Timing Leakage Analysis of Non-constant-time NTT Implementations with Harvey Butterflies

von Drucker, Nir
Veröffentlicht in International Symposium on Cyber Security, Cryptography and Machine Learning (6. : 2022 : Online) Cyber security, cryptography and machine learning (2022)

Efficient Skip Connections Realization for Secure Inference on Encrypted Data

von Drucker, Nir
Veröffentlicht in International Symposium on Cyber Security, Cryptology and Machine Learning (7. : 2023 : Beer Sheva) Cyber security, cryptology, and machine learning (2023)

Fast Polynomial Inversion for Post Quantum QC-MDPC Cryptography

von Drucker, Nir
Veröffentlicht in CSCML (4. : 2020 : Online) Cyber security cryptography and machine learning (2020)

Binding BIKE Errors to a Key Pair

von Drucker, Nir
Veröffentlicht in CSCML (5. : 2021 : Beer Sheva) Cyber Security Cryptography and Machine Learning (2021)

On Constant-Time QC-MDPC Decoders with Negligible Failure Rate

von Drucker, Nir
Veröffentlicht in CBCrypto (8. : 2020 : Online) Code-based cryptography (2020)

QC-MDPC Decoders with Several Shades of Gray

von Drucker, Nir
Veröffentlicht in PQCrypto (11. : 2020 : Paris) Post-quantum cryptography (2020)

A Methodology for Training Homomorphic Encryption Friendly Neural Networks

von Baruch, Moran
Veröffentlicht in ACNS (20. : 2022 : Rom) Applied cryptography and network security workshops (2022)

Generating One-Hot Maps Under Encryption

von Aharoni, Ehud
Veröffentlicht in International Symposium on Cyber Security, Cryptology and Machine Learning (7. : 2023 : Beer Sheva) Cyber security, cryptology, and machine learning (2023)

Privacy-Preserving Record Linkage Using Local Sensitive Hash and Private Set Intersection

von Adir, Allon
Veröffentlicht in ACNS (20. : 2022 : Rom) Applied cryptography and network security workshops (2022)

Efficient Pruning for Machine Learning Under Homomorphic Encryption

von Aharoni, Ehud
Veröffentlicht in European Symposium on Research in Computer Security (28. : 2023 : Den Haag) Computer security - ESORICS 2023 ; Part 4 (2024)