Paper-Conference

SHAP@ k: Efficient and Probably Approximately Correct (PAC) Identification of Top-k Features

Jan 1, 2024

Information flow control in machine learning through modular model architecture

Jan 1, 2024

Exploit: Extracting private labels in split learning

Jan 1, 2023

Cocktail party attack: Breaking aggregation-based privacy in federated learning using independent component analysis

Jan 1, 2023

Protecting dnns from theft using an ensemble of diverse models

Jan 1, 2021

Maze: Data-free model stealing attack using zeroth-order gradient estimation

Jan 1, 2021

Bespoke cache enclaves: Fine-grained and scalable isolation from cache side-channels via flexible set-partitioning

Jan 1, 2021

Defending against model stealing attacks with adaptive misinformation

Jan 1, 2020

Reducing the impact of phase-change memory conductance drift on the inference of large-scale hardware neural networks

Jan 1, 2019

Enabling transparent memory-compression for commodity memory systems

Jan 1, 2019