Sagar Sharma

According to our database, Sagar Sharma authored at least 21 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

DisguisedNets: Secure Image Outsourcing for Confidential Model Training in Clouds.

Keke Chen, Yuechun Gu, Sagar Sharma

ACM Trans. Internet Techn., August, 2023

A Comparative Study of Image Disguising Methods for Confidential Outsourced Learning.

Sagar Sharma, Yuechun Gu, Keke Chen

CoRR, 2023

Ocular Disease Recognition using Machine Learning.

V. Asha, Govindaraj M, Binju Saju, Rajeev Nayan, Ravi Kishan Kumar, Sagar Sharma

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Demo: Image Disguising for Scalable GPU-accelerated Confidential Deep Learning.

Yuechun Gu, Sagar Sharma, Keke Chen

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2021

SGX-MR: Regulating Dataflows for Protecting Access Patterns of Data-Intensive SGX Applications.

A. K. M. Mubashwir Alam, Sagar Sharma, Keke Chen

Proc. Priv. Enhancing Technol., 2021

Confidential machine learning on untrusted platforms: a survey.

Sagar Sharma, Keke Chen

Cybersecur., 2021

Image Disguising for Protecting Data and Model Confidentiality in Outsourced Deep Learning.

Sagar Sharma, A. K. M. Mubashwir Alam, Keke Chen

Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

2020

Hybrid Scalable Action Rule: Rule Based and Object Based.

Jaishree Ranganathan, Sagar Sharma, Angelina A. Tzacheva

Proceedings of the ICCDA 2020: The 4th International Conference on Compute and Data Analysis, 2020

2019

PrivateGraph: Privacy-Preserving Spectral Analysis of Encrypted Graphs in the Cloud.

Sagar Sharma, James Powers, Keke Chen

IEEE Trans. Knowl. Data Eng., 2019

Disguised-Nets: Image Disguising for Privacy-preserving Deep Learning.

Sagar Sharma, Keke Chen

CoRR, 2019

Confidential Boosting with Random Linear Classifiers for Outsourced User-Generated Data.

Sagar Sharma, Keke Chen

Proceedings of the Computer Security - ESORICS 2019, 2019

2018

Toward Practical Privacy-Preserving Analytics for IoT and Cloud-Based Healthcare Systems.

Sagar Sharma, Keke Chen, Amit P. Sheth

IEEE Internet Comput., 2018

Towards Practical Privacy-Preserving Analytics for IoT and Cloud Based Healthcare Systems.

Sagar Sharma, Keke Chen, Amit P. Sheth

CoRR, 2018

Privacy-Preserving Boosting with Random Linear Classifiers for Learning from User-Generated Data.

Sagar Sharma, Keke Chen

CoRR, 2018

Novel technique for estimating Quiet breath Rate and Strength.

Rakesh Kumar Mishra, Sagar Sharma

Proceedings of the 2018 International Conference on Advances in Computing, 2018

Device to monitor quiet breath of CRD patients.

Sagar Sharma, Rakesh Kumar Mishra

Proceedings of the 20th IEEE International Conference on e-Health Networking, 2018

Privacy-Preserving Boosting with Random Linear Classifiers.

Sagar Sharma, Keke Chen

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

Image Disguising for Privacy-preserving Deep Learning.

Sagar Sharma, Keke Chen

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

2017

PrivateGraph: A Cloud-Centric System for Spectral Analysis of Large Encrypted Graphs.

Sagar Sharma, Keke Chen

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

2016

Privacy-Preserving Spectral Analysis of Large Graphs in Public Clouds.

Sagar Sharma, James Powers, Keke Chen

Proceedings of the 11th ACM on Asia Conference on Computer and Communications Security, 2016

2015

Scalable Euclidean Embedding for Big Data.

Zohreh Alavi, Sagar Sharma, Lu Zhou, Keke Chen

Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015