# Our research papers and articles

**Privacy**&#x20;

* [**Apps Gone Rogue: Maintaining Personal Privacy in an Epidemic**](https://arxiv.org/abs/2003.08567)
* [**Verifiable Proof of Health using Public Key Cryptography**](https://arxiv.org/abs/2012.02885)
* [**PPContactTracing: A Privacy-Preserving Contact Tracing Protocol for COVID-19 Pandemic**](https://arxiv.org/abs/2008.06648)

**Digital Contact Tracing**&#x20;

* [**Comparing manual contact tracing and digital contact advice**](https://arxiv.org/abs/2008.07325)
* [**Proximity Sensing: Modeling and Understanding Noisy RSSI-BLE Signals and Other Mobile Sensor Data for Digital Contact Tracing**](https://arxiv.org/abs/2009.04991)
* [**Proximity Interference with Wifi-Colocation during the COVID-19 Pandemic**](https://arxiv.org/abs/2009.12699)
* [**Spatial K-anonymity: A Privacy-preserving Method for COVID-19 Related Geo-spatial Technologies**](https://arxiv.org/abs/2101.02556)
* [**COVID-19 Contact-Tracing Mobile Apps: Evaluation and Assessment for Decision Makers**](https://arxiv.org/abs/2006.05812)
* [**Contact Tracing: Holistic Solution beyond Bluetooth**](http://sites.computer.org/debull/A20june/p67.pdf)
* [**Contact Tracing to Manage COVID19 Spread – Balancing Personal Privacy and Public Health**](https://www.mayoclinicproceedings.org/article/S0025-6196\(20\)30424-9/fulltext)
* [**The Architecture of Trust in Contact Tracing**](https://f.hubspotusercontent40.net/hubfs/8097148/documents/evaluating-contact-tracing-apps.pdf)
* [**Adding Location and Global Context to the Google/Apple Exposure Notification Bluetooth API**](https://arxiv.org/abs/2007.02317)

**Equitable Vaccine Distribution and Coordination**

* [**Mobile Apps Prioritizing Privacy, Efficiency and Equity: A Decentralized Approach to COVID-19 Vaccination Coordination**](https://arxiv.org/abs/2102.09372)
* [**Challenges of Equitable Vaccine Distribution in the COVID-19 Pandemic**](https://arxiv.org/abs/2012.12263)&#x20;
* [**Vaccination Worldwide: Strategies, Distribution and Challenges**](https://www.researchgate.net/profile/Sheshank-Shankar-2/publication/349787933_Vaccination_Worldwide_Strategies_Distribution_and_Challenges/links/6041a104a6fdcc9c78122a66/Vaccination-Worldwide-Strategies-Distribution-and-Challenges.pdf)
* [**The Public Health Impact of Delaying a Second Dose of the BNT162b2 or mRNA-1273 COVID-19 Vaccine**](https://www.medrxiv.org/content/10.1101/2021.02.23.21252299v1)

**Vaccine Credentials**&#x20;

* [**MIT SafePaths Card (MiSaCa): Augmenting Paper Based Vaccination Cards with Printed Codes**](https://arxiv.org/abs/2101.07931)
* [**Paper card-based vs application-based vaccine credentials: a comparison**](https://arxiv.org/abs/2102.04512)

**COVID-19 Testing**&#x20;

* [**Clinical landscape of covid-19 testing: Difficult choices**](https://arxiv.org/abs/2011.04202)
* [**COVID-19 Tests Gone Rogue: Privacy, Efficacy, Mismanagement and Misunderstandings**](https://arxiv.org/abs/2101.01693)
* [**Digital Landscape of COVID-19 Testing: Challenges and Opportunities**](https://arxiv.org/abs/2012.01772)

**Pandemic Prediction**&#x20;

* [**COVID-driven Risk Profile**](https://www.researchgate.net/publication/345823059_COVID-driven_Risk_Profile)
* [**Can self-reported symptoms predict daily COVID-19 cases?**](https://arxiv.org/pdf/2105.08321.pdf)
* [**COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms**](https://arxiv.org/abs/2101.10266)
* [**Analysis of Tata-1mg data for Covid-19 2nd wave prediction in India**](https://scholar.google.com/citations?view_op=view_citation\&hl=en\&user=3NGJNQIAAAAJ\&sortby=pubdate\&citation_for_view=3NGJNQIAAAAJ:UebtZRa9Y70C)
* [**Estimating Active Cases of COVID-19**](https://ui.adsabs.harvard.edu/abs/2021arXiv210803284A/abstract)

**Split Learning and Federated Learning**

* [**Distributed learning of deep neural network over multiple agents, Accepted in Journal of Network and Computer Applications 116**](https://www.sciencedirect.com/science/article/pii/S1084804518301590)
* [**DISCO: Dynamic and Invariant Sensitive Channel Obfuscation, Accepted to CVPR 2021**](https://github.com/splitlearning/splitlearning.github.io/blob/master/DISCO.pdf)
* [**FedML: A Research Library and Benchmark for Federated Machine Learning, (Baidu Best Paper Award at NeurIPS-SpicyFL 2020)**](https://www.media.mit.edu/publications/fedml-a-research-library-and-benchmark-for-federated-machine-learning/)
* [**NoPeek: Information leakage reduction to share activations in distributed deep learning**](https://arxiv.org/abs/2008.09161)
* [**Split learning for health: Distributed deep learning without sharing raw patient data, Accepted to ICLR 2019 Workshop on AI for social good**](https://arxiv.org/pdf/1812.00564.pdf)
* [**Detailed comparison of communication efficiency of split learning and federated learning**](https://arxiv.org/pdf/1909.09145.pdf)
* [**ExpertMatcher: Automating ML Model Selection for Users in Resource Constrained Countries,**](https://arxiv.org/pdf/1910.02312.pdf)
* [**Split Learning for collaborative deep learning in healthcare**](https://arxiv.org/abs/1912.12115)

**Differential Privacy**

* [**Differentially Private Supervised Manifold Learning with Applications like Private Image Retrieval**](https://arxiv.org/pdf/2102.10802.pdf)
* [**DAMS: Meta-estimation of private sketch data structures for differentially private COVID-19 contact tracing, PPML-NeurIPS 2020**](https://github.com/PrivateKit/PrivacyDocuments/blob/master/DAMS_Meta-estimation_of_private_sketch_data_structures_for_differentially_private_contact_tracing.pdf)
