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Amey Shukla

dblp:420/7851 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0007-8179-8817ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Biometric security · 62% Cryptographic primitives and cryptanalysis · 38%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Biometric security
biometric authentication
0.912025
Fuzzy Extractors are Practical: Cryptographic Strength Key Derivation from the Iris · CCS 2025
Biometric security › biometric template protection
biometric key generation
0.912025
Fuzzy Extractors are Practical: Cryptographic Strength Key Derivation from the Iris · CCS 2025
Cryptographic primitives and cryptanalysis
fuzzy extractor
0.912025
Fuzzy Extractors are Practical: Cryptographic Strength Key Derivation from the Iris · CCS 2025
Biometric security
iris recognition
0.912025
Fuzzy Extractors are Practical: Cryptographic Strength Key Derivation from the Iris · CCS 2025
Cryptographic primitives and cryptanalysis › key generation
key derivation
0.912025
Fuzzy Extractors are Practical: Cryptographic Strength Key Derivation from the Iris · CCS 2025
Biometric security
biometric template protection
0.312025
Fuzzy Extractors are Practical: Cryptographic Strength Key Derivation from the Iris · CCS 2025

Methods — techniques the papers use, named apart from their topics

fuzzy extractor construction · 0.9
YearPublicationVenuePosition
2025 Fuzzy Extractors are Practical: Cryptographic Strength Key Derivation from the Iris
abstract
Despite decades of effort, a persistent chasm has existed between the theory and practice of device-level biometric authentication. Theoretical constructions can, in principle, provide biometric authentication with cryptographically secure public enrollment data. However, concrete implementations of these techniques have failed to provide security with real-world parameters. The result is that deployed authentication algorithms rely on data that overtly leaks private information about the biometric; thus systems rely on externalized security measures such as trusted execution environments.
Amey Shukla, Luke Demarest, Benjamin Fuller 0001, Sohaib Ahmad, Caleb Manicke, Alexander Russell
CCS1