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Paper Citation Record · LEDGER

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower

As of 16 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:1908.09163.

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

pith.paper-citation-record.v1
1908.09163 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:24:19.193937Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

37 of 37 outbound references displayed

  • verified exact0
  • verified fuzzy32
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 92c5835b-0fc3-4ae0-a606-1065df5e4e08 · outbound

This paper cites Threat of adversarial at- tacks on deep learning in computer vision: A survey.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Threat of adversarial at- tacks on deep learning in computer vision: A survey

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:20.609756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:18.819816Z digest=sha256:9715638674573646dad22544e332b2c704600c2f77dbb67bd21fadf3453e6e93

Observation 4d15b55a-c266-403c-aeb7-4294e769d450 · outbound

This paper cites The vulnerability of learning to adversarial perturbation increases with intrinsic dimensionality.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower The vulnerability of learning to adversarial perturbation increases with intrinsic dimensionality

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:20.577720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:18.833249Z digest=sha256:c0456879a2078b032673086dded1d892cf9d59c5be0c48be5142d643aea615af

Observation 98899969-4b7a-4495-aad8-b204ca2822b4 · outbound

This paper cites NetVLAD: CNN architecture for weakly supervised place recognition.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower NetVLAD: CNN architecture for weakly supervised place recognition

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:20.544204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:18.840955Z digest=sha256:f60ae35bb5016181e2b76a7792043ac180f12309d52b5c9683276793f436cb2c

Observation 6463f1da-e67a-43e7-bf2b-832b2852f342 · outbound

This paper cites Aggregating deep convolutional features for image retrieval.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Aggregating deep convolutional features for image retrieval

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:20.518742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:18.848131Z digest=sha256:1e93e8c2c9b75a0d149dc73f775d46cecb5113990767c74bb295eaf9c3efeacf

Observation b0595c8e-f190-4ff4-a6ef-32bcde4e182e · outbound

This paper cites A limited memory algorithm for bound constrained optimization.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower A limited memory algorithm for bound constrained optimization

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:20.495223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:18.861610Z digest=sha256:8523d6de8ee0666c5197a26bf06d784971e81fd380640d9974105aadf196e9e6

Observation 3ae519a8-ec6e-4566-a3fd-e89c2143a8cf · outbound

This paper cites Hidden voice commands.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Hidden voice commands

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:20.455249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:18.872612Z digest=sha256:df36cf618640df43376e23e9d36a27f585d6642d44910637d1e9fcd6ea5d3259

Observation 55cadfc7-8b1d-4332-819a-408bb4c6c4d1 · outbound

This paper cites Towards evaluating the robustness of neural networks.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Towards evaluating the robustness of neural networks

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:20.424166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:18.879860Z digest=sha256:355892df4a9c474de241bd91aa74f7bb3e1e8a6e40d7695eb62ef5a802f06123

Observation 084aece6-5144-4d75-be5d-3d491bad82e3 · outbound

This paper cites Security-oriented picture-in-picture visual modifica- tions.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Security-oriented picture-in-picture visual modifica- tions

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:20.388550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:18.890784Z digest=sha256:d895b95513f06f9f4915f6e7f02b92ec3e127e515e8882a2ca51aadd837592db

Observation f1741f1c-8fbc-4cbe-88c3-84b2f1889586 · outbound

This paper cites Challenging the security of content-based image re- trieval systems.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Challenging the security of content-based image re- trieval systems

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:20.351245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:18.901444Z digest=sha256:0a6bec0d06c198ff763109d30d4235e3dfd0441f989ccd236fbb375746310fb1

Observation 49b1f1e6-0902-4a87-8ad9-f8c7d3f85343 · outbound

This paper cites Boosting adversarial at- tacks with momentum.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Boosting adversarial at- tacks with momentum

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:20.316645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:18.909686Z digest=sha256:d05ad61469d84993aeef3b9fec53fd14d911d6293088316bc40146e7e1a2b2f8

Observation 07605bc1-1a75-4c4a-88d1-bc7d16a8d728 · outbound

This paper cites Evaluation of GIST descriptors for web-scale image search.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Evaluation of GIST descriptors for web-scale image search

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:20.280989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:18.923105Z digest=sha256:ad8a0fb950bf7298c87aa53612981b05bd40a99a67225cc1ac26b0d563175533

Observation 303a2092-0f0b-4f51-87d1-06bb0327abe6 · outbound

This paper cites Explaining and harnessing adversarial examples.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Explaining and harnessing adversarial examples

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-14T11:24:18.932638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:24:18.932638Z digest=sha256:fb67865f5b50579b792ed960c71ceac7fe8b48298bc99fe88d6e4b7df7aed3d6

Observation cf75c0bd-1459-4d4e-b0b2-731f86efb83b · outbound

This paper cites Deep residual learning for image recognition.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Deep residual learning for image recognition

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-14T11:24:18.944833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:24:18.944833Z digest=sha256:cc707bd689a2dc5c620242f772c84e593226c7c71b4b435c95d458e628e6ae36

Observation d0a56327-1c1a-40cd-ad5b-77d68584d9f6 · outbound

This paper cites Ham- ming embedding and weak geometric consistency for large scale image search.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Ham- ming embedding and weak geometric consistency for large scale image search

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:20.210590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:18.954145Z digest=sha256:65b9638205e27f273200006cd0fc99df1edc9b254eb96bb66d6756cf52fe64af

Observation 9fa1f06f-c163-45ef-acca-6376b29d2fe7 · outbound

This paper cites Cross-dimensional weighting for aggregated deep convolu- tional features.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Cross-dimensional weighting for aggregated deep convolu- tional features

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:20.173796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:18.964247Z digest=sha256:3465d7f00adf5cf014a425b318eecc51a0ab50e3cd9b7fbf74c1f815966a5f0c

Observation 47662f4f-4e1d-4873-8c18-420a3dd8261a · outbound

This paper cites Adam: A method for stochastic optimization.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Adam: A method for stochastic optimization

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:20.137493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:18.972331Z digest=sha256:ec1a4938fb2cd430bf28d388aee80c87bd622a012daca85f0fa8dcfc4c35913f

Observation d6d4b37d-f01d-4092-87e6-7288caae89c1 · outbound

This paper cites Imagenet classification with deep convolutional neural net- works.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Imagenet classification with deep convolutional neural net- works

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-14T11:24:18.983434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:24:18.983434Z digest=sha256:5a4f8ebd599c17e039c986eae3e3b6671422345d287dd1a1e8913973e8538ce0

Observation 22ef1537-69c6-4073-9622-ccb8cf3b124c · outbound

This paper cites Adver- sarial examples in the physical world.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Adver- sarial examples in the physical world

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:20.045537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:18.993859Z digest=sha256:43516ef4488781271f32f947f277fc96d1e4402fb75146b4e07a594455d14f8c

Observation c292ed9a-6b29-40fd-b594-a74af29d3632 · outbound

This paper cites Universal perturbation attack against image retrieval.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Universal perturbation attack against image retrieval

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:20.004305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:19.003147Z digest=sha256:b6783d20d0419565773914ae8126757a4dfe2c89518198a5c937f9e881b640bf

Observation c21f65d1-2299-456c-bdb3-e9b896a0dc19 · outbound

This paper cites Who’s afraid of adversarial queries? the impact of image modifica- tions on content-based image retrieval.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Who’s afraid of adversarial queries? the impact of image modifica- tions on content-based image retrieval

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:19.966319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:19.010952Z digest=sha256:eedbfb22240a13ef3322237e368939daf919f2191d1c58d93bc597060c72dbef

Observation b028c090-d3a3-4014-b39a-0a717d8fc44f · outbound

This paper cites Distinctive image features from scale-invariant keypoints.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Distinctive image features from scale-invariant keypoints

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:19.931773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:19.017778Z digest=sha256:dd02a537b3f03791523c981420790dd8f790c7230416a4b923fda7fe8c03f86f

Observation 8f2f14a1-d0f5-4f6a-ba91-2ceef7c1840e · outbound

This paper cites Understanding deep image representations by inverting them.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Understanding deep image representations by inverting them

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-14T11:24:19.035444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:24:19.035444Z digest=sha256:c810eab8961c130d7f0f31695ba9c6fe0a5bdc9470f428a7e66f3bb3e363cbb7

Observation c0364372-98cf-464a-9315-9dc73317eaab · outbound

This paper cites Bags of local convolutional features for scalable instance search.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Bags of local convolutional features for scalable instance search

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:19.873950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:19.044306Z digest=sha256:5c4cba08986875a329ef67736d083d535b85ab04bbb712ed4bd8c57e531cd00a

Observation dd6508b9-7278-4e37-af5c-62b12d6775d1 · outbound

This paper cites Universal adversarial perturba- tions.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Universal adversarial perturba- tions

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:19.832208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:19.054206Z digest=sha256:57cfd518f734215cc722bcd54b49dbbdccc3ddabfe6a4fc48ea6702a999ddf99

Observation 58ae5296-8980-4a32-9e28-2f217aa49c88 · outbound

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

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower DeepFool: a simple and accurate method to fool deep neural networks

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:19.791627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:19.063348Z digest=sha256:a9bf86381b5f4e492059092f2a831bbdb025415fec2699e20a5af9815220ced2

Observation b50aeee6-4245-4415-8563-24eb381fca1e · outbound

This paper cites Large-scale image retrieval with attentive deep local features.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Large-scale image retrieval with attentive deep local features

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:19.749724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:19.076427Z digest=sha256:127f32d49a0de45b1ccc85fb00f333f0177bcb136268ee4e941bfa2ab68fef3a

Observation 0f000d1f-6d97-4776-a364-8ac6a9491c4a · outbound

This paper cites Siamese network of deep fisher-vector descriptors for image retrieval.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Siamese network of deep fisher-vector descriptors for image retrieval

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:19.710094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:19.087678Z digest=sha256:1f331a64bc01fa1f2594b4a72e631e3a9fd9e5c8d67d17473b5b7b65dbb0f91f

Observation ab6a127e-55fa-470e-9374-1d5959c54635 · outbound

This paper cites Transferability in machine learning: from phenomena to black-box attacks using adversarial samples.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Transferability in machine learning: from phenomena to black-box attacks using adversarial samples

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:19.673268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:19.098650Z digest=sha256:9c0ceb348f92e368e9186c5d2fec0788bd12468497b83f84352a37761dc68710

Observation 1c5b9371-8381-46fe-9af3-c8eaca8c2423 · outbound

This paper cites Practi- cal black-box attacks against machine learning.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Practi- cal black-box attacks against machine learning

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:19.628529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:19.108619Z digest=sha256:d0f37e5a768f25f11dd611e693481dd1c1dbf9ce7cb850f4577d66001aea983a

Observation 1e3b92e4-f1b7-48e3-8060-01eae0034b8b · outbound

This paper cites Revisiting Oxford and Paris: Large-scale image retrieval benchmarking.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Revisiting Oxford and Paris: Large-scale image retrieval benchmarking

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:19.576257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:19.121063Z digest=sha256:02e8eaa1cacfecccdcdd5bfffb357e49ffa6d7e1135cedb63dcb519a43d850b9

Observation a6e5bebf-58b6-427c-ad7d-d89b0bd4dfb0 · outbound

This paper cites Fine- tuning CNN image retrieval with no human annotation.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Fine- tuning CNN image retrieval with no human annotation

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:19.515209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:19.129205Z digest=sha256:d26206a96b051bb679e8d7e14ae718cf728fbc1f978ecb0b669534e81ab22c95

Observation 0406d81a-122b-402e-9c87-f90c6b838bed · outbound

This paper cites Visual instance retrieval with deep con- volutional networks.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Visual instance retrieval with deep con- volutional networks

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:19.467828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:19.138541Z digest=sha256:43cdd62415a86c7f05a277294ac9067bac28731b54b7845bb4cddc2686594c11

Observation 4c8b0a59-8615-4c78-a1d4-6861201481ce · outbound

This paper cites Imagenet large scale visual recognition challenge.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Imagenet large scale visual recognition challenge

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-14T11:24:19.153729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:24:19.153729Z digest=sha256:a7a5d7882b70dff61967541afbb65cfdb5e233d9e80a09f44f18edcb875760fd

Observation 388d0738-4c52-4710-a779-8f79d4490169 · outbound

This paper cites Very deep convo- lutional networks for large-scale image recognition.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Very deep convo- lutional networks for large-scale image recognition

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:19.393749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:19.167900Z digest=sha256:64117d73acef5b20bfb7ebd709352e26a84dc9c8261fed0ef1a62685e63d70ae

Observation 01b962b9-b4ac-46f3-9f48-b765f7d29ae7 · outbound

This paper cites In- triguing properties of neural networks.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower In- triguing properties of neural networks

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:19.355309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:19.175290Z digest=sha256:5c9e9de84d7115fe9776af12796a25d5722b978356a0b5e37ef8ac04bdf2c9c4

Observation 7a4840cf-3d5f-4373-aebd-99edb2f1d7a4 · outbound

This paper cites Particular ob- ject retrieval with integral max-pooling of CNN activations.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Particular ob- ject retrieval with integral max-pooling of CNN activations

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:19.321561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:19.185781Z digest=sha256:95547cd60bf1cb4af95b13046950dfd7feab22317ca3c0a9f5b2b7a5c435c2ba

Observation 137344f1-fd7f-4607-a269-684400ebd8dd · outbound

This paper cites Open set adversarial examples.

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Open set adversarial examples

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:19.282058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:24:19.193937Z digest=sha256:ee81b74b194100d1385fb3aaa7357aab62d6df8cb69d53b07fbed5767686bf18

Pith citing papers

No inbound Pith citation observations are available.