Sagar Sharma

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 22

Top Topics

Vertically Partitioned Data

Spectral Analysis

Linear Classifiers

Top Venues

IEEE Internet Comput.

Publications

V. Asha, Govindaraj M, Binju Saju, Rajeev Nayan, Ravi Kishan Kumar, Sagar Sharma
Ocular Disease Recognition using Machine Learning. ICCCNT (2023)
Sagar Sharma, Yuechun Gu, Keke Chen
A Comparative Study of Image Disguising Methods for Confidential Outsourced Learning. CoRR (2023)
Yuechun Gu, Sagar Sharma, Keke Chen
Demo: Image Disguising for Scalable GPU-accelerated Confidential Deep Learning. CCS (2023)
Keke Chen, Yuechun Gu, Sagar Sharma
DisguisedNets: Secure Image Outsourcing for Confidential Model Training in Clouds. ACM Trans. Internet Techn. 23 (3) (2023)
Sagar Sharma, Keke Chen
Confidential machine learning on untrusted platforms: a survey. Cybersecur. 4 (1) (2021)
A. K. M. Mubashwir Alam, Sagar Sharma, Keke Chen
SGX-MR: Regulating Dataflows for Protecting Access Patterns of Data-Intensive SGX Applications. Proc. Priv. Enhancing Technol. 2021 (1) (2021)
Sagar Sharma, A. K. M. Mubashwir Alam, Keke Chen
Image Disguising for Protecting Data and Model Confidentiality in Outsourced Deep Learning. CLOUD (2021)
A. K. M. Mubashwir Alam, Sagar Sharma, Keke Chen
SGX-MR: Regulating Dataflows for Protecting Access Patterns of Data-Intensive SGX Applications. CoRR (2020)
Sagar Sharma, Keke Chen
Confidential Machine Learning on Untrusted Platforms: A Survey. CoRR (2020)
Jaishree Ranganathan, Sagar Sharma, Angelina A. Tzacheva
Hybrid Scalable Action Rule: Rule Based and Object Based. ICCDA (2020)
Sagar Sharma, Keke Chen
Disguised-Nets: Image Disguising for Privacy-preserving Deep Learning. CoRR (2019)
Sagar Sharma, James Powers, Keke Chen
PrivateGraph: Privacy-Preserving Spectral Analysis of Encrypted Graphs in the Cloud. IEEE Trans. Knowl. Data Eng. 31 (5) (2019)
Sagar Sharma, Keke Chen
Confidential Boosting with Random Linear Classifiers for Outsourced User-Generated Data. ESORICS (1) (2019)
Sagar Sharma, Keke Chen, Amit P. Sheth
Towards Practical Privacy-Preserving Analytics for IoT and Cloud Based Healthcare Systems. CoRR (2018)
Sagar Sharma, Keke Chen
Privacy-Preserving Boosting with Random Linear Classifiers. CCS (2018)
Sagar Sharma, Keke Chen
Privacy-Preserving Boosting with Random Linear Classifiers for Learning from User-Generated Data. CoRR (2018)
Sagar Sharma, Rakesh Kumar Mishra
Device to monitor quiet breath of CRD patients. HealthCom (2018)
Sagar Sharma, Keke Chen, Amit P. Sheth
Toward Practical Privacy-Preserving Analytics for IoT and Cloud-Based Healthcare Systems. IEEE Internet Comput. 22 (2) (2018)
Sagar Sharma, Keke Chen
Image Disguising for Privacy-preserving Deep Learning. CCS (2018)
Rakesh Kumar Mishra, Sagar Sharma
Novel technique for estimating Quiet breath Rate and Strength. ICACCI (2018)
Sagar Sharma, Keke Chen
PrivateGraph: A Cloud-Centric System for Spectral Analysis of Large Encrypted Graphs. ICDCS (2017)
Sagar Sharma, James Powers, Keke Chen
Privacy-Preserving Spectral Analysis of Large Graphs in Public Clouds. AsiaCCS (2016)
Zohreh Alavi, Sagar Sharma, Lu Zhou, Keke Chen
Scalable Euclidean Embedding for Big Data. CLOUD (2015)