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Machine Learning Based Attacks and Defenses in Computer Security: Towards Privacy and Utility Balance in Emerging Technology Environments

doctoral thesis by Miro Enev, Computer Science & Engineering, University of Washington, 2014
Place doctoral_thesis Q113668229
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Machine Learning Based Attacks and Defenses in Computer Security: Towards Privacy and Utility Balance in Emerging Technology Environments

Summary

Machine Learning Based Attacks and Defenses in Computer Security: Towards Privacy and Utility Balance in Emerging Technology Environments is a doctoral thesis[1].

Key Facts

  • Machine Learning Based Attacks and Defenses in Computer Security: Towards Privacy and Utility Balance in Emerging Technology Environments authored Towards Privacy and Utility Balance in Emerging Technology Environments — author (P50): Miro Enev[2].
  • Machine Learning Based Attacks and Defenses in Computer Security: Towards Privacy and Utility Balance in Emerging Technology Environments's instance of is recorded as Towards Privacy and Utility Balance in Emerging Technology Environments — instance of (P31): doctoral thesis[3].
  • Machine Learning Based Attacks and Defenses in Computer Security: Towards Privacy and Utility Balance in Emerging Technology Environments's OCLC number is recorded as 893442565[4].
  • Machine Learning Based Attacks and Defenses in Computer Security: Towards Privacy and Utility Balance in Emerging Technology Environments's language of work or name is recorded as Towards Privacy and Utility Balance in Emerging Technology Environments — language of work or name (P407): English[5].
  • +2014-00-00T00:00:00Z marks the founding of Machine Learning Based Attacks and Defenses in Computer Security: Towards Privacy and Utility Balance in Emerging Technology Environments[6].
  • Machine Learning Based Attacks and Defenses in Computer Security: Towards Privacy and Utility Balance in Emerging Technology Environments's work available at URL is recorded as http://hdl.handle.net/1773/26023[7].
  • Machine Learning Based Attacks and Defenses in Computer Security: Towards Privacy and Utility Balance in Emerging Technology Environments's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q1069725', 'amount': '+104'}[8].
  • Machine Learning Based Attacks and Defenses in Computer Security: Towards Privacy and Utility Balance in Emerging Technology Environments's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q56761382', 'amount': '+3'}[9].
  • Machine Learning Based Attacks and Defenses in Computer Security: Towards Privacy and Utility Balance in Emerging Technology Environments's Handle ID is recorded as 1773/26023[10].
  • Machine Learning Based Attacks and Defenses in Computer Security: Towards Privacy and Utility Balance in Emerging Technology Environments's title is recorded as Machine Learning Based Attacks and Defenses in Computer Security[11].
  • Machine Learning Based Attacks and Defenses in Computer Security: Towards Privacy and Utility Balance in Emerging Technology Environments's subtitle is recorded as Towards Privacy and Utility Balance in Emerging Technology Environments[12].
  • Machine Learning Based Attacks and Defenses in Computer Security: Towards Privacy and Utility Balance in Emerging Technology Environments's thesis submitted to is recorded as Towards Privacy and Utility Balance in Emerging Technology Environments — thesis submitted to (P4101): University of Washington[13].
  • Machine Learning Based Attacks and Defenses in Computer Security: Towards Privacy and Utility Balance in Emerging Technology Environments's on focus list of Wikimedia project is recorded as Towards Privacy and Utility Balance in Emerging Technology Environments — on focus list of Wikimedia project (P5008): WikiProject PCC Wikidata Pilot/University of Washington[14].
  • Machine Learning Based Attacks and Defenses in Computer Security: Towards Privacy and Utility Balance in Emerging Technology Environments's thesis committee member is recorded as Towards Privacy and Utility Balance in Emerging Technology Environments — thesis committee member (P9161): Tadayoshi Kohno[15].

Body

Designation and Status

Machine Learning Based Attacks and Defenses in Computer Security: Towards Privacy and Utility Balance in Emerging Technology Environments's instance of is recorded as Towards Privacy and Utility Balance in Emerging Technology Environments — instance of (P31): doctoral thesis[3].

History and Context

+2014-00-00T00:00:00Z marks the founding of Machine Learning Based Attacks and Defenses in Computer Security: Towards Privacy and Utility Balance in Emerging Technology Environments[6].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [3] ↑ . WorldCat. Retrieved . wikidata.org.
  2. [2] ↑ . WorldCat. Retrieved . wikidata.org.
  3. [4] ↑ . WorldCat. Retrieved . wikidata.org.
  4. [5] ↑ . WorldCat. Retrieved . wikidata.org.
  5. [6] ↑ . WorldCat. Retrieved . wikidata.org.
  6. [7] ↑ . WorldCat. Retrieved . wikidata.org.
  7. [8] ↑ . WorldCat. Retrieved . wikidata.org.
  8. [9] ↑ . WorldCat. Retrieved . wikidata.org.
  9. [10] ↑ . WorldCat. Retrieved . wikidata.org.
  10. [11] ↑ . WorldCat. Retrieved . wikidata.org.
  11. [12] ↑ . WorldCat. Retrieved . wikidata.org.
  12. [13] ↑ . WorldCat. Retrieved . wikidata.org.
  13. [14] ↑ . wikidata.org.
  14. [15] ↑ . WorldCat. Retrieved . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Machine Learning Based Attacks and Defenses in Computer Security: Towards Privacy and Utility Balance in Emerging Technology Environments. Retrieved May 3, 2026, from https://4ort.xyz/entity/machine-learning-based-attacks-and-defenses-in-computer-security-towards-privacy-and-utility-balance-in-emerging-technology-environments
MLA “Machine Learning Based Attacks and Defenses in Computer Security: Towards Privacy and Utility Balance in Emerging Technology Environments.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/machine-learning-based-attacks-and-defenses-in-computer-security-towards-privacy-and-utility-balance-in-emerging-technology-environments.
BibTeX @misc{4ortxyz_machine-learning-based-attacks-and-defenses-in-computer-security-towards-privacy-and-utility-balance-in-emerging-technology-environments_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine Learning Based Attacks and Defenses in Computer Security: Towards Privacy and Utility Balance in Emerging Technology Environments}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-based-attacks-and-defenses-in-computer-security-towards-privacy-and-utility-balance-in-emerging-technology-environments}, note = {Accessed: 2026-05-03}}
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