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