SVAT: Secure outsourcing of variant annotation and genotype aggregation by Miran Kim, Su Wang, Xiaoqian Jiang, Arif Harmanci

“…Results We present SVAT, a method for secure outsourcing of variant annotation and aggregation, which are two basic steps in variant interpretation and detection of causal variants. SVAT uses homomorphic encryption to encrypt the data at the client-side. …”
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COLLAGENE enables privacy-aware federated and collaborative genomic data analysis by Wentao Li, Miran Kim, Kai Zhang, Han Chen, Xiaoqian Jiang, Arif Harmanci

“…COLLAGENE protects data using shared-key homomorphic encryption and combines encryption with multiparty strategies for efficient privacy-aware collaborative method development. …”
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Blockchain-based privacy-preserving multi-tasks federated learning framework by Yunyan Jia, Ling Xiong, Yu Fan, Wei Liang, Neal Xiong, Fengjun Xiao

“…Second, the proposed framework combines Paillier homomorphic encryption with Pearson correlation coefficient to protect users' privacy and ensure the accuracy of global model. …”
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Encrypted machine learning of molecular quantum properties by Jan Weinreich, Guido Falk von Rudorff, O Anatole von Lilienfeld

“…However, contemporary ML models based on fully homomorphic encryption or federated learning are either too expensive for practical use or have to trade higher speed for weaker security. …”
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A Secure Multi-Party Computation Protocol for Graph Editing Distance against Malicious Attacks by Xin Liu, Jianwei Kong, Lu Peng, Dan Luo, Gang Xu, Xiubo Chen, Xiaomeng Liu

“…In this paper, for the problem of secure computation of similarity edit distance of graphs, firstly, the encoding method applicable to the Paillier encryption algorithm is proposed, and the XOR operation scheme is proposed according to the Paillier homomorphic encryption algorithm. Then, the security algorithm under the semi-honest model is designed, which adopts the new encoding method and the XOR operation scheme. …”
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A Survey and Guideline on Privacy Enhancing Technologies for Collaborative Machine Learning by Elif Ustundag Soykan, Leyli Karacay, Ferhat Karakoc, Emrah Tomur

“…We deeply analyze Privacy Enhancing Technologies (PETs), covering secure multi-party computation (SMPC), homomorphic encryption (HE), differential privacy (DP), and confidential computing (CC) in the context of collaborative ML. …”
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A Smart Biometric Identity Management Framework for Personalised IoT and Cloud Computing-Based Healthcare Services by Farnaz Farid, Mahmoud Elkhodr, Fariza Sabrina, Farhad Ahamed, Ergun Gide

“…In addition to relying on the unique identification characteristics of the users’ biometric traits, the security of the framework is empowered by the use of Homomorphic Encryption (HE). The use of HE allows patients’ data to stay encrypted when being processed or analyzed in the cloud. …”
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Deep learning for content-based image retrieval in FHE algorithms by Abdullah Sura Mahmood, Jaber Mustafa Musa

“…Also, it provides the necessary privacy for images using fully homomorphic encryption methods by Cheon–Kim–Kim–Song (CKKS). …”
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Efficient Data Collaboration Using Multi-Party Privacy Preserving Machine Learning Framework by Abdu Salam, Mohammad Abrar, Faizan Ullah, Izaz Ahmad Khan, Farhan Amin, Gyu Sang Choi

“…SCLA integrates homomorphic encryption and Federated Learning (FL) to enable secure data collaboration among various stakeholders. …”
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A Secure and Computable Blockchain-Based Data Sharing Scheme in IoT System by Shuang Sun, Rong Du, Shudong Chen

“…This outweighs the advantage of using cloud computing resources. Fully homomorphic encryption (FHE) and homomorphic signature technology may be adopted to realize ciphertext computation and for correctness checking of ciphertext computation results. …”
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Structure vs. Hardness Through the Obfuscation Lens by Bitansky, Nir, Degwekar, Akshay, Vaikuntanathan, Vinod

“…For some cryptographic primitives, such as one-way permutations and homomorphic encryption, we know that the answer is yes—they imply hard problems in NP ∩ coNP and SZK, respectively. …”
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Structure Versus Hardness Through the Obfuscation Lens by Bitansky, Nir, Degwekar, Akshay, Vaikuntanathan, Vinod

“…For some cryptographic primitives, such as one-way permutations and homomorphic encryption, we know that the answer is yes-they imply hard problems in NP∩coNP and SZK, respectively. …”
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Privacy-preserving price-sensitive ranking system for online service by Ho, Yi Le

“…Paillier cryptosystem is an asymmetric partially-homomorphic encryption that uses public key for encryption and private key for decryption. …”
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Cybersecurity-Enhanced Encrypted Control System Using Keyed-Homomorphic Public Key Encryption by Masaki Miyamoto, Kaoru Teranishi, Keita Emura, Kiminao Kogiso

“…Encrypted control systems are secure control methods that use the cryptographic properties of a specific homomorphic encryption scheme. This study proposes a cyberattack-detectable encrypted control system and validates its effectiveness using a proportional integration derivative (PID) position-control system for an industrial motor. …”
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Algebraic Attacks on RAIN and AIM Using Equivalent Representations by Fukang Liu, Mohammad Mahzoun, Morten Øygarden, Willi Meier

“… Designing novel symmetric-key primitives for advanced protocols like secure multiparty computation (MPC), fully homomorphic encryption (FHE) and zero-knowledge proof systems (ZK), has been an important research topic in recent years. …”
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Reversible Data Hiding in Encrypted Images Based on an Adaptive Recognition Strategy for Blocks by Zhi Pang, Han Li, Zhaolin Xiao, Liansheng Sui

“…As the rapid development of third-party storage and homomorphic encryption have profoundly stimulated the desire for secure communication, reversible data hiding in encrypted images has received widespread attention, since it allows lossless data conveying and perfect image recovery. …”
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Privacy-Functionality Trade-Off: A Privacy-Preserving Multi-Channel Smart Metering System by Xiao-Yu Zhang, Stefanie Kuenzel, José-Rodrigo Córdoba-Pachón, Chris Watkins

“…Moreover, some methods, such as rechargeable batteries and homomorphic encryption, require an expensive energy storage system or central processor with high computation ability, which is unrealistic for mass roll-out. …”
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Secure Collaborative Computing for Linear Regression by Albert Guan, Chun-Hung Lin, Po-Wen Chi

“…Currently, almost all homomorphic encryption schemes that support both addition and multiplication operations demand significant computational resources and can only offer computational security. …”
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Secure and Privacy-Preserving Body Sensor Data Collection and Query Scheme by Hui Zhu, Lijuan Gao, Hui Li

“…Specifically, based on an improved homomorphic encryption technology over composite order group, we propose a special weighted Euclidean distance contrast algorithm (WEDC) for multi-dimension vectors over encrypted data. …”
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Federated Learning for Intrusion Detection in the Critical Infrastructures: Vertically Partitioned Data Use Case by Evgenia Novikova, Elena Doynikova, Sergey Golubev

“…It is explained by the application of homomorphic encryption for input data protection from different data owners or data sources. …”
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