Public-Key Cryptosystems Based on Composite Degree Residuosity Classes

New directions in cryptography

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Random oracles are practical

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A Public-Key Cryptosystem Based On Algebraic Coding Theory

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Hiding information and signatures in trapdoor knapsacks

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A secure and optimally efficient multi‐authority election scheme

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A new public-key cryptosystem as secure as factoring

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VMCrypt

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Privacy-Preserving Outsourced Calculation Toolkit in the Cloud

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A survey of reversible data hiding in encrypted images – The first 12 years

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Encryption–decryption-based consensus control for multi-agent systems: Handling actuator faults

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Multiparty Computation for Dishonest Majority: From Passive to Active Security at Low Cost

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Harnessing the Cloud for Securely Solving Large-Scale Systems of Linear Equations

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Non-interactive Zero-Knowledge from Homomorphic Encryption

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Privacy-preserving nearest neighbor methods: comparing signals without revealing them

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Circular range search on encrypted spatial data

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SoK: Modular and Efficient Private Decision Tree Evaluation

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Privacy-Preserving Gradient-Descent Methods

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VF 2 Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning

Fu, F., Shao, Y., Yu, L., Jiang, J., Xue, H., Tao, Y., & Cui, B. (2021) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/3448016.3457241 · Cited by 74

Privacy-preserving Byzantine-robust federated learning

Ma, X., Zhou, Y., Wang, L., & Miao, M. (2021) · Computer Standards & Interfaces · doi:10.1016/j.csi.2021.103561 · Cited by 74

One Round Threshold Discrete-Log Key Generation without Private Channels

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An efficient buyer-seller watermarking protocol based on composite signal representation

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Encryption Performance Improvements of the Paillier Cryptosystem.

Jost, C., Lam, H. T., Maximov, A., & Smeets, B. (2015) · Cited by 70

Outsourced privacy-preserving classification service over encrypted data

Li, T., Huang, Z., Li, P., Liu, Z., & Jia, C. (2018) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2017.12.021 · Cited by 70

SAFETY: Secure gwAs in Federated Environment through a hYbrid Solution

Sadat, M. N., Aziz, M. M. A., Mohammed, N., Chen, F., Jiang, X., & Wang, S. (2018) · IEEE Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2018.2829760 · Cited by 75

The Vector-Ballot e-Voting Approach

Kiayias, A., & Yung, M. M. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-27809-2_9 · Cited by 70

Secure buyer–seller watermarking protocol

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Private and Threshold Set-Intersection

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A Framework for Secure Speech Recognition

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Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption

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SRA: Secure Reverse Auction for Task Assignment in Spatial Crowdsourcing

Xiao, M., Ma, K., Liu, A., Zhao, H., Li, Z., Zheng, K., & Zhou, X. (2019) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2019.2893240 · Cited by 69

Toward Highly Secure Yet Efficient KNN Classification Scheme on Outsourced Cloud Data

Liu, L., Su, J., Liu, X., Chen, R., Huang, K., Deng, R. H., & Wang, X. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2932444 · Cited by 69

Secure Crowdsensed Data Trading Based on Blockchain

An, B., Xiao, M., Liu, A., Xu, Y., Zhang, X., & Li, Q. (2021) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2021.3107187 · Cited by 69

Approximate homomorphic encryption based privacy-preserving machine learning: a survey

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Evaluating Security of Voting Schemes in the Universal Composability Framework

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Privacy for Location-based Services

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An LSH-Based Blocking Approach with a Homomorphic Matching Technique for Privacy-Preserving Record Linkage

Karapiperis, D., & Verykios, V. S. (2014) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2014.2349916 · Cited by 69

Packed Homomorphic Encryption Based on Ideal Lattices and Its Application to Biometrics

Yasuda, M., Shimoyama, T., Kogure, J., Yokoyama, K., & Koshiba, T. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-40588-4_5 · Cited by 69

A New Framework for Privacy-Preserving Aggregation of Time-Series Data

Benhamouda, F., Jóye, M., & Libert, B. (2016) · ACM Transactions on Information and System Security · doi:10.1145/2873069 · Cited by 69

Secure and Private Cloud-Based Control Using Semi-Homomorphic Encryption**The work was, in part, supported by a McKenzie Fellowship, ARC grant LP130100605, and Defence Science and Technology Group through the Research Agreement My IP:6288.

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Secure k-NN Query on Encrypted Cloud Data with Multiple Keys

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SecGDB: Graph Encryption for Exact Shortest Distance Queries with Efficient Updates

Wang, Q., Ren, K., Du, M., Li, Q. L., & Mohaisen, A. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-70972-7_5 · Cited by 69

Dynamic Searchable Symmetric Encryption Schemes Supporting Range Queries with Forward (and Backward) Security

Zuo, C., Sun, S.-F., Liu, J. K., Shao, J., & Pieprzyk, J. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-98989-1_12 · Cited by 69

The Communication Complexity of Threshold Private Set Intersection

Ghosh, S., & Simkin, M. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-26951-7_1 · Cited by 69

Distributed constraint satisfaction and optimization with privacy enforcement

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A review of homomorphic encryption and software tools for encrypted statistical machine learningPreprint

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Privacy-preserving range query over multi-source electronic health records in public clouds

Liang, J., Qin, Z., Xiao, S., Zhang, J., Yin, H., & Li, K. (2019) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2019.08.011 · Cited by 69

Blockchain-Driven Trusted Data Sharing With Privacy Protection in IoT Sensor Network

Ma, Z., Wang, L., & Zhao, W. (2020) · IEEE Sensors Journal · doi:10.1109/jsen.2020.3046752 · Cited by 68

Privacy-Preserving IoT Data Aggregation Based on Blockchain and Homomorphic Encryption

Loukil, F., Ghedira-Guegan, C., Boukadi, K., & Aïcha-Nabila, B. (2021) · Sensors · doi:10.3390/s21072452 · Cited by 68

Revealing the landscape of privacy-enhancing technologies in the context of data markets for the IoT: A systematic literature review

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Distributed additive encryption and quantization for privacy preserving federated deep learning

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$$\mathsf {FLOD}$$: Oblivious Defender for Private Byzantine-Robust Federated Learning with Dishonest-Majority

Dong, Y., Chen, X., Li, K., Wang, D., & Zeng, S. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-88418-5_24 · Cited by 69

A Cryptographic Framework for the Controlled Release of Certified Data

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Secure Comparison Protocols in the Semi-Honest Model

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Secure Hamming Distance Based Computation and Its Applications

Jarrous, A., & Benny Pinkas, B. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-01957-9_7 · Cited by 68

Privacy-preserving and verifiable protocols for scientific computation outsourcing to the cloud

Chen, F., Xiang, T., & Yang, Y. (2013) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2013.11.007 · Cited by 68

On the Impossibility of Basing Identity Based Encryption on Trapdoor Permutations

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PPSO: A Privacy-Preserving Service Outsourcing Scheme for Real-Time Pricing Demand Response in Smart Grid

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A Secure Clinical Diagnosis With Privacy-Preserving Multiclass Support Vector Machine in Clouds

Zhang, M., Song, W., & Zhang, J. (2020) · IEEE Systems Journal · doi:10.1109/jsyst.2020.3027758 · Cited by 67

Practical Non-interactive Publicly Verifiable Secret Sharing with Thousands of Parties

Gentry, C., Halevi, S., & Lyubashevsky, V. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-06944-4_16 · Cited by 67

Adaptively-Secure, Non-interactive Public-Key Encryption

Canetti, R., Halevi, S., & Katz, J. I. (2005) · Lecture notes in computer science · doi:10.1007/978-3-540-30576-7_9 · Cited by 67

Privacy-Preserving Queries over Relational Databases

Olumofin, F., & Goldberg, I. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-14527-8_5 · Cited by 67

Ensemble Method for Privacy-Preserving Logistic Regression Based on Homomorphic Encryption

Cheon, J. H., Kim, D., Kim, Y., & Song, Y. (2018) · IEEE Access · doi:10.1109/access.2018.2866697 · Cited by 67

Secure distributed constraint satisfaction: reaching agreement without revealing private information

Yokoo, M., Suzuki, K., & Hirayama, K. (2004) · Artificial Intelligence · doi:10.1016/j.artint.2004.10.007 · Cited by 67

Lightweight Privacy-Preserving Medical Diagnosis in Edge Computing

Ma, Z., Ma, J., Miao, Y., Liu, X., Choo, K. R., Yang, R., & Wang, X. (2020) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2020.3004627 · Cited by 67

Secure State Estimation Using Hybrid Homomorphic Encryption Scheme

Zhang, Z., Cheng, P., Wu, J., & Chen, J. (2020) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2020.3019501 · Cited by 66

Single-Server Private Information Retrieval with Sublinear Amortized Time

Corrigan-Gibbs, H., Henzinger, A., & Kogan, D. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-07085-3_1 · Cited by 66

The Theory and Implementation of an Electronic Voting System

Damgård, I., Groth, J., & Salomonsen, G. (2003) · Advances in information security · doi:10.1007/978-1-4615-0239-5_6 · Cited by 66

Outsourceable two-party privacy-preserving biometric authentication

Hu, C., Elmehdwi, Y., Li, F., Bhattacharya, P., & Jiang, W. (2014) · ACM Asia Conference on Computer and Communications Security (ASIA CCS) · doi:10.1145/2590296.2590343 · Cited by 66

Nonlinear order preserving index for encrypted database query in service cloud environments

Liu, D., & Wang, S. (2013) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.2992 · Cited by 66

Privacy Preserving Nearest Neighbor Search

Shaneck, M., Kim, Y., & Kumar, V. (2006) · IEEE ... International Conference on Data Mining workshops · doi:10.1109/icdmw.2006.133 · Cited by 66

Network Coding Based Privacy Preservation against Traffic Analysis in Multi-Hop Wireless Networks

Fan, Y., Jiang, Y., Zhu, H., Chen, J., & Shen, X. (2010) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2011.122010.100087 · Cited by 66

Designing an FPGA-Accelerated Homomorphic Encryption Co-Processor

Cousins, D. B., Rohloff, K. R., & Sumorok, D. (2016) · IEEE Transactions on Emerging Topics in Computing · doi:10.1109/tetc.2016.2619669 · Cited by 66

An Efficient Toolkit for Computing Private Set Operations

Davidson, A., & Cid, C. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-59870-3_15 · Cited by 66

Privacy preserving security using biometrics in cloud computing

Kumar, S., Singh, S. K., Singh, A. K., Tiwari, S., & Singh, R. S. (2017) · Multimedia Tools and Applications · doi:10.1007/s11042-017-4966-5 · Cited by 66

Distributed E-Voting and E-Bidding Systems Based on Smart Contract

Tso, R., Liu, Z., & Hsiao, J.-H. (2019) · Electronics · doi:10.3390/electronics8040422 · Cited by 66

Privacy-Preserving and Outsourced Multi-user K-Means Clustering

Rao, F.-Y., Samanthula, B. K., Bertino, E., Yi, X., & Liu, D. (2015) · IEEE International Conference on Collaboration and Internet Computing (CIC) · doi:10.1109/cic.2015.20 · Cited by 66

Two-party generation of DSA signatures

MACKENZIE, P. D., & Reiter, M. K. (2004) · International Journal of Information Security · doi:10.1007/s10207-004-0041-0 · Cited by 66

Formal Treatment of Privacy-Enhancing Credential Systems

Camenisch, J., Krenn, S., Lehmann, A., Mikkelsen, G. L., Neven, G., & Pedersen, M. Ø. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-31301-6_1 · Cited by 65

An Intelligent Terminal Based Privacy-Preserving Multi-Modal Implicit Authentication Protocol for Internet of Connected Vehicles

Wei, F., Zeadally, S., Vijayakumar, P., Kumar, N., & He, D. (2020) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2020.2998775 · Cited by 65

Toward Secure and Privacy-Preserving Distributed Deep Learning in Fog-Cloud Computing

Li, Y., Li, H., Xu, G., Xiang, T., Huang, X., & Lu, R. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3012480 · Cited by 66

No Free Lunch Theorem for Security and Utility in Federated Learning

Zhang, X., Gu, H., Fan, L., Chen, K., & Yang, Q. (2022) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/3563219 · Cited by 74

VOSA: Verifiable and Oblivious Secure Aggregation for Privacy-Preserving Federated Learning

Wang, Y., Zhang, A., Wu, S., & Yu, S. (2022) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2022.3226508 · Cited by 69

Toward Federated Large Language Models: Motivations, Methods, and Future Directions

Cheng, Y., Zhang, W., Zhang, Z., Zhang, C., Wang, S., & Mao, S. (2024) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2024.3503680 · Cited by 79

Robust Multiparty Computation with Linear Communication Complexity

Hirt, M., & Nielsen, J. B. (2006) · Lecture notes in computer science · doi:10.1007/11818175_28 · Cited by 65

A secure distributed logistic regression protocol for the detection of rare adverse drug events

Emam, K. E., Samet, S., Arbuckle, L., Tamblyn, R. M., Earle, C. C., & Kantarcıoğlu, M. (2012) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2011-000735 · Cited by 65

Efficient Cryptosystems from 2 k -th Power Residue Symbols

Jóye, M., & Libert, B. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-38348-9_5 · Cited by 65

A Secure Face-Verification Scheme Based on Homomorphic Encryption and Deep Neural Networks

Ma, Y., Wu, L., Gu, X., He, J., & Yang, Z. (2017) · IEEE Access · doi:10.1109/access.2017.2737544 · Cited by 65

Splinter: Practical Private Queries on Public Data.Preprint

Wang, F., Yun, C., Goldwasser, S., Vaikuntanathan, V., & Zaharia, M. (2016) · IACR Cryptology ePrint Archive · Cited by 65

PGC: Decentralized Confidential Payment System with Auditability

Chen, Y., Ma, X., Tang, C., & Au, M. H. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-58951-6_29 · Cited by 65

CryptoComputing with Rationals

Fouque, P.-A., Stern, J., & Wackers, G.-J. (2003) · Lecture notes in computer science · doi:10.1007/3-540-36504-4_10 · Cited by 64

Privacy-preserving back-propagation and extreme learning machine algorithms

Samet, S., & Miri, A. (2012) · Data & Knowledge Engineering · doi:10.1016/j.datak.2012.06.001 · Cited by 64

Fully Private Noninteractive Face Verification

Troncoso-Pastoriza, J. R., González-Jiménez, D., & Pérez‐González, F. (2013) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2013.2262273 · Cited by 64

Secure Two-Party Differentially Private Data Release for Vertically Partitioned Data

Mohammed, N., Alhadidi, D., Fung, B. C. M., & Debbabi, M. (2013) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2013.22 · Cited by 65

Secure genomic testing with size- and position-hiding private substring matching

Cristofaro, E. D., Faber, S., & Tsudik, G. (2013) · ACM Workshop on Privacy in the Electronic Society (WPES) · doi:10.1145/2517840.2517849 · Cited by 66

Secure multiparty aggregation with differential privacy

Goryczka, S., Xiong, L., & Sunderam, V. S. (2013) · EDBT/ICDT Workshops · doi:10.1145/2457317.2457343 · Cited by 66

Reliable medical recommendation systems with patient privacy

Hoens, T. R., Blanton, M., Steele, A., & Chawla, N. V. (2013) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/2508037.2508048 · Cited by 64

A Compressive Sensing based privacy preserving outsourcing of image storage and identity authentication service in cloud

Hu, G., Xiao, D., Xiang, T., Bai, S., & Zhang, Y. (2016) · Information Sciences · doi:10.1016/j.ins.2016.09.045 · Cited by 64

Elliptic Curve-Based Secure Multidimensional Aggregation for Smart Grid Communications

Boudia, O. R. M., Senouci, S., & Feham, M. (2017) · IEEE Sensors Journal · doi:10.1109/jsen.2017.2720458 · Cited by 64

Balancing Security and Efficiency for Smart Metering Against Misbehaving Collectors

Ni, J., Zhang, K., Lin, X., & Shen, X. (2017) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2017.2761804 · Cited by 64

A Sender Verifiable Mix-Net and a New Proof of a Shuffle

Wikström, D. (2005) · Lecture notes in computer science · doi:10.1007/11593447_15 · Cited by 64

Private Information

Yao, D. D., Frikken, K. B., Atallah, M. J., & Tamassia, R. (2008) · ACM Transactions on Information and System Security · doi:10.1145/1410234.1410240 · Cited by 63

Non-interactive privacy-preserving neural network prediction

Ma, X., Chen, X., & Zhang, X. (2019) · Information Sciences · doi:10.1016/j.ins.2018.12.015 · Cited by 64

A Blockchain-Based Traceable Self-Tallying E-Voting Protocol in AI Era

Li, H., Li, Y., Yu, Y., Wang, B., & Chen, K. (2020) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2020.3011928 · Cited by 63

Privacy preserving data aggregation with fault tolerance in fog-enabled smart grids

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Aggregatable Distributed Key Generation

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A new public key cryptosystem based on higher residues

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Efficient Public-Key Cryptosystems Provably Secure Against Active Adversaries

Paillier, P., Pointcheval, D., International, G. C., & Cryptography Department (1999)

Paillier Algorithm

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A new public-key cryptosystem as secure as factoring

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Universal Hash Proofs and a Paradigm for Adaptive Chosen Ciphertext Secure Public-Key Encryption

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