Scalable Euclidean Embedding for Big Data. - Zohreh Alavi; Sagar Sharma; Lu Zhou; Keke Chen (CLOUD, 2015)

Privacy-Preserving Spectral Analysis of Large Graphs in Public Clouds. - Sagar Sharma; James Powers; Keke Chen (AsiaCCS, 2016)

PrivateGraph: A Cloud-Centric System for Spectral Analysis of Large Encrypted Graphs. - Sagar Sharma; Keke Chen (ICDCS, 2017)

Image Disguising for Privacy-preserving Deep Learning. - Sagar Sharma; Keke Chen (CCS, 2018)

Privacy-Preserving Boosting with Random Linear Classifiers. - Sagar Sharma; Keke Chen (CCS, 2018)

Device to monitor quiet breath of CRD patients. - Sagar Sharma; Rakesh Kumar Mishra (HealthCom, 2018)

Novel technique for estimating Quiet breath Rate and Strength. - Rakesh Kumar Mishra; Sagar Sharma (ICACCI, 2018)

Privacy-Preserving Boosting with Random Linear Classifiers for Learning from User-Generated Data. - Sagar Sharma; Keke Chen (CoRR, 2018)

Towards Practical Privacy-Preserving Analytics for IoT and Cloud Based Healthcare Systems. - Sagar Sharma; Keke Chen; Amit P. Sheth (CoRR, 2018)

Toward Practical Privacy-Preserving Analytics for IoT and Cloud-Based Healthcare Systems. - Sagar Sharma; Keke Chen; Amit P. Sheth (IEEE Internet Comput., 2018)

Confidential Boosting with Random Linear Classifiers for Outsourced User-Generated Data. - Sagar Sharma; Keke Chen (ESORICS (1), 2019)

Disguised-Nets: Image Disguising for Privacy-preserving Deep Learning. - Sagar Sharma; Keke Chen (CoRR, 2019)

PrivateGraph: Privacy-Preserving Spectral Analysis of Encrypted Graphs in the Cloud. - Sagar Sharma; James Powers; Keke Chen (IEEE Trans. Knowl. Data Eng., 2019)

Hybrid Scalable Action Rule: Rule Based and Object Based. - Jaishree Ranganathan; Sagar Sharma; Angelina A. Tzacheva (ICCDA, 2020)

Image Disguising for Protecting Data and Model Confidentiality in Outsourced Deep Learning. - Sagar Sharma; A. K. M. Mubashwir Alam; Keke Chen (CLOUD, 2021)

Confidential machine learning on untrusted platforms: a survey. - Sagar Sharma; Keke Chen (Cybersecur., 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)

Demo: Image Disguising for Scalable GPU-accelerated Confidential Deep Learning. - Yuechun Gu; Sagar Sharma; Keke Chen (CCS, 2023)

Ocular Disease Recognition using Machine Learning. - V. Asha; Govindaraj M; Binju Saju; Rajeev Nayan; Ravi Kishan Kumar; Sagar Sharma (ICCCNT, 2023)

A Comparative Study of Image Disguising Methods for Confidential Outsourced Learning. - Sagar Sharma; Yuechun Gu; Keke Chen (CoRR, 2023)

DisguisedNets: Secure Image Outsourcing for Confidential Model Training in Clouds. - Keke Chen; Yuechun Gu; Sagar Sharma (ACM Trans. Internet Techn., 2023)

Budget Recycling Differential Privacy. - Bo Jiang; Jian Du; Sagar Sharma; Qiang Yan (SP, 2024)

Meeting Utility Constraints in Differential Privacy: A Privacy-Boosting Approach. - Bo Jiang; Wanrong Zhang 004; Donghang Lu; Jian Du; Sagar Sharma; Qiang Yan (SP, 2025)

Visuotactile Diffusion Policy: Automated Failure Recovery in Assistive Tasks with Tactile Manipulation Using Imitation Learning. - Sagar Sharma; Yonghyun Kim; Chung Hyuk Park (UR, 2025)

Interpreting Differential Privacy in Terms of Disclosure Risk. - Zeki Kazan; Sagar Sharma; Wanrong Zhang 004; Bo Jiang; Qiang Yan (CoRR, 2025)