Results 11 to 20 of about 196,760 (255)

KmerCrypt: private k-mer search with homomorphic encryption. [PDF]

Brief Bioinform
Provatas K, Mouratidis I, Georgakopoulos-Soares I.   +2 more
europepmc   +3 more sources

Encrypted intelligence: A comparative analysis of homomorphic encryption frameworks for privacy-preserving AI

Journal of Economy and Technology
This paper presents a comparative study of various homomorphic encryption models to evaluate their qualitative and quantitative benefits and drawbacks in performing computations on encrypted data.
Aadit Shah, Surindernath Sivakumar, Prabakaran N   +2 more
doaj   +2 more sources

LSTM guided homomorphic encryption for threat-resistant IoT networks. [PDF]

Discov Comput
Kumar S, Deora SS, Kumar T, Sharma P, Cheng X, Garg V.   +5 more
europepmc   +3 more sources

Is Homomorphic Encryption-Based Deep Learning Secure Enough? [PDF]

Sensors (Basel), 2021
Shin J, Choi SH, Choi YH.
europepmc   +3 more sources

Privacy and correctness trade-offs for information-theoretically secure quantum homomorphic encryption [PDF]

Quantum, 2023
Quantum homomorphic encryption, which allows computation by a server directly on encrypted data, is a fundamental primitive out of which more complex quantum cryptography protocols can be built.
Yanglin Hu, Yingkai Ouyang, Marco Tomamichel   +2 more
doaj   +1 more source

Secure Fully Homomorphic Authenticated Encryption

IEEE Access, 2021
Homomorphic authenticated encryption allows implicit computation on plaintexts using corresponding ciphertexts without losing privacy, and provides authenticity of the computation and the resultant plaintext of the computation when performing a ...
Jeongsu Kim, Aaram Yun
doaj   +1 more source

ARK: Fully Homomorphic Encryption Accelerator with Runtime Data Generation and Inter-Operation Key Reuse [PDF]

Micro, 2022
Homomorphic Encryption (HE) is one of the most promising post-quantum cryptographic schemes that enable privacy-preserving computation on servers.
Jongmin Kim, Gwangho Lee, Sangpyo Kim, G. Sohn, John Kim, Minsoo Rhu, Jung Ho Ahn   +6 more
semanticscholar   +1 more source

Potential of Homomorphic Encryption for Cloud Computing Use Cases in Manufacturing

Journal of Cybersecurity and Privacy, 2023
Homomorphic encryption enables secure cloud computing over the complete data lifecycle. As so-called in-use encryption methodology, it allows using encrypted data for, e.g., data analysis—in contrast to classic encryption methods.
Raphael Kiesel, Marvin Lakatsch, Alexander Mann, Karl Lossie, Felix Sohnius, Robert H. Schmitt   +5 more
doaj   +1 more source

F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption [PDF]

Micro, 2021
Fully Homomorphic Encryption (FHE) allows computing on encrypted data, enabling secure offloading of computation to untrusted servers. Though it provides ideal security, FHE is expensive when executed in software, 4 to 5 orders of magnitude slower than ...
Axel S. Feldmann, Nikola Samardzic, A. Krastev, S. Devadas, R. Dreslinski, Karim M. El Defrawy, Nicholas Genise, Chris Peikert, Daniel Sánchez   +8 more
semanticscholar   +1 more source

Homomorphic-Encrypted Volume Rendering [PDF]

IEEE Transactions on Visualization and Computer Graphics, 2021
Computationally demanding tasks are typically calculated in dedicated data centers, and real-time visualizations also follow this trend. Some rendering tasks, however, require the highest level of confidentiality so that no other party, besides the owner, can read or see the sensitive data.
Mazza, Sebastian, Patel, Daniel, Viola, Ivan   +2 more
openaire   +5 more sources