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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