Public-Key Cryptosystems Based on Composite Degree Residuosity Classes

New directions in cryptography

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A method for obtaining digital signatures and public-key cryptosystems

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A method for obtaining digital signatures and public-key cryptosystems

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A public key cryptosystem and a signature scheme based on discrete logarithms

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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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Public-Key Cryptography

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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

Okamoto, T., & Uchiyama, S. (1998) · Lecture notes in computer science · doi:10.1007/bfb0054135 · Cited by 674

Privacy-Preserving ECG Classification With Branching Programs and Neural Networks

Barni, M., Failla, P., Lazzeretti, R., Sadeghi, A., & Schneider, T. H. (2011) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2011.2108650 · Cited by 195

Smart and Practical Privacy-Preserving Data Aggregation for Fog-Based Smart Grids

Zhao, S., Li, F., Li, H., Lu, R., Ren, S., Bao, H., Lin, J.-H., & Han, S. (2020) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2020.3014487 · Cited by 195

Encrypted signal-based reversible data hiding with public key cryptosystem

Chen, Y., Shiu, C.-W., & Horng, G. (2014) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2014.04.003 · Cited by 194

Imposing patient data privacy in wireless medical sensor networks through homomorphic cryptosystems

Pearlin, R. F. S., & Rekha, G. (2016) · International Conference on Intelligent Systems and Control · doi:10.1109/isco.2016.7727027 · Cited by 194

Private Computation of Spatial and Temporal Power Consumption with Smart Meters

Erkin, Z., & Tsudik, G. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-31284-7_33 · Cited by 193

Multi-biometric template protection based on Homomorphic Encryption

Gomez‐Barrero, M., Maiorana, E., Javier Galbally, A., Campisi, P., & Fiérrez, J. (2017) · Pattern Recognition · doi:10.1016/j.patcog.2017.01.024 · Cited by 192

Electricity Consumer Characteristics Identification: A Federated Learning Approach

Wang, Y., Bennani, I. L., Liu, X., Sun, M., & Zhou, Y. (2021) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2021.3066577 · Cited by 192

Private Database Queries Using Somewhat Homomorphic Encryption

Boneh, D., Gentry, C., Halevi, S., Wang, F., & Wu, D. J. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-38980-1_7 · Cited by 192

Fast Secure Computation of Set Intersection

Jarecki, S., & Liu, X. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15317-4_26 · Cited by 191

Decentralized Federated Learning: A Survey on Security and Privacy

Hallaji, E., Razavi‐Far, R., Saif, M., Wang, B., & Yang, Q. (2024) · IEEE Transactions on Big Data · doi:10.1109/tbdata.2024.3362191 · Cited by 204

Facial Expression Recognition in the Encrypted Domain Based on Local Fisher Discriminant Analysis

Rahulamathavan, Y., Phan, R. C. ‐., Chambers, J. A., & Parish, D. J. (2012) · IEEE Transactions on Affective Computing · doi:10.1109/t-affc.2012.33 · Cited by 192

Differentially private Naive Bayes learning over multiple data sources

Li, T., Li, J., Liu, Z., Li, P., & Jia, C. (2018) · Information Sciences · doi:10.1016/j.ins.2018.02.056 · Cited by 190

Efficient and Privacy-Preserving Outsourced Calculation of Rational Numbers

Liu, X., Choo, K. R., Deng, R. H., Lu, R., & Weng, J. (2016) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2016.2536601 · Cited by 187

Efficient and Secure Decision Tree Classification for Cloud-Assisted Online Diagnosis Services

Liang, J., Qin, Z., Xiao, S., Ou, L., & Lin, X. (2019) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2019.2922958 · Cited by 191

XPIR: Private information retrieval for everyone

Aguilar-Melchor, C., Barrier, J., Fousse, L., & Killijian, M.-O. (2016) · Proceedings on Privacy Enhancing Technologies · doi:10.1515/popets-2016-0010 · Cited by 185

Privacy-preserving Naive Bayes classifiers secure against the substitution-then-comparison attack

Gao, C.-Z., Cheng, Q., He, P., Susilo, W., & Li, J. (2018) · Information Sciences · doi:10.1016/j.ins.2018.02.058 · Cited by 185

Improving the Robustness of Private Information Retrieval

Goldberg, I. (2007) · IEEE Symposium on Security and Privacy (S&P) · doi:10.1109/sp.2007.23 · Cited by 184

Louis, Lester and Pierre: Three Protocols for Location Privacy

Zhong, G., Goldberg, I., & Hengartner, U. (2007) · Springer eBooks · doi:10.1007/978-3-540-75551-7_5 · Cited by 183

Privately Evaluating Decision Trees and Random Forests

Wu, D. J., Feng, T., Naehrig, M., & Lauter, K. (2016) · Proceedings on Privacy Enhancing Technologies · doi:10.1515/popets-2016-0043 · Cited by 182

Efficient Privacy-Preserving Biometric Identification

Huang, Y., Malka, L., Evans, D., & Katz, J. I. (2011) · Cited by 181

PrÊt À Voter: a Voter-Verifiable Voting System

Ryan, P. Y. A., Bismark, D., Heather, J., Schneider, S. A., & Xia, Z. (2009) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2009.2033233 · Cited by 181

Secure friend discovery in mobile social networks

Dong, W., Dave, V., Qiu, L., & Zhang⋆, Y. (2011) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infcom.2011.5934958 · Cited by 181

Fast Secure Two-Party ECDSA Signing

Lindell, Y. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-63715-0_21 · Cited by 181

A Survey on Secure Data Analytics in Edge Computing

Liu, D., Yan, Z., Ding, W., & Atiquzzaman, M. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2897619 · Cited by 180

Privacy-preserving fingercode authentication

Barni, M., Bianchi, T., Catalano, D., Raimondo, M. D., Labati, R. D., Failla, P., Fiore, D., Lazzeretti, R., Piuri, V., Scotti, F., et al. (2010) · ACM workshop on Multimedia and security · doi:10.1145/1854229.1854270 · Cited by 179

Secure and private control using semi-homomorphic encryption

Farokhi, F., Shames, I., & Batterham, N. (2017) · Control Engineering Practice · doi:10.1016/j.conengprac.2017.07.004 · Cited by 179

Privacy-preserving SVM classification

Vaidya, J., Yu, H., & Jiang, X. (2008) · Knowledge and Information Systems · doi:10.1007/s10115-007-0073-7 · Cited by 178

Integrating encryption techniques for secure data storage in the cloud

Seth, B., Dalal, S., Jaglan, V., Le, D., Mohan, S., & Srivastava, G. (2020) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.4108 · Cited by 178

On the Implementation of the Discrete Fourier Transform in the Encrypted Domain

Bianchi, T., Piva, A., & Barni, M. (2009) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2008.2011087 · Cited by 177

Private and Cheating-Free Outsourcing of Algebraic Computations

Benjamin, D., & Atallah, M. J. (2008) · Conference on Privacy, Security and Trust · doi:10.1109/pst.2008.12 · Cited by 175

Secure Vickrey Auctions without Threshold Trust

Lipmaa, H., Asokan, N., & Niemi, V. (2003) · Lecture notes in computer science · doi:10.1007/3-540-36504-4_7 · Cited by 174

Secure Two-party Threshold ECDSA from ECDSA Assumptions

Doerner, J., Kondi, Y., Lee, E., & Shelat, A. A. (2018) · IEEE Symposium on Security and Privacy (S&P) · doi:10.1109/sp.2018.00036 · Cited by 173

Providing Source Location Privacy in Wireless Sensor Networks: A Survey

Conti, M., Willemsen, J., & Bruno Crispo, A. (2013) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2013.011413.00118 · Cited by 172

Privacy-Preserving Machine Learning: Methods, Challenges and DirectionsPreprint

Xu, R., Baracaldo, N., & Joshi, J. B. D. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2108.04417 · Cited by 233

Secure and Efficient Protocols for Iris and Fingerprint Identification

Blanton, M., & Gasti, P. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-23822-2_11 · Cited by 171

Privacy-Preserving Set Operations

Kissner, L., & Song, D. X. (2005) · doi:10.21236/ada457144 · Cited by 171

CryptDB

Popa, R. A., Redfield, C. M. S., Zeldovich, N., & Balakrishnan, H. (2012) · Communications of the ACM · doi:10.1145/2330667.2330691 · Cited by 169

Public key encryption supporting plaintext equality test and user‐specified authorization

Tang, Q. (2012) · Security and Communication Networks · doi:10.1002/sec.418 · Cited by 169

Privacy-Preserving Federated Deep Learning with Irregular Users

Xu, G., Li, H., Zhang, Y., Xu, S., Ning, J., & Deng, R. H. (2020) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2020.3005909 · Cited by 172

Efficiently Outsourcing Multiparty Computation Under Multiple Keys

Andreas, P., Tews, E., & Katzenbeisser, S. (2013) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2013.2288131 · Cited by 167

Semantically Secure McEliece Public-Key Cryptosystems -Conversions for McEliece PKC -

Kobara, K., & Imai, H. (2001) · Lecture notes in computer science · doi:10.1007/3-540-44586-2_2 · Cited by 163

A Decentralized Security Framework for Data Aggregation and Access Control in Smart Grids

Ruj, S., & Nayak, A. R. (2013) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2012.2224389 · Cited by 163

Public Key Based Cryptoschemes for Data Concealment in Wireless Sensor Networks

Mykletun, E., Girão, J., & Westhoff, D. (2006) · International Conference on Communications · doi:10.1109/icc.2006.255111 · Cited by 163

Threshold ECDSA from ECDSA Assumptions: The Multiparty Case

Doerner, J., Kondi, Y., Lee, E., & Shelat, A. A. (2019) · IEEE Symposium on Security and Privacy (S&P) · doi:10.1109/sp.2019.00024 · Cited by 163

POSEIDON: Privacy-Preserving Federated Neural Network Learning

Sav, S., Pyrgelis, A., Troncoso-Pastoriza, J. R., Froelicher, D., Bossuat, J.-P., Sousa, J. S., & Hubaux, J.-P. (2021) · Proceedings 2021 Network and Distributed System Security Symposium · doi:10.14722/ndss.2021.24119 · Cited by 162

Anonymous and secure aggregation scheme in fog-based public cloud computing

Wang, H., Wang, Z., & Domingo‐Ferrer, J. (2017) · Future Generation Computer Systems · doi:10.1016/j.future.2017.02.032 · Cited by 162

Single Database Private Information Retrieval with Logarithmic Communication

Chang, Y.-C. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-27800-9_5 · Cited by 162

On the Computational Practicality of Private Information Retrieval

Sion, R., & Cărbunar, B. (2006) · Cited by 161

Practical Threshold RSA Signatures without a Trusted Dealer

Damgård, I., & Koprowski, M. (2001) · Lecture notes in computer science · doi:10.1007/3-540-44987-6_10 · Cited by 161

Efficient Robust Private Set Intersection

Dachman-Soled, D., Malkin, T., Raykova, M., & Yung, M. M. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-01957-9_8 · Cited by 160

Efficient Two-Party Secure Computation on Committed Inputs

Jarecki, S., & Shmatikov, V. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-72540-4_6 · Cited by 159

Privacy-Preserving Distributed Averaging via Homomorphically Encrypted Ratio Consensus

Hadjicostis, C. N., & Domínguez-García, A. D. (2020) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2020.2968876 · Cited by 159

Private Searching on Streaming Data

Ostrovsky, R., & Skeith, W. E. (2005) · Lecture notes in computer science · doi:10.1007/11535218_14 · Cited by 159

A Survey on Fully Homomorphic Encryption

Martins, P., Sousa, L. A., & Mariano, A. (2017) · ACM Computing Surveys · doi:10.1145/3124441 · Cited by 174

Towards Public Key Encryption Scheme Supporting Equality Test with Fine-Grained Authorization

Tang, Q. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-22497-3_25 · Cited by 157

Dynamic Fully Anonymous Short Group Signatures

Delerablée, C., & Pointcheval, D. (2006) · Lecture notes in computer science · doi:10.1007/11958239_13 · Cited by 157

PDAFT: A privacy-preserving data aggregation scheme with fault tolerance for smart grid communications

Chen, L., Lu, R., & Cao, Z. (2014) · Peer-to-Peer Networking and Applications · doi:10.1007/s12083-014-0255-5 · Cited by 157

Quantum Homomorphic Encryption for Circuits of Low T-gate Complexity

Broadbent, A., & Jeffery, S. (2015) · Lecture notes in computer science · doi:10.1007/978-3-662-48000-7_30 · Cited by 156

Multiparty Differential Privacy via Aggregation of Locally Trained Classifiers

Pathak, M. A., Rane, S. D., & Raj, B. (2010) · Cited by 156

Onion ORAM: A Constant Bandwidth Blowup Oblivious RAM

Devadas, S., van Dijk, M., Fletcher, C. W., Ren, L., Shi, E., & Wichs, D. (2015) · Lecture notes in computer science · doi:10.1007/978-3-662-49099-0_6 · Cited by 156

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI

Yao, J., Zhang, S., Yao, Y., Wang, F., Ma, J., Zhang, J., Chu, Y., Ji, L., Jia, K., Shen, T., et al. (2022) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2022.3178211 · Cited by 161

Privacy-preserving remote diagnostics

Brickell, J., Porter, D. E., Shmatikov, V., & Witchel, E. (2007) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/1315245.1315307 · Cited by 156

Protection and Retrieval of Encrypted Multimedia Content: When Cryptography Meets Signal Processing

Erkin, Z., Piva, A., Katzenbeisser, S., Lagendijk, R. L., Shokrollahi, J., Neven, G., & Barni, M. (2007) · EURASIP Journal on Information Security · doi:10.1155/2007/78943 · Cited by 154

Privacy-Preserving Multi-Class Support Vector Machine for Outsourcing the Data Classification in Cloud

Rahulamathavan, Y., Phan, R. C. ‐., Veluru, S., Cumanan, K., & Rajarajan, M. (2014) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2013.51 · Cited by 155

Decentralized Multi-Client Functional Encryption for Inner Product

Chotard, J., Sans, E. D., Gay, R., Phan, D. H., & Pointcheval, D. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-03329-3_24 · Cited by 153

Privacy-Preserving Aggregation in Federated Learning: A Survey

Liu, Z., Guo, J., Yang, W., Fan, J., Lam, K., & Zhao, J. (2022) · IEEE Transactions on Big Data · doi:10.1109/tbdata.2022.3190835 · Cited by 163

Secure Multi-Party Computation for Machine Learning: A Survey

Zhou, I., Tofigh, F., Piccardi, M., Abolhasan, M., Franklin, D. R., & Lipman, J. (2024) · IEEE Access · doi:10.1109/access.2024.3388992 · Cited by 161

Encrypted image-based reversible data hiding with public key cryptography from difference expansion

Shiu, C.-W., Chen, Y., & Hong, W. (2015) · Signal Processing Image Communication · doi:10.1016/j.image.2015.09.014 · Cited by 152

Learning the Truth Privately and Confidently: Encrypted Confidence-Aware Truth Discovery in Mobile Crowdsensing

Zheng, Y., Duan, H., & Wang, C. (2018) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2018.2819134 · Cited by 154

FESDA: Fog-Enabled Secure Data Aggregation in Smart Grid IoT Network

Saleem, A., Khan, A., Malik, S. U. R., Pervaiz, H., Malik, H. H., Alam, M., & Jindal, A. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2957314 · Cited by 152

Homomorphic Encryption

Yi, X., Paulet, R., & Bertino, E. (2014) · SpringerBriefs in computer science · doi:10.1007/978-3-319-12229-8_2 · Cited by 152

Circular and Leakage Resilient Public-Key Encryption under Subgroup Indistinguishability

Brakerski, Z., & Goldwasser, S. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-14623-7_1 · Cited by 151

Secure and Privacy Preserving Protocol for Cloud-Based Vehicular DTNs

Zhou, J., Dong, X., Cao, Z., & Vasilakos, A. V. (2015) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2015.2407326 · Cited by 151

Privacy-Preserving and Content-Protecting Location Based Queries

Paulet, R., Kaosar, M. G., Yi, X., & Bertino, E. (2013) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2013.87 · Cited by 151

Making argument systems for outsourced computation practical (sometimes)

Setty, S., McPherson, R., Blumberg, A. J., & Walfish, M. (2012) · Cited by 151

SCRAPE: Scalable Randomness Attested by Public Entities

Cascudo, I., & David, B. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-61204-1_27 · Cited by 151

Reversible Data Hiding in Homomorphic Encrypted Domain by Mirroring Ciphertext Group

Xiang, S., & Luo, X. (2017) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2017.2742023 · Cited by 150

Secure Computation on the Web: Computing without Simultaneous Interaction

Halevi, S., Lindell, Y., & Benny Pinkas, B. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-22792-9_8 · Cited by 149

Privacy-Preserving Energy Theft Detection in Microgrids: A State Estimation Approach

Salinas, S., & Li, P. (2015) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2015.2406311 · Cited by 149

Searchable Encryption over Feature-Rich Data

Wang, Q., He, M., Du, M., Chow, S. S. M., Lai, R. W. F., & Zou, Q. (2016) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2016.2593444 · Cited by 149

A survey of algebraic properties used in cryptographic protocols

Cortier, V., Delaune, S., & Lafourcade, P. (2006) · Journal of Computer Security · doi:10.3233/jcs-2006-14101 · Cited by 149

Security and Privacy-Enhancing Multicloud Architectures

Bohli, J.-M., Gruschka, N., Jensen, M., Iacono, L. L., & Marnau, N. (2013) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2013.6 · Cited by 148

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

Wang, C., Ren, K., Wang, J., & Wang, Q. (2012) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2012.206 · Cited by 147

Privacy-preserving protocols for secure and reliable data aggregation in IoT-enabled Smart Metering systems

Tonyalı, S., Akkaya, K., Saputro, N., Uluagac, A. S., & Nojoumian, M. (2017) · Future Generation Computer Systems · doi:10.1016/j.future.2017.04.031 · Cited by 147

A Verifiable Secret Shuffe of Homomorphic Encryptions

Groth, J. (2002) · Lecture notes in computer science · doi:10.1007/3-540-36288-6_11 · Cited by 147

Non-interactive Zero-Knowledge Arguments for Voting

Groth, J. (2005) · Lecture notes in computer science · doi:10.1007/11496137_32 · Cited by 145

Secure Evaluation of Private Linear Branching Programs with Medical Applications

Barni, M., Failla, P., Kolesnikov, V., Lazzeretti, R., Sadeghi, A., & Schneider, T. H. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04444-1_26 · Cited by 144

Public key encryption schemes supporting equality test with authorisation of different granularity

Tang, Q. (2012) · International Journal of Applied Cryptography · doi:10.1504/ijact.2012.048079 · Cited by 144

Scalable and Privacy-Preserving Data Sharing Based on Blockchain

Zheng, B., Zhu, L., Shen, M., Gao, F., Zhang, C., Li, Y., & Yang, J. (2018) · Journal of Computer Science and Technology · doi:10.1007/s11390-018-1840-5 · Cited by 144

Twin Clouds: An Architecture for Secure Cloud Computing

Bugiel, S., Nürnberger, S., Sadeghi, A., & Schneider, T. H. (2011) · Cited by 143

Blind and Anonymous Identity-Based Encryption and Authorised Private Searches on Public Key Encrypted Data

Camenisch, J. L., Kohlweiss, M., Rial, A., & Sheedy, C. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-00468-1_12 · Cited by 143

Computing Blindfolded: New Developments in Fully Homomorphic Encryption

Vaikuntanathan, V. (2011) · Annual Symposium on Foundations of Computer Science · doi:10.1109/focs.2011.98 · Cited by 143

A Cryptographic Approach to Securely Share and Query Genomic Sequences

Kantarcıoğlu, M., Jiang, W., Liu, Y., & Malin, B. (2008) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2007.908465 · Cited by 143

Secure Arithmetic Computation with No Honest Majority

Ishai, Y., Prabhakaran, M., & Sahai, A. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-00457-5_18 · Cited by 143

Achieving privacy preservation in WiFi fingerprint-based localization

Li, H., Sun, L., Zhu, H., Lu, X., & Cheng, X. (2014) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infocom.2014.6848178 · Cited by 143

A Comprehensive Comparison of Multiparty Secure Additions with Differential Privacy

Goryczka, S., & Xiong, L. (2015) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2015.2484326 · Cited by 147

Helen: Maliciously Secure Coopetitive Learning for Linear Models

Zheng, W., Popa, R. A., Gonzalez, J. E., & Stoica, I. G. (2019) · IEEE Symposium on Security and Privacy (S&P) · doi:10.1109/sp.2019.00045 · Cited by 150

Oblivious Polynomial Evaluation

Naor, M., & Benny Pinkas, B. (2006) · SIAM Journal on Computing · doi:10.1137/s0097539704383633 · Cited by 143

Bounded Key-Dependent Message Security

Barak, B., Haitner, I., Hofheinz, D., & Ishai, Y. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-13190-5_22 · Cited by 142

A Scalable Scheme for Privacy-Preserving Aggregation of Time-Series Data

Jóye, M., & Libert, B. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-39884-1_10 · Cited by 141

A new public key cryptosystem based on higher residues

Naccache, D., & Stern, J. (1998) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/288090.288106 · Cited by 350

Efficient Public-Key Cryptosystems Provably Secure Against Active Adversaries

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

Paillier Algorithm

Koç, Ç. K., Özdemir, F., & Özger, Z. Ö. (2021) · Springer eBooks · doi:10.1007/978-3-030-87629-6_9 · Cited by 1

A new public-key cryptosystem as secure as factoring

Okamoto, T., & Uchiyama, S. (1998) · Lecture notes in computer science · doi:10.1007/bfb0054135 · Cited by 674

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

Cramer, R., & Shoup, V. (2002) · Lecture notes in computer science · doi:10.1007/3-540-46035-7_4 · Cited by 841