research
∙
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...
share
research
∙
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...
research
∙
02/21/2022
Transformer Quality in Linear Time
We revisit the design choices in Transformers, and propose methods to ad...
research
∙
12/12/2021
Sinan: Data Driven Resource Management for Cloud Microservices
Cloud applications are increasingly shifting to interactive and loosely-...
research
∙
09/29/2021
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining
Neural network robustness has become a central topic in machine learning...
research
∙
05/27/2021
Sinan: Data-Driven, QoS-Aware Cluster Management for Microservices
Cloud applications are increasingly shifting from large monolithic servi...
research
∙
11/17/2020
Contrastive Weight Regularization for Large Minibatch SGD
The minibatch stochastic gradient descent method (SGD) is widely applied...
research
∙
08/26/2020
GuardNN: Secure DNN Accelerator for Privacy-Preserving Deep Learning
This paper proposes GuardNN, a secure deep neural network (DNN) accelera...
research
∙
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...
research
∙
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...
research
∙
05/29/2018