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Attacks Against the IND-CPAD Security of Exact FHE Schemes
A recent security model for fully homomorphic encryption (FHE), called IND-CPAD security
and introduced by Li and Micciancio [Eurocrypt'21], strengthens IND-CPA security by giving …
and introduced by Li and Micciancio [Eurocrypt'21], strengthens IND-CPA security by giving …
Crypto dark matter on the torus: Oblivious prfs from shallow prfs and tfhe
Abstract Partially Oblivious Pseudorandom Functions (POPRFs) are 2-party protocols that
allow a client to learn pseudorandom function (PRF) evaluations on inputs of its choice from …
allow a client to learn pseudorandom function (PRF) evaluations on inputs of its choice from …
Noah's Ark: Efficient Threshold-FHE Using Noise Flooding
M Dahl, D Demmler, S El Kazdadi, A Meyre… - Proceedings of the 11th …, 2023 - dl.acm.org
We outline a secure and efficient methodology to do threshold distributed decryption for
LWE based Fully Homomorphic Encryption schemes. Due to the smaller parameters used in …
LWE based Fully Homomorphic Encryption schemes. Due to the smaller parameters used in …
Faster NTRU-based Bootstrap** in less than 4 ms
Z Li, X Lu, Z Wang, R Wang, Y Liu, Y Zheng… - IACR Transactions on …, 2024 - incs.ub.rub.de
Bootstrap** is a critical technique in constructing fully homomorphic encryption (FHE),
which serves to refresh the noise in FHE ciphertexts, enabling an arbitrary number of …
which serves to refresh the noise in FHE ciphertexts, enabling an arbitrary number of …
REED: Chiplet-based accelerator for fully homomorphic encryption
Fully Homomorphic Encryption (FHE) enables privacy-preserving computation and has
many applications. However, its practical implementation faces massive computation and …
many applications. However, its practical implementation faces massive computation and …
Morphling: A throughput-maximized tfhe-based accelerator using transform-domain reuse
A Putra, JY Kim - 2024 IEEE International Symposium on …, 2024 - ieeexplore.ieee.org
Fully Homomorphic Encryption (FHE) has become an increasingly important aspect in
modern computing, particularly in preserving privacy in cloud computing by enabling …
modern computing, particularly in preserving privacy in cloud computing by enabling …
Revisiting Oblivious Top- Selection with Applications to Secure -NN Classification
An oblivious Top-$ k $ algorithm selects the $ k $ smallest elements from $ d $ elements
while ensuring the sequence of operations and memory accesses do not depend on the …
while ensuring the sequence of operations and memory accesses do not depend on the …
Secure and Efficient Outsourced Matrix Multiplication with Homomorphic Encryption
Abstract Fully Homomorphic Encryption (FHE) is a promising privacy-enhancing technique
that enables secure and private data processing on untrusted servers, such as privacy …
that enables secure and private data processing on untrusted servers, such as privacy …
Enabling Practical and Privacy-Preserving Image Processing
C Wang, S Yang, X Sun, J Dai, D Zhao - arxiv preprint arxiv:2409.03568, 2024 - arxiv.org
Fully Homomorphic Encryption (FHE) enables computations on encrypted data, preserving
confidentiality without the need for decryption. However, FHE is often hindered by significant …
confidentiality without the need for decryption. However, FHE is often hindered by significant …
Recent advances of privacy-preserving machine learning based on (Fully) Homomorphic Encryption
C Hong - Security and Safety, 2025 - sands.edpsciences.org
Fully Homomorphic Encryption (FHE), known for its ability to process encrypted data without
decryption, is a promising technique for solving privacy concerns in the machine learning …
decryption, is a promising technique for solving privacy concerns in the machine learning …