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09/17/2023
OSmosis: No more Déjà vu in OS isolation
Operating systems provide an abstraction layer between the hardware and ...
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06/19/2023
CAT-Walk: Inductive Hypergraph Learning via Set Walks
Temporal hypergraphs provide a powerful paradigm for modeling time-depen...
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03/28/2023
Understanding and Exploring the Whole Set of Good Sparse Generalized Additive Models
In real applications, interaction between machine learning model and dom...
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11/15/2022
Anomaly Detection in Multiplex Dynamic Networks: from Blockchain Security to Brain Disease Prediction
The problem of identifying anomalies in dynamic networks is a fundamenta...
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10/13/2022
Fast Optimization of Weighted Sparse Decision Trees for use in Optimal Treatment Regimes and Optimal Policy Design
Sparse decision trees are one of the most common forms of interpretable ...
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10/12/2022
FasterRisk: Fast and Accurate Interpretable Risk Scores
Over the last century, risk scores have been the most popular form of pr...
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09/19/2022
TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization
Given thousands of equally accurate machine learning (ML) models, how ca...
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09/16/2022
Exploring the Whole Rashomon Set of Sparse Decision Trees
In any given machine learning problem, there may be many models that cou...
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02/23/2022
Fast Sparse Classification for Generalized Linear and Additive Models
We present fast classification techniques for sparse generalized linear ...
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01/12/2022
Gridiron: A Technique for Augmenting Cloud Workloads with Network Bandwidth Requirements
Cloud applications use more than just server resources, they also requir...
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12/01/2021
How Smart Guessing Strategies Can Yield Massive Scalability Improvements for Sparse Decision Tree Optimization
Sparse decision tree optimization has been one of the most fundamental p...
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08/26/2020
SIGL: Securing Software Installations Through Deep Graph Learning
Many users implicitly assume that software can only be exploited after i...
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06/19/2020
The EuroSys 2020 Online Conference: Experience and lessons learned
The 15th European Conference on Computer Systems (EuroSys'20) was organi...
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06/15/2020
Generalized Optimal Sparse Decision Trees
Decision tree optimization is notoriously difficult from a computational...
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06/09/2020
Parking Packet Payload with P4
Network Function (NF) deployments suffer from poor link goodput, because...
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05/10/2020
Xanthus: Push-button Orchestration of Host Provenance Data Collection
Host-based anomaly detectors generate alarms by inspecting audit logs fo...
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01/06/2020
UNICORN: Runtime Provenance-Based Detector for Advanced Persistent Threats
Advanced Persistent Threats (APTs) are difficult to detect due to their ...
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09/24/2019
ProvMark: A Provenance Expressiveness Benchmarking System
System level provenance is of widespread interest for applications such ...
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07/31/2019
Aquarium Technical Report Preprint
In this technical report, we present the core calculi for two of the dom...
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04/29/2019
Optimal Sparse Decision Trees
Decision tree algorithms have been among the most popular algorithms for...
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08/18/2018
Runtime Analysis of Whole-System Provenance
Identifying the root cause and impact of a system intrusion remains a fo...
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07/29/2018
Automatic Parallelization of Sequential Programs
Prior work on Automatically Scalable Computation (ASC) suggests that it ...
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06/04/2018
Provenance-based Intrusion Detection: Opportunities and Challenges
Intrusion detection is an arms race; attackers evade intrusion detection...
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03/09/2018
Persistent Memory Transactions
This paper presents a comprehensive analysis of performance trade offs b...
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11/30/2017
FRAPpuccino: Fault-detection through Runtime Analysis of Provenance
We present FRAPpuccino (or FRAP), a provenance-based fault detection mec...
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11/14/2017
Practical Whole-System Provenance Capture
Data provenance describes how data came to be in its present form. It in...
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04/06/2017
Learning Certifiably Optimal Rule Lists for Categorical Data
We present the design and implementation of a custom discrete optimizati...
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02/27/2016
Scalable Bayesian Rule Lists
We present an algorithm for building probabilistic rule lists that is tw...
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03/28/2014