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Paper Citation Record · LEDGER

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search

As of 23 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2506.06906.

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

pith.paper-citation-record.v1
2506.06906 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:50:45.466460Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

48 of 48 outbound references displayed

  • verified exact0
  • verified fuzzy38
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2b913310-95d6-43d2-8fcf-c7523dc740fe · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:40.428590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d55832c2-5041-4c25-915e-308c152001fd · outbound

This paper cites In: International Conference on Machine Learning, pp.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search In: International Conference on Machine Learning, pp

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:40.527880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:40.527880Z digest=sha256:745d2f5883c33e1e1ab83eeb3404676d78342b8148203bebace1f0aece0082a2

Observation 5a2a3f2f-798b-4435-9e39-01658e30e5b8 · outbound

This paper cites International conference on learning representations (2021).

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search International conference on learning representations (2021)

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:52.724136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:40.633486Z digest=sha256:03b32a5ef3562796bad8918322e73e4ddcca059ec4ea528772fc72ad081238f2

Observation f2da975b-6615-4e75-a76b-a6d4c45dc97e · outbound

This paper cites In: Proceed- ings of the European Conference on Computer Vision (ECCV), pp.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search In: Proceed- ings of the European Conference on Computer Vision (ECCV), pp

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:52.586313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:40.754930Z digest=sha256:cc7e0d93b3fdac0f3e30ed5305415dad96fe4cac522784f489174b58a1849cb7

Observation 71bd2171-6b6a-44fe-a47d-2c7b67814c70 · outbound

This paper cites Advances in Neural Information Processing Systems34, 12077–12090 (2021).

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search Advances in Neural Information Processing Systems34, 12077–12090 (2021)

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:40.867893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:40.867893Z digest=sha256:90d9f8dc87f0cbfcc09b4b708588bc122f3b931e8e30b7ee0d2fabe186bd7a51

Observation 860fb188-100c-41f0-8fee-b2edc06e29fe · outbound

This paper cites In: The Eleventh International Conference on Learning Representations (2022).

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search In: The Eleventh International Conference on Learning Representations (2022)

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:52.431695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:40.963263Z digest=sha256:241c8fb0868c80ce2e8faddba2e54c8bd70fe1f1b183091ca18dba3301aef6f2

Observation 36488423-d0bb-41e9-afdc-a9b5d1c5fcc1 · outbound

This paper cites In: 2nd International Conference on Learning Representations, ICLR 2014 (2014).

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search In: 2nd International Conference on Learning Representations, ICLR 2014 (2014)

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:52.288237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:41.058366Z digest=sha256:e3fed9fa3d01af292918b719ff9054512e98635f69c101622b9d2f55b53fadfa

Observation 822ec90b-ab90-47c4-8ca4-21d098f5a067 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search Explaining and Harnessing Adversarial Examples

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:41.153913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:41.153913Z digest=sha256:00b117d48d180500bbeb45bc86bb3bf4f20db179a1e53ee63693f7cb75a9ea92

Observation 6a6469e0-45d7-4823-a69a-13d1afe90cbf · outbound

This paper cites Multimedia Tools and Applications81(15), 21919–21938 (2022).

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search Multimedia Tools and Applications81(15), 21919–21938 (2022)

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:52.167211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:41.248897Z digest=sha256:6c14ca0ff90993ba9d2136980c18995b99b6e6648a7b15c8ce336d450d6ef671

Observation 54b29073-ff68-415e-b0d7-38325788b9ec · outbound

This paper cites In: 2016 IEEE European Symposium on Security and Privacy (EuroS&P), pp.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search In: 2016 IEEE European Symposium on Security and Privacy (EuroS&P), pp

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:52.056297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:41.372582Z digest=sha256:f4735ba297d96e0187f85fc61cb367698af3bdbb763a9fb779fc0b12fea7be4e

Observation c51efcb7-4fd0-480e-8b8e-9edf3b824272 · outbound

This paper cites International Conference on Learning Representations (2018).

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search International Conference on Learning Representations (2018)

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:51.878173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:41.518954Z digest=sha256:9ed96ab91db7dbf23a1095a3ce7659391f85d74a2ef55a6bd43ca4900ffded52

Observation 404c76ca-9e50-45ce-959d-8c70f9c60e4c · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:41.648858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:41.648858Z digest=sha256:dfa3d33f39087c191c33b9a648eb550ca6aeb0ed206edc2df65351ec2f212ed0

Observation ea250653-7649-4217-91c6-69bd1fdbb9f0 · outbound

This paper cites In: 2017 Ieee Symposium on Security and Privacy (sp), pp.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search In: 2017 Ieee Symposium on Security and Privacy (sp), pp

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:51.722227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:41.797131Z digest=sha256:cbd837c867b2130fe20323024c8d86e7845d38446daaa955fecbafaa5aacb09b

Observation 6fdcb876-29c3-4b4f-a019-eef7017743c9 · outbound

This paper cites In: International Conference on Learning Representations (2018).

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search In: International Conference on Learning Representations (2018)

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:51.555264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:41.928237Z digest=sha256:6f401a37aa95446155a4838d8249f74b063e25e8d37f14baa2b0502a5183c5e8

Observation 0f5f929f-7999-4377-88d3-2c8bdf6e3342 · outbound

This paper cites IEEE Transactions on Evolutionary Computation23(5), 828–841 (2019).

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search IEEE Transactions on Evolutionary Computation23(5), 828–841 (2019)

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:51.274425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:42.078040Z digest=sha256:9a76184f468eb891190665e4fa86285d09e7dcb950645fb756e3bab61367c692

Observation 05e8cf58-56d4-4d70-90e2-891c78a40a90 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:51.024265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:42.228797Z digest=sha256:d8f26f7e63a57764bb5550fa34f45bc77d48a5e80ace0163e4840ca66ae253ff

Observation 63a3ba24-19c7-4a42-9b5a-9a8b2c7321a8 · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:50.871333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 7e06d99a-6b87-47cd-b122-982d3d3532dc · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:50.700253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:42.531425Z digest=sha256:4173bae0d9d884e2b271684c497e7e4f9e9fb6a7e90b81ffc0194e215adc1641

Observation 225ce5fc-c616-4622-a3fb-63dc2c0bfc42 · outbound

This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:50.539257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation cb0836a6-40e6-4193-9811-c84caee81685 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:50.385261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:42.759586Z digest=sha256:7addc6b19e1c4b32a697d75cad63c80a2351f50e6c43e29832ee2603dd15033f

Observation 5bf51489-c391-47f4-84c8-78ad4b5f2d31 · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:50.214617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:42.876327Z digest=sha256:d0f1a0033bd019a72bcecea5342b9fe8c12a74ecd74d1fb1a747b86e785bd862

Observation 4d6ef39c-d96f-4d3b-9de4-e35404169b8b · outbound

This paper cites Advances in neural information processing systems30(2017).

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search Advances in neural information processing systems30(2017)

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:50.053501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:42.954803Z digest=sha256:280ca9d6663ac2101572f967992d2bc6e9d2fda8faeddcaa02262651f9eefc67

Observation eee5c489-d421-4188-9b5b-8485482454f9 · outbound

This paper cites ACM Transactions on Graphics (tog)38(5), 1–12 (2019).

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search ACM Transactions on Graphics (tog)38(5), 1–12 (2019)

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:43.023312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:43.023312Z digest=sha256:2d117fec928741fa764d4495ab7a768aad222c306e8f42c85342fcba7c3dc4f8

Observation ff26cebd-77ca-492d-b791-37e5d8162376 · outbound

This paper cites Computational Visual Media7, 187–199 (2021).

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search Computational Visual Media7, 187–199 (2021)

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:49.899158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:43.099294Z digest=sha256:ad4568bf17772203a263df7c67dc178e7ad9eabcd2c42d63420e2cbc1fa67a0e

Observation fab087d4-81f0-4619-bd41-89d64c7be0ba · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:49.716557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:43.168875Z digest=sha256:1b08088bbe8e2c9e6eac1d5637af6978f8f8c9120857b282f21cd92fc7efcc84

Observation 7c832a4c-9563-4889-9b8c-e8d14fd700a5 · outbound

This paper cites In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:49.511050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:43.258059Z digest=sha256:ef872d2ded8939214ab9a220513f3995a8d919fa590e7fbd0b6d2644bf609b32

Observation b903c458-f4d7-4ac0-9e25-7abee3e56b99 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:49.297863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:43.346606Z digest=sha256:0d65e243abae1d8c5a2d545fe48e3fec5743b50871fdeff0c0e80d582ba68c93

Observation a72c7270-d362-4115-882a-2904a6008a58 · outbound

This paper cites In: Computer Vision–ECCV 2020: 16th Euro- pean Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XII 16, pp.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search In: Computer Vision–ECCV 2020: 16th Euro- pean Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XII 16, pp

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:49.093452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:43.439406Z digest=sha256:6cc2c488b5ad597ae8a8b6400020cb741eb03b884b967c69d775a6d11f14c128

Observation c8f5931c-193e-4167-a6b3-6d06c7ece552 · outbound

This paper cites Understanding Key Point Cloud Features for Development Three-dimensional Adversarial Attacks.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search Understanding Key Point Cloud Features for Development Three-dimensional Adversarial Attacks

Reference 29

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T05:50:45.656574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:43.509981Z digest=sha256:13925ea64f5b6c5d861bd7107683153c44195d6da9b855893736a8ed3d1882e1

Observation 1dd2d2d1-6cc7-4d2f-bf64-83778a1c1350 · outbound

This paper cites In: 2023 6th International Conference on Pattern Recognition and Image Analysis (IPRIA), pp.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search In: 2023 6th International Conference on Pattern Recognition and Image Analysis (IPRIA), pp

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:48.890013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:43.619079Z digest=sha256:48ab45bfcc59c3fe901a00afbf0ceb477dc6f09449a19ffb69a5f802bda7f915

Observation 053f3417-428d-4ad8-8822-7372a19109bc · outbound

This paper cites IEEE Access11, 144274–144295 (2023).

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search IEEE Access11, 144274–144295 (2023)

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:48.722932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:43.710293Z digest=sha256:db88b3536b90c6932b20213a30c75a9a205893724521289466b6d7c5e339edd0

Observation 49cadb09-41bd-4e4d-aea5-e1ae984716fc · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search In: Proceedings of the AAAI Conference on Artificial Intelligence, vol

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:48.545088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:43.783793Z digest=sha256:e19fc2751ecb6a354a96032663a31b11d4abdb807622f20492945814a18ff8c4

Observation 7d4911dd-7bcc-41a1-9ae3-f807cf5fc990 · outbound

This paper cites In: 2021 IEEE Symposium on Security and Privacy (SP), pp.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search In: 2021 IEEE Symposium on Security and Privacy (SP), pp

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:48.365763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:43.866692Z digest=sha256:fcf5650910f40f8ffe10927c7b15be02cd05af8c808f7af7009690ac8ab8b5ca

Observation 16fe84ed-e966-4b61-8856-013cc40484fb · outbound

This paper cites In: 2019 IEEE International Conference on Image Processing (ICIP), pp.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search In: 2019 IEEE International Conference on Image Processing (ICIP), pp

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:48.202578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:43.956158Z digest=sha256:72aeb8504939506fb180a61e070f1e22f59580115452a382acb31cebbc920bdd

Observation 86fdc6b4-9346-40dc-a969-011c30baaecf · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:48.026034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:44.027056Z digest=sha256:a6ef1459726dc3574c57c677d1d29b793a385562254e4178108b0875b3d3d7f4

Observation 932058c4-818b-47ae-ac15-5809e015a99a · outbound

This paper cites IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:44.157214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:44.157214Z digest=sha256:5a64be2edbeb6882f7e4542ea3528dd04415d22b12bfb2a7ecd72698faeea8aa

Observation 6014d75b-d9d5-4b44-9f3d-a12328192698 · outbound

This paper cites Plos one18(2), 0271388 (2023).

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search Plos one18(2), 0271388 (2023)

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:47.785053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:44.269431Z digest=sha256:9ff2dffbf789dce0bf76b13dd7a828d2628aa40edfa35b5138f231acdfd41b80

Observation 702b4d91-6d1c-4353-97da-2bacf42411a9 · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:47.576657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:44.396466Z digest=sha256:eae438ad09038b82a15cb3e282b0a6b44e67c430238bcb5d03fe64fd08aff1ee

Observation b616944f-fb80-46fb-94ae-c4392cdff9ec · outbound

This paper cites ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:44.469839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:44.469839Z digest=sha256:fca6f214a9c9855329aa2b8034a49009b6ace73a61456ac0e1dc6e2ca0706f70

Observation 283c1225-3ab7-47bc-9ac3-67a4a3dbb554 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:47.358258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:44.589062Z digest=sha256:c19e936bb6254d0c67fcd414dd986fd3fa1f27f73456a0e60d3e0cf53f19537b

Observation 5ba0217e-4d26-4a98-8a73-e427bfc77c09 · outbound

This paper cites IEEE Access10, 50974–50984 (2022).

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search IEEE Access10, 50974–50984 (2022)

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:47.122260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:44.703537Z digest=sha256:1852a080b643ad1875367456b4ca9640f91f2a04475ad0aef8c411c9cabd9ae1

Observation 4e2c257a-b895-4b29-a2a2-89141a347e7a · outbound

This paper cites Adversarial Attack and Defense on Point Sets.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search Adversarial Attack and Defense on Point Sets

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:44.808655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:44.808655Z digest=sha256:6eabbbe078a50d9522d5c5ce48be4be74e1c580ab63885fb2c7f5235ff56d34e

Observation 5dfd284a-d91a-492d-a8ee-a0f15e385be5 · outbound

This paper cites IEEE Transactions on Information Forensics and Security18, 3267–3276 (2023).

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search IEEE Transactions on Information Forensics and Security18, 3267–3276 (2023)

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:46.918662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:44.946400Z digest=sha256:c39c38ddcea0b3d59bda1127d93881ca685a2f651999ef2afdddd2e2c50ba941

Observation b6d68590-d9e0-4786-8b9d-8882c154ff50 · outbound

This paper cites In: Proceedings of the 31st ACM International Conference on Multimedia, pp.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search In: Proceedings of the 31st ACM International Conference on Multimedia, pp

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:46.700634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:45.027874Z digest=sha256:5119bc7c87293637d16c7f8cd61815f5aefb6ebaf2a79f219b728af8edd4feee

Observation 6f2b1062-3ab5-4ae3-a630-93d3acb75274 · outbound

This paper cites Neurocomputing505, 58–67 (2022).

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search Neurocomputing505, 58–67 (2022)

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:46.475780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:45.164041Z digest=sha256:e487d2f482bf3fe0c2228d7dd06b5338b875528fdcd3df42b6e3be4e082616b0

Observation 8be2fc31-52d3-41c7-98ac-d116c7bdd752 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:46.304011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:45.256107Z digest=sha256:d664d64d8b23f64bb154354eb011c63746c82527830aa860c96f2424f5d8b677

Observation 5cb80f91-b1eb-46cb-a717-03fb88986156 · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:46.099566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:45.334753Z digest=sha256:32f29ded21c2dea52637e0373c5521a99e3478059a175ac306c9def6747c556e

Observation c65f7521-b80a-47ce-acf1-1e04e88de03c · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:45.865157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:50:45.466460Z digest=sha256:6a596333fd0e7f7cc3b5557ac65e2c3d0f1591cdcf4fb079f73997e0c4692358

Pith citing papers

No inbound Pith citation observations are available.