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Abhishek Singh

Graduate Student
Contact Information:
Groups
Project Research

Decentralized AI

As AI evolves beyond screen assistants and into dimensional applications, decentralization emerges as the critical factor for unlocking i…
Project Research

Posthoc Privacy guarantees for neural network queries

Cloud based machine learning inference is an emerging paradigm where users query with their data to a service provider who runs a ML model …
Project Research

Computational Privacy for Computer Vision

Computer Vision applications are making a remarkable impact on society and advancing progress in Machine Learning. Our project aims to desi…
Project Research

Private Machine Learning on Point Clouds

Point clouds are an increasingly ubiquitous input modality and the raw signal can be efficiently processed with recent progress in deep lea…
Project Research

Benchmarking Privacy in Machine Learning Prediction

We tackle the question of how to benchmark reconstruction of inputs from deep neural networks representations. This inverse problem is of g…
Project Research

Synthesizing data privately for Machine Learning

We propose sanitizer, a framework for secure and task-agnostic data release. While releasing datasets continues to make a big impact in var…
Project Research

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

Recent deep learning models have shown remarkable performance in image classification. While these deep learning systems are getting closer…
Project Research

FedML: A Research Library and Benchmark for Federated Machine Learning

In this work, we introduce FedML, an open research library and benchmark that facilitates the development of new 'federated learning algori…