Detailed comparison of communication efficiency of split learning and federated learning. - Abhishek Singh 005; Praneeth Vepakomma; Otkrist Gupta; Ramesh Raskar (CoRR, 2019)

Maximal adversarial perturbations for obfuscation: Hiding certain attributes while preserving rest. - Indu Ilanchezian; Praneeth Vepakomma; Abhishek Singh 005; Otkrist Gupta; G. N. Srinivasa Prasanna; Ramesh Raskar (CoRR, 2019)

NoPeek: Information leakage reduction to share activations in distributed deep learning. - Praneeth Vepakomma; Abhishek Singh 005; Otkrist Gupta; Ramesh Raskar (ICDM (Workshops), 2020)

Apps Gone Rogue: Maintaining Personal Privacy in an Epidemic. - Ramesh Raskar; Isabel Schunemann; Rachel Barbar; Kristen Vilcans; Jim Gray; Praneeth Vepakomma; Suraj Kapa; Andrea Nuzzo; Rajiv Gupta; Alex Berke; Dazza Greenwood; Christian Keegan; et al. (CoRR, 2020)

Privacy in Deep Learning: A Survey. - Fatemehsadat Mireshghallah; Mohammadkazem Taram; Praneeth Vepakomma; Abhishek Singh 005; Ramesh Raskar; Hadi Esmaeilzadeh (CoRR, 2020)

Adding Location and Global Context to the Google/Apple Exposure Notification Bluetooth API. - Ramesh Raskar; Abhishek Singh 005; Sam Zimmerman; Shrikant Kanaparti (CoRR, 2020)

FedML: A Research Library and Benchmark for Federated Machine Learning. - Chaoyang He 001; Songze Li; Jinhyun So; Mi Zhang 002; Hongyi Wang 001; Xiaoyang Wang; Praneeth Vepakomma; Abhishek Singh 005; Hang Qiu 001; Li Shen 005; Peilin Zhao; Yan Kang 001; et al. (CoRR, 2020)

SplitNN-driven Vertical Partitioning. - Iker Ceballos; Vivek Sharma 001; Eduardo Mugica; Abhishek Singh 005; Alberto Roman; Praneeth Vepakomma; Ramesh Raskar (CoRR, 2020)

PPContactTracing: A Privacy-Preserving Contact Tracing Protocol for COVID-19 Pandemic. - Priyanka Singh; Abhishek Singh 005; Gabriel Cojocaru; Praneeth Vepakomma; Ramesh Raskar (CoRR, 2020)

Comparing manual contact tracing and digital contact advice. - Ramesh Raskar; Ranu Dhillon; Suraj Kapa; Deepti Pahwa; Renaud Falgas; Lagnojita Sinha; Aarathi Prasad; Abhishek Singh 005; Andrea Nuzzo; Rohan Iyer; Vivek Sharma 001 (CoRR, 2020)

Proximity Sensing for Contact Tracing. - Sheshank Shankar; Ayush Chopra; Rishank Kanaparti; Myungsun Kang; Abhishek Singh 005; Ramesh Raskar (CoRR, 2020)

Proximity Inference with Wifi-Colocation during the COVID-19 Pandemic. - Mikhail Dmitrienko; Abhishek Singh 005; Patrick Erichsen; Ramesh Raskar (CoRR, 2020)

Target Privacy Threat Modeling for COVID-19 Exposure Notification Systems. - Ananya Gangavarapu; Ellie Daw; Abhishek Singh 005; Rohan Iyer; Gabriel Harp; Sam Zimmerman; Ramesh Raskar (CoRR, 2020)

Digital Landscape of COVID-19 Testing: Challenges and Opportunities. - Darshan Gandhi; Rohan Sukumaran; Priyanshi Katiyar; Alex Radunsky; Sunaina Anand; Shailesh Advani; Jil Kothari; Kasia Jakimowicz; Sheshank Shankar; Sethuraman T. V.; Krutika Misra; Aishwarya Saxena; et al. (CoRR, 2020)

Verifiable Proof of Health using Public Key Cryptography. - Abhishek Singh 005; Ramesh Raskar (CoRR, 2020)

DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks. - Abhishek Singh 005; Ayush Chopra; Ethan Garza; Emily Zhang; Praneeth Vepakomma; Vivek Sharma 001; Ramesh Raskar (CVPR, 2021)

NoPeek-Infer: Preventing face reconstruction attacks in distributed inference after on-premise training. - Praneeth Vepakomma; Abhishek Singh 005; Emily Zhang; Otkrist Gupta; Ramesh Raskar (FG, 2021)

Spatial K-anonymity: A Privacy-preserving Method for COVID-19 Related Geo-spatial Technologies. - Rohan Iyer; Regina Rex; Kevin P. McPherson; Darshan Gandhi; Aryan Mahindra; Abhishek Singh 005; Ramesh Raskar (GISTAM, 2021)

COVID-19 Tests Gone Rogue: Privacy, Efficacy, Mismanagement and Misunderstandings. - Manuel Morales; Rachel Barbar; Darshan Gandhi; Sanskruti Landage; Joseph Bae; Arpita Vats; Jil Kothari; Sheshank Shankar; Rohan Sukumaran; Himi Mathur; Krutika Misra; Aishwarya Saxena; et al. (CoRR, 2021)

Spatial K-anonymity: A Privacy-preserving Method for COVID-19 Related Geospatial Technologies. - Rohan Iyer; Regina Rex; Kevin P. McPherson; Darshan Gandhi; Aryan Mahindra; Abhishek Singh 005; Ramesh Raskar (CoRR, 2021)

MIT SafePaths Card (MiSaCa): Augmenting Paper Based Vaccination Cards with Printed Codes. - Joseph Bae; Rohan Sukumaran; Sheshank Shankar; Saurish Srivastava; Rohan Iyer; Aryan Mahindra; Qamil Mirza; Maurizio Arseni; Anshuman Sharma; Saras Agrawal; Orna Mukhopadhyay; Colin Kang; et al. (CoRR, 2021)

COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms. - Rohan Sukumaran; Parth Patwa; T. V. Sethuraman; Sheshank Shankar; Rishank Kanaparti; Joseph Bae; Yash Mathur; Abhishek Singh 005; Ayush Chopra; Myungsun Kang; Priya Ramaswamy; Ramesh Raskar (CoRR, 2021)

Mobile Apps Prioritizing Privacy, Efficiency and Equity: A Decentralized Approach to COVID-19 Vaccination Coordination. - Joseph Bae; Rohan Sukumaran; Sheshank Shankar; Anshuman Sharma; Ishaan Singh; Haris Nazir; Colin Kang; Saurish Srivastava; Parth Patwa; Abhishek Singh 005; Priyanshi Katiyar; Vitor Pamplona; et al. (CoRR, 2021)

Safepaths: Vaccine Diary Protocol and Decentralized Vaccine Coordination System using a Privacy Preserving User Centric Experience. - Abhishek Singh 005; Ramesh Raskar; Anna Lysyanskaya (CoRR, 2021)

Can Self Reported Symptoms Predict Daily COVID-19 Cases? - Parth Patwa; Viswanatha Reddy; Rohan Sukumaran; Sethuraman TV; Eptehal Nashnoush; Sheshank Shankar; Rishemjit Kaur; Abhishek Singh 005; Ramesh Raskar (CoRR, 2021)

Automatic calibration of time of flight based non-line-of-sight reconstruction. - Subhash Chandra Sadhu; Abhishek Singh 005; Tomohiro Maeda; Tristan Swedish; Ryan Kim; Lagnojita Sinha; Ramesh Raskar (CoRR, 2021)

AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning. - Ayush Chopra; Surya Kant Sahu; Abhishek Singh 005; Abhinav Java; Praneeth Vepakomma; Vivek Sharma 001; Ramesh Raskar (CoRR, 2021)

Learning to Censor by Noisy Sampling. - Ayush Chopra; Abhinav Java; Abhishek Singh 005; Vivek Sharma 001; Ramesh Raskar (ECCV (13), 2022)

Decouple-and-Sample: Protecting Sensitive Information in Task Agnostic Data Release. - Abhishek Singh 005; Ethan Garza; Ayush Chopra; Praneeth Vepakomma; Vivek Sharma 001; Ramesh Raskar (ECCV (13), 2022)

Scalable Collaborative Learning via Representation Sharing. - Frédéric Berdoz; Abhishek Singh 005; Martin Jaggi; Ramesh Raskar (CoRR, 2022)

Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release. - Abhishek Singh 005; Praneeth Vepakomma; Vivek Sharma 001; Ramesh Raskar (NeurIPS, 2023)

Overcoming Trust and Incentive Barriers in Decentralized AI. - Abhishek Singh 005; Charles Lu 001; Ramesh Raskar (CogMI, 2024)

SIMBA: Split Inference - Mechanisms, Benchmarks and Attacks. - Abhishek Singh 005; Vivek Sharma 001; Rohan Sukumaran; John Mose; Jeffrey Chiu; Justin Yu; Ramesh Raskar (ECCV (76), 2024)

DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images. - Zaid Tasneem; Akshat Dave; Abhishek Singh 005; Kushagra Tiwary; Praneeth Vepakomma; Ashok Veeraraghavan; Ramesh Raskar (ECCV (59), 2024)

CoDream: Exchanging dreams instead of models for federated aggregation with heterogeneous models. - Abhishek Singh 005; Gauri Gupta; Ritvik Kapila; Yichuan Shi; Alex Dang; Sheshank Shankar; Mohammed Ehab; Ramesh Raskar (CoRR, 2024)

Dealing Doubt: Unveiling Threat Models in Gradient Inversion Attacks under Federated Learning, A Survey and Taxonomy. - Yichuan Shi; Olivera Kotevska; Viktor Reshniak; Abhishek Singh 005; Ramesh Raskar (CoRR, 2024)

Co-Dream: Collaborative Dream Synthesis over Decentralized Models. - Abhishek Singh 005; Gauri Gupta; Yichuan Shi; Alex Dang; Ritvik Kapila; Sheshank Shankar; Mohammed Ehab; Ramesh Raskar (AAAI, 2025)

Upgrade or Switch: Do We Need a New Registry Architecture for the Internet of AI Agents? - Ramesh Raskar; Pradyumna Chari; Jared James Grogan; Mahesh Lambe; Robert Lincourt; Raghu Bala; Abhishek Singh 005; Ayush Chopra; Rajesh Ranjan; Shailja Gupta; Dimitris Stripelis; Maria Gorskikh; et al. (CoRR, 2025)

Beyond DNS: Unlocking the Internet of AI Agents via the NANDA Index and Verified AgentFacts. - Ramesh Raskar; Pradyumna Chari; John Zinky; Mahesh Lambe; Jared James Grogan; Sichao Wang; Rajesh Ranjan; Rekha Singhal; Shailja Gupta; Robert Lincourt; Raghu Bala; Aditi Joshi; et al. (CoRR, 2025)

A Survey of AI Agent Registry Solutions. - Aditi Singh; Abul Ehtesham; Ramesh Raskar; Mahesh Lambe; Pradyumna Chari; Jared James Grogan; Abhishek Singh 005; Saket Kumar (CoRR, 2025)