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​