Frequency Oracle for Sensitive Data Monitoring (Student Abstract) Article Swipe
Richard Sances
,
Olivera Kotevska
,
Paul Laiu
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1609/aaai.v38i21.30507
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1609/aaai.v38i21.30507
As data privacy issues grow, finding the best privacy preservation algorithm for each situation is increasingly essential. This research has focused on understanding the frequency oracles (FO) privacy preservation algorithms. FO conduct the frequency estimation of any value in the domain. The aim is to explore how each can be best used and recommend which one to use with which data type. We experimented with different data scenarios and federated learning settings. Results showed clear guidance on when to use a specific algorithm.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1609/aaai.v38i21.30507
- https://ojs.aaai.org/index.php/AAAI/article/download/30507/32646
- OA Status
- diamond
- References
- 3
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4393161283
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4393161283Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1609/aaai.v38i21.30507Digital Object Identifier
- Title
-
Frequency Oracle for Sensitive Data Monitoring (Student Abstract)Work title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-03-24Full publication date if available
- Authors
-
Richard Sances, Olivera Kotevska, Paul LaiuList of authors in order
- Landing page
-
https://doi.org/10.1609/aaai.v38i21.30507Publisher landing page
- PDF URL
-
https://ojs.aaai.org/index.php/AAAI/article/download/30507/32646Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://ojs.aaai.org/index.php/AAAI/article/download/30507/32646Direct OA link when available
- Concepts
-
Oracle, Computer science, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
3Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4393161283 |
|---|---|
| doi | https://doi.org/10.1609/aaai.v38i21.30507 |
| ids.doi | https://doi.org/10.1609/aaai.v38i21.30507 |
| ids.openalex | https://openalex.org/W4393161283 |
| fwci | 0.0 |
| type | article |
| title | Frequency Oracle for Sensitive Data Monitoring (Student Abstract) |
| biblio.issue | 21 |
| biblio.volume | 38 |
| biblio.last_page | 23643 |
| biblio.first_page | 23642 |
| topics[0].id | https://openalex.org/T10320 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.4936999976634979 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1702 |
| topics[0].subfield.display_name | Artificial Intelligence |
| topics[0].display_name | Neural Networks and Applications |
| topics[1].id | https://openalex.org/T12761 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.45829999446868896 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1702 |
| topics[1].subfield.display_name | Artificial Intelligence |
| topics[1].display_name | Data Stream Mining Techniques |
| topics[2].id | https://openalex.org/T10317 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.4399999976158142 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1705 |
| topics[2].subfield.display_name | Computer Networks and Communications |
| topics[2].display_name | Advanced Database Systems and Queries |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C55166926 |
| concepts[0].level | 2 |
| concepts[0].score | 0.7386810779571533 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q2892946 |
| concepts[0].display_name | Oracle |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.5391007661819458 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C199360897 |
| concepts[2].level | 1 |
| concepts[2].score | 0.1373845636844635 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q9143 |
| concepts[2].display_name | Programming language |
| keywords[0].id | https://openalex.org/keywords/oracle |
| keywords[0].score | 0.7386810779571533 |
| keywords[0].display_name | Oracle |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.5391007661819458 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/programming-language |
| keywords[2].score | 0.1373845636844635 |
| keywords[2].display_name | Programming language |
| language | en |
| locations[0].id | doi:10.1609/aaai.v38i21.30507 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210191458 |
| locations[0].source.issn | 2159-5399, 2374-3468 |
| locations[0].source.type | conference |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2159-5399 |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Proceedings of the AAAI Conference on Artificial Intelligence |
| locations[0].source.host_organization | https://openalex.org/P4310320058 |
| locations[0].source.host_organization_name | Association for the Advancement of Artificial Intelligence |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320058 |
| locations[0].source.host_organization_lineage_names | Association for the Advancement of Artificial Intelligence |
| locations[0].license | |
| locations[0].pdf_url | https://ojs.aaai.org/index.php/AAAI/article/download/30507/32646 |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Proceedings of the AAAI Conference on Artificial Intelligence |
| locations[0].landing_page_url | https://doi.org/10.1609/aaai.v38i21.30507 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5067928034 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Richard Sances |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I859038795 |
| authorships[0].affiliations[0].raw_affiliation_string | Virginia Polytechnic Institute and State University |
| authorships[0].institutions[0].id | https://openalex.org/I859038795 |
| authorships[0].institutions[0].ror | https://ror.org/02smfhw86 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I859038795 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | Virginia Tech |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Richard Sances |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Virginia Polytechnic Institute and State University |
| authorships[1].author.id | https://openalex.org/A5021188335 |
| authorships[1].author.orcid | https://orcid.org/0000-0003-1677-2243 |
| authorships[1].author.display_name | Olivera Kotevska |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I1289243028 |
| authorships[1].affiliations[0].raw_affiliation_string | Oak Ridge National Laboratory |
| authorships[1].institutions[0].id | https://openalex.org/I1289243028 |
| authorships[1].institutions[0].ror | https://ror.org/01qz5mb56 |
| authorships[1].institutions[0].type | facility |
| authorships[1].institutions[0].lineage | https://openalex.org/I1289243028, https://openalex.org/I1330989302, https://openalex.org/I39565521, https://openalex.org/I4210159294 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | Oak Ridge National Laboratory |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Olivera Kotevska |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Oak Ridge National Laboratory |
| authorships[2].author.id | https://openalex.org/A5110961453 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Paul Laiu |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I1289243028 |
| authorships[2].affiliations[0].raw_affiliation_string | Oak Ridge National Laboratory |
| authorships[2].institutions[0].id | https://openalex.org/I1289243028 |
| authorships[2].institutions[0].ror | https://ror.org/01qz5mb56 |
| authorships[2].institutions[0].type | facility |
| authorships[2].institutions[0].lineage | https://openalex.org/I1289243028, https://openalex.org/I1330989302, https://openalex.org/I39565521, https://openalex.org/I4210159294 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | Oak Ridge National Laboratory |
| authorships[2].author_position | last |
| authorships[2].raw_author_name | Paul Laiu |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Oak Ridge National Laboratory |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://ojs.aaai.org/index.php/AAAI/article/download/30507/32646 |
| open_access.oa_status | diamond |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Frequency Oracle for Sensitive Data Monitoring (Student Abstract) |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10320 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.4936999976634979 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1702 |
| primary_topic.subfield.display_name | Artificial Intelligence |
| primary_topic.display_name | Neural Networks and Applications |
| related_works | https://openalex.org/W2748952813, https://openalex.org/W2073713056, https://openalex.org/W3110702597, https://openalex.org/W2078761926, https://openalex.org/W2110441383, https://openalex.org/W2125620709, https://openalex.org/W1498872724, https://openalex.org/W2390279801, https://openalex.org/W4233149903, https://openalex.org/W2358668433 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.1609/aaai.v38i21.30507 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210191458 |
| best_oa_location.source.issn | 2159-5399, 2374-3468 |
| best_oa_location.source.type | conference |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2159-5399 |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Proceedings of the AAAI Conference on Artificial Intelligence |
| best_oa_location.source.host_organization | https://openalex.org/P4310320058 |
| best_oa_location.source.host_organization_name | Association for the Advancement of Artificial Intelligence |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320058 |
| best_oa_location.source.host_organization_lineage_names | Association for the Advancement of Artificial Intelligence |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://ojs.aaai.org/index.php/AAAI/article/download/30507/32646 |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Proceedings of the AAAI Conference on Artificial Intelligence |
| best_oa_location.landing_page_url | https://doi.org/10.1609/aaai.v38i21.30507 |
| primary_location.id | doi:10.1609/aaai.v38i21.30507 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210191458 |
| primary_location.source.issn | 2159-5399, 2374-3468 |
| primary_location.source.type | conference |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2159-5399 |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Proceedings of the AAAI Conference on Artificial Intelligence |
| primary_location.source.host_organization | https://openalex.org/P4310320058 |
| primary_location.source.host_organization_name | Association for the Advancement of Artificial Intelligence |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320058 |
| primary_location.source.host_organization_lineage_names | Association for the Advancement of Artificial Intelligence |
| primary_location.license | |
| primary_location.pdf_url | https://ojs.aaai.org/index.php/AAAI/article/download/30507/32646 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Proceedings of the AAAI Conference on Artificial Intelligence |
| primary_location.landing_page_url | https://doi.org/10.1609/aaai.v38i21.30507 |
| publication_date | 2024-03-24 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W3195971739, https://openalex.org/W6748484256, https://openalex.org/W2788065367 |
| referenced_works_count | 3 |
| abstract_inverted_index.a | 80 |
| abstract_inverted_index.As | 0 |
| abstract_inverted_index.FO | 30 |
| abstract_inverted_index.We | 62 |
| abstract_inverted_index.be | 49 |
| abstract_inverted_index.in | 38 |
| abstract_inverted_index.is | 14, 43 |
| abstract_inverted_index.of | 35 |
| abstract_inverted_index.on | 21, 76 |
| abstract_inverted_index.to | 44, 56, 78 |
| abstract_inverted_index.The | 41 |
| abstract_inverted_index.aim | 42 |
| abstract_inverted_index.and | 52, 68 |
| abstract_inverted_index.any | 36 |
| abstract_inverted_index.can | 48 |
| abstract_inverted_index.for | 11 |
| abstract_inverted_index.has | 19 |
| abstract_inverted_index.how | 46 |
| abstract_inverted_index.one | 55 |
| abstract_inverted_index.the | 6, 23, 32, 39 |
| abstract_inverted_index.use | 57, 79 |
| abstract_inverted_index.(FO) | 26 |
| abstract_inverted_index.This | 17 |
| abstract_inverted_index.best | 7, 50 |
| abstract_inverted_index.data | 1, 60, 66 |
| abstract_inverted_index.each | 12, 47 |
| abstract_inverted_index.used | 51 |
| abstract_inverted_index.when | 77 |
| abstract_inverted_index.with | 58, 64 |
| abstract_inverted_index.clear | 74 |
| abstract_inverted_index.grow, | 4 |
| abstract_inverted_index.type. | 61 |
| abstract_inverted_index.value | 37 |
| abstract_inverted_index.which | 54, 59 |
| abstract_inverted_index.issues | 3 |
| abstract_inverted_index.showed | 73 |
| abstract_inverted_index.Results | 72 |
| abstract_inverted_index.conduct | 31 |
| abstract_inverted_index.domain. | 40 |
| abstract_inverted_index.explore | 45 |
| abstract_inverted_index.finding | 5 |
| abstract_inverted_index.focused | 20 |
| abstract_inverted_index.oracles | 25 |
| abstract_inverted_index.privacy | 2, 8, 27 |
| abstract_inverted_index.guidance | 75 |
| abstract_inverted_index.learning | 70 |
| abstract_inverted_index.research | 18 |
| abstract_inverted_index.specific | 81 |
| abstract_inverted_index.algorithm | 10 |
| abstract_inverted_index.different | 65 |
| abstract_inverted_index.federated | 69 |
| abstract_inverted_index.frequency | 24, 33 |
| abstract_inverted_index.recommend | 53 |
| abstract_inverted_index.scenarios | 67 |
| abstract_inverted_index.settings. | 71 |
| abstract_inverted_index.situation | 13 |
| abstract_inverted_index.algorithm. | 82 |
| abstract_inverted_index.essential. | 16 |
| abstract_inverted_index.estimation | 34 |
| abstract_inverted_index.algorithms. | 29 |
| abstract_inverted_index.experimented | 63 |
| abstract_inverted_index.increasingly | 15 |
| abstract_inverted_index.preservation | 9, 28 |
| abstract_inverted_index.understanding | 22 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.04902478 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |