Reaction Attack on Outsourced Computing with Fully Homomorphic Encryption Schemes
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FL is not immune to various kinds of attacks and failures that target each step of the system's training and deployment pipelines.
“However, FL is not immune to various kinds of attacks and failures that target each step of the system's training and deployment pipelines.”
From Vulnerabilities in federated learning (2021) · cites this paper as [11]
Cites
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Vulnerabilities in federated learning
Bouacida, N., & Mohapatra, P. (2021) · IEEE Access · doi:10.1109/access.2021.3075203 · Cited by 248 · see citing works
- Authors
- Zhang, Z., Plantard, T., & Susilo, W.
- Affiliations
- University of Wollongong (AU)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2012
- Pages
- 419-436
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1607369907
- Cited by
- 27
- References
- 28
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 3 · 2023: 1 · 2022: 3 · 2021: 2 · 2019: 3 · 2018: 2 · 2017: 2 · 2016: 2 · 2015: 2 · 2014: 2 · 2013: 1
- FWCI
- 1.23
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Research Online (University of Wollongong) (submittedVersion)
- Figshare (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Cryptography and Data Security
- Physical Sciences › Computer Science › Information Systems › Cloud Data Security Solutions
- Physical Sciences › Computer Science › Artificial Intelligence › Cryptographic Implementations and Security
- Keywords
- fully homomorphic encryption, outsourced computation, cloud security, key recovery, user privacy
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