Information and Computing Sciences

RSS feed

AllSEARCH

sort by:

collection:
Machine learning cryptography methods for IoT in healthcare

posted on 2024-08-18 in Springer Nature

Additional file 2 of Machine learning cryptography methods for IoT in healthcare

journal contribution posted on 2024-08-15 in Springer Nature

collection:
COLLAGENE enables privacy-aware federated and collaborative genomic data analysis

posted on 2024-08-13 in Springer Nature

Additional file 1 of COLLAGENE enables privacy-aware federated and collaborative genomic data analysis

journal contribution posted on 2024-08-13 in Springer Nature

collection:
Some examples of privacy-preserving sharing of COVID-19 pandemic data with statistical utility evaluation

posted on 2024-08-13 in Springer Nature

Additional file 1 of Some examples of privacy-preserving sharing of COVID-19 pandemic data with statistical utility evaluation

journal contribution posted on 2024-08-13 in Springer Nature

collection:
EasySMPC: a simple but powerful no-code tool for practical secure multiparty computation

posted on 2024-08-13 in Springer Nature

Additional file 2 of EasySMPC: a simple but powerful no-code tool for practical secure multiparty computation

journal contribution posted on 2024-08-13 in Springer Nature

Additional file 1 of EasySMPC: a simple but powerful no-code tool for practical secure multiparty computation

journal contribution posted on 2024-08-13 in Springer Nature

Additional file 1 of Machine learning cryptography methods for IoT in healthcare

journal contribution posted on 2024-06-04 in Springer Nature

collection:
SVAT: Secure outsourcing of variant annotation and genotype aggregation

posted on 2022-10-02 in Springer Nature

Additional file 1 of SVAT: Secure outsourcing of variant annotation and genotype aggregation

journal contribution posted on 2022-10-02 in Springer Nature

collection:
SPIKE: secure and private investigation of the kidney exchange problem

posted on 2022-09-23 in Springer Nature

Additional file 1 of SPIKE: secure and private investigation of the kidney exchange problem

journal contribution posted on 2022-09-23 in Springer Nature

collection:
Accurate training of the Cox proportional hazards model on vertically-partitioned data while preserving privacy

posted on 2022-02-25 in Springer Nature

Additional file 2 of Accurate training of the Cox proportional hazards model on vertically-partitioned data while preserving privacy

journal contribution posted on 2022-02-25 in Springer Nature

Additional file 1 of Accurate training of the Cox proportional hazards model on vertically-partitioned data while preserving privacy

journal contribution posted on 2022-02-25 in Springer Nature

SOFTWARE

fp21axpy

software posted on 2021-01-08 in Springer Nature

collection:
Perspectives regarding privacy in clinical research among research professionals from the Arab region: an exploratory qualitative study

posted on 2020-04-16 in Springer Nature

Additional file 1 of Perspectives regarding privacy in clinical research among research professionals from the Arab region: an exploratory qualitative study

journal contribution posted on 2020-04-16 in Springer Nature

SOFTWARE

Software artifact for Euro-Par 2018: Batched Tile Low-Rank GEMM on GPUs

software posted on 2018-08-28 in Springer Nature

Information and Computing Sciences

collection: Machine learning cryptography methods for IoT in healthcare

Additional file 2 of Machine learning cryptography methods for IoT in healthcare

collection: COLLAGENE enables privacy-aware federated and collaborative genomic data analysis

Additional file 1 of COLLAGENE enables privacy-aware federated and collaborative genomic data analysis

collection: Some examples of privacy-preserving sharing of COVID-19 pandemic data with statistical utility evaluation

Additional file 1 of Some examples of privacy-preserving sharing of COVID-19 pandemic data with statistical utility evaluation

collection: EasySMPC: a simple but powerful no-code tool for practical secure multiparty computation

Additional file 2 of EasySMPC: a simple but powerful no-code tool for practical secure multiparty computation

Additional file 1 of EasySMPC: a simple but powerful no-code tool for practical secure multiparty computation

Additional file 1 of Machine learning cryptography methods for IoT in healthcare

collection: SVAT: Secure outsourcing of variant annotation and genotype aggregation

Additional file 1 of SVAT: Secure outsourcing of variant annotation and genotype aggregation

collection: SPIKE: secure and private investigation of the kidney exchange problem

Additional file 1 of SPIKE: secure and private investigation of the kidney exchange problem

collection: Accurate training of the Cox proportional hazards model on vertically-partitioned data while preserving privacy

Additional file 2 of Accurate training of the Cox proportional hazards model on vertically-partitioned data while preserving privacy

Additional file 1 of Accurate training of the Cox proportional hazards model on vertically-partitioned data while preserving privacy

fp21axpy

collection: Perspectives regarding privacy in clinical research among research professionals from the Arab region: an exploratory qualitative study

Additional file 1 of Perspectives regarding privacy in clinical research among research professionals from the Arab region: an exploratory qualitative study

Software artifact for Euro-Par 2018: Batched Tile Low-Rank GEMM on GPUs

collection:
Machine learning cryptography methods for IoT in healthcare

collection:
COLLAGENE enables privacy-aware federated and collaborative genomic data analysis

collection:
Some examples of privacy-preserving sharing of COVID-19 pandemic data with statistical utility evaluation

collection:
EasySMPC: a simple but powerful no-code tool for practical secure multiparty computation

collection:
SVAT: Secure outsourcing of variant annotation and genotype aggregation

collection:
SPIKE: secure and private investigation of the kidney exchange problem

collection:
Accurate training of the Cox proportional hazards model on vertically-partitioned data while preserving privacy

collection:
Perspectives regarding privacy in clinical research among research professionals from the Arab region: an exploratory qualitative study