Ramesh Raskar

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MIT

Associate Professor at MIT Media Lab, Special Projects at Facebook, Founder at REDX.io

AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning

Wireless channels can be inherently privacy-preserving by distorting the...
05/02/2021 ∙ by Yusuke Koda, et al. ∙ 123 ∙ share

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Safepaths: Vaccine Diary Protocol and Decentralized Vaccine Coordination System using a Privacy Preserving User Centric Experience

In this early draft, we present an end-to-end decentralized protocol for...
03/01/2021 ∙ by Abhishek Singh, et al. ∙ 0 ∙ share

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Differentially Private Supervised Manifold Learning with Applications like Private Image Retrieval

Differential Privacy offers strong guarantees such as immutable privacy ...
02/22/2021 ∙ by Praneeth Vepakomma, et al. ∙ 0 ∙ share

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MIT SafePaths Card (MiSaCa): Augmenting Paper Based Vaccination Cards with Printed Codes

In this early draft, we describe a user-centric, card-based system for v...
01/20/2021 ∙ by Joseph Bae, et al. ∙ 0 ∙ share

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COVID-19 Tests Gone Rogue: Privacy, Efficacy,Mismanagement and Misunderstandings

COVID-19 testing, the cornerstone for effective screening and identifica...
01/05/2021 ∙ by Manuel Morales, et al. ∙ 0 ∙ share

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Spatial K-anonymity: A Privacy-preserving Method for COVID-19 Related Geospatial Technologies

There is a growing need for spatial privacy considerations in the many g...
01/04/2021 ∙ by Rohan Iyer, et al. ∙ 0 ∙ share

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COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms

The COVID-19 pandemic has challenged scientists and policy-makers intern...
12/21/2020 ∙ by Rohan Sukumaran, et al. ∙ 0 ∙ share

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DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks

Recent deep learning models have shown remarkable performance in image c...
12/20/2020 ∙ by Abhishek Singh, et al. ∙ 18 ∙ share

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Verifiable Proof of Health using Public Key Cryptography

In the current pandemic, testing continues to be the most important tool...
12/04/2020 ∙ by Abhishek Singh, et al. ∙ 0 ∙ share

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Digital Landscape of COVID-19 Testing: Challenges and Opportunities

The COVID-19 Pandemic has left a devastating trail all over the world, i...
12/03/2020 ∙ by Darshan Gandhi, et al. ∙ 0 ∙ share

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Proximity Inference with Wifi-Colocation during the COVID-19 Pandemic

In this work we propose a WiFi colocation methodology for digital contac...
09/26/2020 ∙ by Mikhail Dmitrienko, et al. ∙ 0 ∙ share

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Target Privacy Threat Modeling for COVID-19 Exposure Notification Systems

The adoption of digital contact tracing (DCT) technology during the COVI...
09/25/2020 ∙ by Ananya Gangavarapu, et al. ∙ 0 ∙ share

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Bluetooth based Proximity, Multi-hop Analysis and Bi-directional Trust: Epidemics and More

In this paper, we propose a trust layer on top of Bluetooth and similar ...
09/10/2020 ∙ by Ramesh Raskar, et al. ∙ 0 ∙ share

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Proximity Sensing for Contact Tracing

The TC4TL (Too Close For Too Long) challenge is aimed towards designing ...
09/04/2020 ∙ by Sheshank Shankar, et al. ∙ 0 ∙ share

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NoPeek: Information leakage reduction to share activations in distributed deep learning

For distributed machine learning with sensitive data, we demonstrate how...
08/20/2020 ∙ by Praneeth Vepakomma, et al. ∙ 5 ∙ share

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PPContactTracing: A Privacy-Preserving Contact Tracing Protocol for COVID-19 Pandemic

Several contact tracing solutions have been proposed and implemented all...
08/15/2020 ∙ by Priyanka Singh, et al. ∙ 0 ∙ share

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Comparing manual contact tracing and digital contact advice

Manual contact tracing is a top-down solution that starts with contact t...
08/11/2020 ∙ by Ramesh Raskar, et al. ∙ 0 ∙ share

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SplitNN-driven Vertical Partitioning

In this work, we introduce SplitNN-driven Vertical Partitioning, a confi...
08/07/2020 ∙ by Iker Ceballos, et al. ∙ 6 ∙ share

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Splintering with distributions: A stochastic decoy scheme for private computation

Performing computations while maintaining privacy is an important proble...
07/06/2020 ∙ by Praneeth Vepakomma, et al. ∙ 11 ∙ share

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Adding Location and Global Context to the Google/Apple Exposure Notification Bluetooth API

Contact tracing requires a strong understanding of the context of a user...
07/01/2020 ∙ by Ramesh Raskar, et al. ∙ 0 ∙ share

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Adding Location and other Context to the Google/Apple Exposure Notification Bluetooth API

Contact tracing requires a strong understanding of the context of a user...
07/01/2020 ∙ by Ramesh Raskar, et al. ∙ 0 ∙ share

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COVID-19 Contact-Tracing Mobile Apps: Evaluation and Assessment for Decision Makers

A number of groups, from governments to non-profits, have quickly acted ...
06/04/2020 ∙ by Ramesh Raskar, et al. ∙ 0 ∙ share

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Automatic Differentiation for All Photons Imaging to See Inside Volumetric Scattering Media

Imaging through dense scattering media - such as biological tissue, fog,...
06/02/2020 ∙ by Tomohiro Maeda, et al. ∙ 9 ∙ share

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Privacy Guidelines for Contact Tracing Applications

Contact tracing is a very powerful method to implement and enforce socia...
04/28/2020 ∙ by Manish Shukla, et al. ∙ 0 ∙ share

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Privacy in Deep Learning: A Survey

The ever-growing advances of deep learning in many areas including visio...
04/25/2020 ∙ by Fatemehsadat Mirshghallah, et al. ∙ 9 ∙ share

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Assessing Disease Exposure Risk With Location Histories And Protecting Privacy: A Cryptographic Approach In Response To A Global Pandemic

Governments and researchers around the world are implementing digital co...
03/31/2020 ∙ by Alex Berke, et al. ∙ 0 ∙ share

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Apps Gone Rogue: Maintaining Personal Privacy in an Epidemic

Containment, the key strategy in quickly halting an epidemic, requires r...
03/19/2020 ∙ by Ramesh Raskar, et al. ∙ 0 ∙ share

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Split Learning for collaborative deep learning in healthcare

Shortage of labeled data has been holding the surge of deep learning in ...
12/27/2019 ∙ by Maarten G. Poirot, et al. ∙ 9 ∙ share

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Advances and Open Problems in Federated Learning

Federated learning (FL) is a machine learning setting where many clients...
12/10/2019 ∙ by Peter Kairouz, et al. ∙ 33 ∙ share

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Recent Advances in Imaging Around Corners

Seeing around corners, also known as non-line-of-sight (NLOS) imaging is...
10/12/2019 ∙ by Tomohiro Maeda, et al. ∙ 20 ∙ share

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ExpertMatcher: Automating ML Model Selection for Clients using Hidden Representations

Recently, there has been the development of Split Learning, a framework ...
10/09/2019 ∙ by Vivek Sharma, et al. ∙ 12 ∙ share

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ExpertMatcher: Automating ML Model Selection for Users in Resource Constrained Countries

In this work we introduce ExpertMatcher, a method for automating deep le...
10/05/2019 ∙ by Vivek Sharma, et al. ∙ 8 ∙ share

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Maximal adversarial perturbations for obfuscation: Hiding certain attributes while preserving rest

In this paper we investigate the usage of adversarial perturbations for ...
09/27/2019 ∙ by Indu Ilanchezian, et al. ∙ 4 ∙ share

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Detailed comparison of communication efficiency of split learning and federated learning

We compare communication efficiencies of two compelling distributed mach...
09/18/2019 ∙ by Abhishek Singh, et al. ∙ 9 ∙ share

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Data Markets to support AI for All: Pricing, Valuation and Governance

We discuss a data market technique based on intrinsic (relevance and uni...
05/14/2019 ∙ by Ramesh Raskar, et al. ∙ 3 ∙ share

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On Unlimited Sampling and Reconstruction

Shannon's sampling theorem is one of the cornerstone topics that is well...
05/10/2019 ∙ by Ayush Bhandari, et al. ∙ 0 ∙ share

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Light-Field for RF

Most computer vision systems and computational photography systems are v...
01/13/2019 ∙ by Manikanta Kotaru, et al. ∙ 10 ∙ share

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No Peek: A Survey of private distributed deep learning

We survey distributed deep learning models for training or inference wit...
12/08/2018 ∙ by Praneeth Vepakomma, et al. ∙ 0 ∙ share

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A Review of Homomorphic Encryption Libraries for Secure Computation

In this paper we provide a survey of various libraries for homomorphic e...
12/06/2018 ∙ by Sai Sri Sathya, et al. ∙ 0 ∙ share

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Split learning for health: Distributed deep learning without sharing raw patient data

Can health entities collaboratively train deep learning models without s...
12/03/2018 ∙ by Praneeth Vepakomma, et al. ∙ 0 ∙ share

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Addressing the Invisible: Street Address Generation for Developing Countries with Deep Learning

More than half of the world's roads lack adequate street addressing syst...
11/10/2018 ∙ by Ilke Demir, et al. ∙ 0 ∙ share

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3D Traffic Simulation for Autonomous Vehicles in Unity and Python

Over the recent years, there has been an explosion of studies on autonom...
10/30/2018 ∙ by Zhijing Jin, et al. ∙ 24 ∙ share

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Flash Photography for Data-Driven Hidden Scene Recovery

Vehicles, search and rescue personnel, and endoscopes use flash lights t...
10/27/2018 ∙ by Matthew Tancik, et al. ∙ 0 ∙ share

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Distributed learning of deep neural network over multiple agents

In domains such as health care and finance, shortage of labeled data and...
10/14/2018 ∙ by Otkrist Gupta, et al. ∙ 0 ∙ share

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Maximum-Entropy Fine-Grained Classification

Fine-Grained Visual Classification (FGVC) is an important computer visio...
09/16/2018 ∙ by Abhimanyu Dubey, et al. ∙ 6 ∙ share

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DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images

We present the DeepGlobe 2018 Satellite Image Understanding Challenge, w...
05/17/2018 ∙ by Ilke Demir, et al. ∙ 3 ∙ share

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Economic Impact of Discoverability of Localities and Addresses in India

Most of the earth's population has a poorly defined addressing system, t...
02/13/2018 ∙ by Santanu Bhattacharya, et al. ∙ 0 ∙ share

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What is the right addressing scheme for India?

Computer generated addresses are coming to your neighborhood because mos...
01/20/2018 ∙ by Kabir Rustogi, et al. ∙ 0 ∙ share

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Accelerating Neural Architecture Search using Performance Prediction

Methods for neural network hyperparameter optimization and meta-modeling...
05/30/2017 ∙ by Bowen Baker, et al. ∙ 0 ∙ share

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Training with Confusion for Fine-Grained Visual Classification

Research in Fine-Grained Visual Classification has focused on tackling t...
05/22/2017 ∙ by Abhimanyu Dubey, et al. ∙ 0 ∙ share

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Ramesh Raskar

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