residuals and Linear Bottlenecks.

Towards Adversarially Robust Deep Metric Learning MobileNetV2: Inverted Residuals and Linear Bottlenecks

Reference 47

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no resolver link, observed 2026-08-10T22:40:29.491828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:40:29.491828Z digest=sha256:85d82b76f2881980768b8d2aeb7c1a693d5251eb1fd0a2d50cfce5bbbbfe4b46

Observation a560055e-b367-4c73-805d-cdf4596fbd7c · outbound

This paper cites an unresolved cited work.

Towards Adversarially Robust Deep Metric Learning Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:40:30.513693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:40:29.505115Z digest=sha256:0d80ad7e6f8f3331772109d3223f95b640edb05dc2059a84ec0a9929eea1fcb8

Observation 50407477-d77d-431a-a58d-35c73b20daa6 · outbound

This paper cites Constrained Deep Metric Learning for Person Re-identification.

Towards Adversarially Robust Deep Metric Learning Constrained Deep Metric Learning for Person Re-identification

Reference 49

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no resolver link, observed 2026-08-10T22:40:29.518363Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T22:40:29.518363Z digest=sha256:0a8819f561590d00c82a73b453c069eb99981d7d9927c838c8eab08f7edd4873

Observation 1c3e1ae9-15b8-4e58-9efe-69bbd60823c9 · outbound

This paper cites H.; and Hospedales, T.

Towards Adversarially Robust Deep Metric Learning H.; and Hospedales, T

Reference 50

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no resolver link, observed 2026-08-10T22:40:29.526253Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T22:40:29.526253Z digest=sha256:2f747ac396649d07a4fbb86fd32ffa2463992aa3fa9a1c990887c6d2f7eeac91

Observation 2455ac8c-393c-4e86-bc0a-737b9f97500c · outbound

This paper cites Intriguing properties of neural networks.

Towards Adversarially Robust Deep Metric Learning Intriguing properties of neural networks

Reference 51

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T22:40:29.531728Z digest=sha256:9207acdfb5630cf5ef30298a45095bdeed72b9980d17f3b7c3f5b3802e1a670a

Observation a1ef10fc-c714-4141-88be-bcf05fb85485 · outbound

This paper cites Manifold Mixup: Better Representations by Interpolating Hidden States.

Towards Adversarially Robust Deep Metric Learning Manifold Mixup: Better Representations by Interpolating Hidden States

Reference 52

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no resolver link, observed 2026-08-10T22:40:29.548393Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T22:40:29.548393Z digest=sha256:cb3034fe1fe4af2137d07343092ded5e766116e7169435bd6ff1aa32ba49ecbd

Observation 642fbb2f-5754-4ad2-bf7a-092355433ad2 · outbound

This paper cites an unresolved cited work.

Towards Adversarially Robust Deep Metric Learning Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:40:30.485694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:40:29.570550Z digest=sha256:949e1c35de9676edb2b202120f8a16ed19f5a851b129eaa32bc586dad66fe819

Observation 2de4012a-49ae-4416-9753-5bee6c51eae2 · outbound

This paper cites an unresolved cited work.

Towards Adversarially Robust Deep Metric Learning Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:40:30.464600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:40:29.587834Z digest=sha256:17a13d82748cdc10afef009439be38a98b96f8f0bda957f476ba9e2ec1552d51

Observation baaab654-88f3-4a92-8379-c85f3e53f5a8 · outbound

This paper cites T.; and Ni, L.

Towards Adversarially Robust Deep Metric Learning T.; and Ni, L

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:40:30.445116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:40:29.602465Z digest=sha256:44885cdfff43f84523de853bbad309f5d798cd7511701b14bd1cd0c38b8daf10

Observation b374c175-db23-47c6-a474-8858b0d40c67 · outbound

This paper cites an unresolved cited work.

Towards Adversarially Robust Deep Metric Learning Unresolved cited work

Reference 56

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unresolved
raw_fallback, observed 2026-08-10T22:40:30.423187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:40:29.609470Z digest=sha256:21403f6bafdb67748217856bc04ada00affd270b421e8b5b570ac032cff7e3cb

Observation 91289af8-fd55-4df9-88a4-c0de65a5a664 · outbound

This paper cites an unresolved cited work.

Towards Adversarially Robust Deep Metric Learning Unresolved cited work

Reference 57

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unresolved
raw_fallback, observed 2026-08-10T22:40:30.395179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:40:29.623836Z digest=sha256:a350900407d8e12f0586e7ba07b885b6d5274bfd4ede58410324b804d46f59a2

Observation 9c96d5f9-9772-4133-b5a4-38506386bc4f · outbound

This paper cites an unresolved cited work.

Towards Adversarially Robust Deep Metric Learning Unresolved cited work

Reference 58

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raw_fallback, observed 2026-08-10T22:40:30.360391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:40:29.634821Z digest=sha256:e57da50b631639049ebf7360cf571da92788ade0f9252cf8814154ac5ec8c628

Observation 0acacf78-a73d-4946-a75b-e9c68f8b4b1c · outbound

This paper cites Mitigating Adversarial Effects Through Randomization.

Towards Adversarially Robust Deep Metric Learning Mitigating Adversarial Effects Through Randomization

Reference 59

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unresolved
no resolver link, observed 2026-08-10T22:40:29.642000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:40:29.642000Z digest=sha256:09dd5daf543ea5a7ec0e3cf5e35af0dac082a7639f8b10c4c60b4d6d10850e01

Observation de0eb9e4-d3da-44ef-beb1-ee3997b758c9 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Towards Adversarially Robust Deep Metric Learning mixup: Beyond Empirical Risk Minimization

Reference 60

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unresolved
no resolver link, observed 2026-08-10T22:40:29.652228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:40:29.652228Z digest=sha256:f68fd83fcecfc026e7f29ed405f94b325dc2f36706203fd855833e3adf65c239

Observation a7c12fd3-88fd-4431-9b61-dfa4d9b0a00c · outbound

This paper cites Theoretically Principled Trade-off between Robustness and Accuracy.

Towards Adversarially Robust Deep Metric Learning Theoretically Principled Trade-off between Robustness and Accuracy

Reference 61

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no resolver link, observed 2026-08-10T22:40:29.663537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:40:29.663537Z digest=sha256:c23561aa1f0a93447bd71a78fd06158149b036206ec45dbc73dabb300f45f728

Pith citing papers

No inbound Pith citation observations are available.