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Pathcheck
PathCheck: Privacy-Preserving Crowdsourcing for Citizen Engagement
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Privacy Preserved AI for HealthCare
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Our research papers and articles
Privacy
Apps Gone Rogue: Maintaining Personal Privacy in an Epidemic
Verifiable Proof of Health using Public Key Cryptography
PPContactTracing: A Privacy-Preserving Contact Tracing Protocol for COVID-19 Pandemic
Digital Contact Tracing
Comparing manual contact tracing and digital contact advice
Proximity Sensing: Modeling and Understanding Noisy RSSI-BLE Signals and Other Mobile Sensor Data for Digital Contact Tracing
Proximity Interference with Wifi-Colocation during the COVID-19 Pandemic
Spatial K-anonymity: A Privacy-preserving Method for COVID-19 Related Geo-spatial Technologies
COVID-19 Contact-Tracing Mobile Apps: Evaluation and Assessment for Decision Makers
Contact Tracing: Holistic Solution beyond Bluetooth
Contact Tracing to Manage COVID19 Spread – Balancing Personal Privacy and Public Health
The Architecture of Trust in Contact Tracing
Adding Location and Global Context to the Google/Apple Exposure Notification Bluetooth API
Equitable Vaccine Distribution and Coordination
Mobile Apps Prioritizing Privacy, Efficiency and Equity: A Decentralized Approach to COVID-19 Vaccination Coordination
Challenges of Equitable Vaccine Distribution in the COVID-19 Pandemic
Vaccination Worldwide: Strategies, Distribution and Challenges
The Public Health Impact of Delaying a Second Dose of the BNT162b2 or mRNA-1273 COVID-19 Vaccine
Vaccine Credentials
MIT SafePaths Card (MiSaCa): Augmenting Paper Based Vaccination Cards with Printed Codes
Paper card-based vs application-based vaccine credentials: a comparison
COVID-19 Testing
Clinical landscape of covid-19 testing: Difficult choices
COVID-19 Tests Gone Rogue: Privacy, Efficacy, Mismanagement and Misunderstandings
Digital Landscape of COVID-19 Testing: Challenges and Opportunities
Pandemic Prediction
COVID-driven Risk Profile
Can self-reported symptoms predict daily COVID-19 cases?
COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms
Analysis of Tata-1mg data for Covid-19 2nd wave prediction in India
Estimating Active Cases of COVID-19
Split Learning and Federated Learning
Distributed learning of deep neural network over multiple agents, Accepted in Journal of Network and Computer Applications 116
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation, Accepted to CVPR 2021
FedML: A Research Library and Benchmark for Federated Machine Learning, (Baidu Best Paper Award at NeurIPS-SpicyFL 2020)
NoPeek: Information leakage reduction to share activations in distributed deep learning
Split learning for health: Distributed deep learning without sharing raw patient data, Accepted to ICLR 2019 Workshop on AI for social good
Detailed comparison of communication efficiency of split learning and federated learning
ExpertMatcher: Automating ML Model Selection for Users in Resource Constrained Countries,
Split Learning for collaborative deep learning in healthcare
Differential Privacy
Differentially Private Supervised Manifold Learning with Applications like Private Image Retrieval
DAMS: Meta-estimation of private sketch data structures for differentially private COVID-19 contact tracing, PPML-NeurIPS 2020
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