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09/11/2023
Towards Viewpoint Robustness in Bird's Eye View Segmentation
Autonomous vehicles (AV) require that neural networks used for perceptio...
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05/28/2023
Conformal Prediction with Large Language Models for Multi-Choice Question Answering
As large language models continue to be widely developed, robust uncerta...
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05/27/2023
Federated Conformal Predictors for Distributed Uncertainty Quantification
Conformal prediction is emerging as a popular paradigm for providing rig...
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04/07/2023
Domain Generalization In Robust Invariant Representation
Unsupervised approaches for learning representations invariant to common...
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04/03/2023
Role of Transients in Two-Bounce Non-Line-of-Sight Imaging
The goal of non-line-of-sight (NLOS) imaging is to image objects occlude...
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12/08/2022
ORCa: Glossy Objects as Radiance Field Cameras
Reflections on glossy objects contain valuable and hidden information ab...
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10/28/2022
Differentially Private CutMix for Split Learning with Vision Transformer
Recently, vision transformer (ViT) has started to outpace the convention...
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09/07/2022
Detection and Mapping of Specular Surfaces Using Multibounce Lidar Returns
We propose methods that use specular, multibounce lidar returns to detec...
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08/25/2022
Fundamentals of Task-Agnostic Data Valuation
We study valuing the data of a data owner/seller for a data seeker/buyer...
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07/20/2022
Differentiable Agent-based Epidemiology
Mechanistic simulators are an indispensable tool for epidemiology to exp...
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07/08/2022
Private independence testing across two parties
We introduce π-test, a privacy-preserving algorithm for testing statisti...
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07/01/2022
Visual Transformer Meets CutMix for Improved Accuracy, Communication Efficiency, and Data Privacy in Split Learning
This article seeks for a distributed learning solution for the visual tr...
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06/17/2022
A Roadmap for Greater Public Use of Privacy-Sensitive Government Data: Workshop Report
Government agencies collect and manage a wide range of ever-growing data...
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04/21/2022
Physics vs. Learned Priors: Rethinking Camera and Algorithm Design for Task-Specific Imaging
Cameras were originally designed using physics-based heuristics to captu...
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04/11/2022
Physically Disentangled Representations
State-of-the-art methods in generative representation learning yield sem...
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03/29/2022
Towards Learning Neural Representations from Shadows
We present a method that learns neural scene representations from only s...
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01/25/2022
The Privacy-Welfare Trade-off: Effects of Differential Privacy on Influence Welfare in Social Choice
This work studies a fundamental trade-off between privacy and welfare in...
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12/11/2021
Server-Side Local Gradient Averaging and Learning Rate Acceleration for Scalable Split Learning
In recent years, there have been great advances in the field of decentra...
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10/19/2021
Private measurement of nonlinear correlations between data hosted across multiple parties
We introduce a differentially private method to measure nonlinear correl...
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10/09/2021
DeepABM: Scalable, efficient and differentiable agent-based simulations via graph neural networks
We introduce DeepABM, a framework for agent-based modeling that leverage...
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08/19/2021
Parallel Quasi-concave set optimization: A new frontier that scales without needing submodularity
Classes of set functions along with a choice of ground set are a bedrock...
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05/21/2021
Automatic calibration of time of flight based non-line-of-sight reconstruction
Time of flight based Non-line-of-sight (NLOS) imaging approaches require...
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05/02/2021
AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning
Wireless channels can be inherently privacy-preserving by distorting the...
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03/01/2021
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...
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02/22/2021
Differentially Private Supervised Manifold Learning with Applications like Private Image Retrieval
Differential Privacy offers strong guarantees such as immutable privacy ...
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01/20/2021
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...
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01/05/2021
COVID-19 Tests Gone Rogue: Privacy, Efficacy,Mismanagement and Misunderstandings
COVID-19 testing, the cornerstone for effective screening and identifica...
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01/04/2021
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...
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12/21/2020
COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms
The COVID-19 pandemic has challenged scientists and policy-makers intern...
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12/20/2020
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks
Recent deep learning models have shown remarkable performance in image c...
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12/04/2020
Verifiable Proof of Health using Public Key Cryptography
In the current pandemic, testing continues to be the most important tool...
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12/03/2020
Digital Landscape of COVID-19 Testing: Challenges and Opportunities
The COVID-19 Pandemic has left a devastating trail all over the world, i...
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09/26/2020
Proximity Inference with Wifi-Colocation during the COVID-19 Pandemic
In this work we propose a WiFi colocation methodology for digital contac...
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09/25/2020
Target Privacy Threat Modeling for COVID-19 Exposure Notification Systems
The adoption of digital contact tracing (DCT) technology during the COVI...
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09/10/2020
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 ...
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09/04/2020
Proximity Sensing for Contact Tracing
The TC4TL (Too Close For Too Long) challenge is aimed towards designing ...
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08/20/2020
NoPeek: Information leakage reduction to share activations in distributed deep learning
For distributed machine learning with sensitive data, we demonstrate how...
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08/15/2020
PPContactTracing: A Privacy-Preserving Contact Tracing Protocol for COVID-19 Pandemic
Several contact tracing solutions have been proposed and implemented all...
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08/11/2020
Comparing manual contact tracing and digital contact advice
Manual contact tracing is a top-down solution that starts with contact t...
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08/07/2020
SplitNN-driven Vertical Partitioning
In this work, we introduce SplitNN-driven Vertical Partitioning, a confi...
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07/06/2020
Splintering with distributions: A stochastic decoy scheme for private computation
Performing computations while maintaining privacy is an important proble...
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07/01/2020
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...
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07/01/2020
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...
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06/04/2020
COVID-19 Contact-Tracing Mobile Apps: Evaluation and Assessment for Decision Makers
A number of groups, from governments to non-profits, have quickly acted ...
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06/02/2020
Automatic Differentiation for All Photons Imaging to See Inside Volumetric Scattering Media
Imaging through dense scattering media - such as biological tissue, fog,...
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04/28/2020
Privacy Guidelines for Contact Tracing Applications
Contact tracing is a very powerful method to implement and enforce socia...
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04/25/2020
Privacy in Deep Learning: A Survey
The ever-growing advances of deep learning in many areas including visio...
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03/31/2020
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...
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03/19/2020
Apps Gone Rogue: Maintaining Personal Privacy in an Epidemic
Containment, the key strategy in quickly halting an epidemic, requires r...
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12/27/2019