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09/09/2023
Approximating ReLU on a Reduced Ring for Efficient MPC-based Private Inference
Secure multi-party computation (MPC) allows users to offload machine lea...
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06/05/2023
Information Flow Control in Machine Learning through Modular Model Architecture
In today's machine learning (ML) models, any part of the training data c...
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05/06/2023
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information
Privacy-preserving instance encoding aims to encode raw data as feature ...
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12/12/2022
Data Leakage via Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems
Online personalized recommendation services are generally hosted in the ...
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12/02/2022
DisaggRec: Architecting Disaggregated Systems for Large-Scale Personalized Recommendation
Deep learning-based personalized recommendation systems are widely used ...
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10/18/2022
STAMP: Lightweight TEE-Assisted MPC for Efficient Privacy-Preserving Machine Learning
In this paper, we propose STAMP, an end-to-end 3-party MPC protocol for ...
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09/12/2022
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning using Independent Component Analysis
Federated learning (FL) aims to perform privacy-preserving machine learn...
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05/05/2022
Accelerating Path Planning for Autonomous Driving with Hardware-Assisted Memoization
Path planning for autonomous driving with dynamic obstacles poses a chal...
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03/24/2022
Verifiable Access Control for Augmented Reality Localization and Mapping
Localization and mapping is a key technology for bridging the virtual an...
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03/04/2022
Structured Pruning is All You Need for Pruning CNNs at Initialization
Pruning is a popular technique for reducing the model size and computati...
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09/29/2021
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining
Neural network robustness has become a central topic in machine learning...
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05/26/2021
Wireless Charging Power Side-Channel Attacks
This paper shows that today's wireless charging interface is vulnerable ...
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09/14/2020
The Cost of Software-Based Memory Management Without Virtual Memory
Virtual memory has been a standard hardware feature for more than three ...
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08/26/2020
GuardNN: Secure DNN Accelerator for Privacy-Preserving Deep Learning
This paper proposes GuardNN, a secure deep neural network (DNN) accelera...
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05/12/2020
Strong Asymptotic Composition Theorems for Sibson Mutual Information
We characterize the growth of the Sibson mutual information, of any orde...
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04/20/2020
MgX: Near-Zero Overhead Memory Protection with an Application to Secure DNN Acceleration
In this paper, we propose MgX, a near-zero overhead memory protection sc...
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04/17/2020
A Case for Maximal Leakage as a Side Channel Leakage Metric
Side channels represent a broad class of security vulnerabilities that h...
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02/17/2020
Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations
We propose precision gating (PG), an end-to-end trainable dynamic dual-p...
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05/29/2018