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Attacks, Protection, and Improvement of Deep Learning and Its Application to Biometric Authentication
Attacks, Protection, and Improvement of Deep Learning and Its Application to Biometric Authentication
[Manuscript] Deep Face Template Protection in the Wild
[ECCV, 2024] Towards Certifiably Robust Face Recognition
[IEEE S&P, 2024] Scores Tell Everything about Bob: Non-adaptive Face Reconstruction on Face Recognition Systems
[BMVC, 2023] Security Analysis on Locality-Sensitive Hashing-Based Biometric Template Protection Schemes
[IEEE Access, 2022] Analysis on Secure Triplet Loss
[CVPR, 2021] IronMask: Modular Architecture for Protecting Deep Face Template
Design Efficient Zero-Knowledge Proof Systems Under Reliable Assumptions
Design Efficient Zero-Knowledge Proof Systems Under Reliable Assumptions
[IEEE TIFS, 2023] Leopard: Sublinear Verifier Inner Product Argument under Discrete Logarithm Assumption
[IWSEC, 2023] TENET : Sublogarithmic Proof, Sublinear Verifier Inner Product Argument without a Trusted Setup
[IACR-Asiacrypt, 2022] Efficient Zero-Knowledge Arguments in Discrete Logarithm Setting: Sublogarithmic Proof or Sublinear Verifier
[IEEE Access, 2022] Bulletproofs+: Shorter Proofs for a Privacy-Enhanced Distributed Ledger
Applications of ZKP Systems: Blockchains and Artificial Neural Networks
Applications of ZKP Systems: Blockchains and Artificial Neural Networks
[IEEE ICBC, 2024] PrivHChain: Monitoring the Supply Chain of Controlled Substances with Privacy-Preserving Hierarchical Blockchain
[IEEE Blockchain, 2022] Monitoring Provenance of Delegated Personal Data With Blockchain
[IEEE Access, 2021] Efficient Sum-Check Protocol for Convolution
Functional Encryptions
Functional Encryptions
[Design, Codes, and Cryptography, 2023] One the Security of Functional Encryption in the Generic Group Model
[Theoretical Computer Science, 2021] Efficient Revocable Identity-based Encryption with Short Public Parameters
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