Carnegie Mellon University

Cylab logo next to similar text which reads: "FUTURE ENTERPRISE SECURITY"

March 13, 2023

First round of Future Enterprise Security Initiative funded projects announced

CyLab’s Future Enterprise Security Initiative is underway as the first round of funded proposals has been announced. The thirteen projects were presented at Carnegie Mellon University during the FutureEnterprise@CyLab Year One Kick-off Meeting on October 27, 2022.

Each project falls under one of the four FutureEnterprise@CyLab key research thrusts:

  • AI-driven workflows to automate security analysis and response
  • Collaborative capabilities for real-time global visibility for security decision making
  • Foundations for understanding cyber risk
  • Least-privilege-by-design infrastructure

Funding for the projects is made possible by sponsorships from Amazon Web ServicesAryaka NetworksBoschCiscoMicrosoftNokia Bell LabsPNC, and VMware. Sponsors actively worked with FutureEnterprise@CyLab Co-Directors Lujo Bauer and Vyas Sekar  on proposal requests and reviews.

During the execution of these projects, faculty will collaborate with FutureEnterprise@CyLab sponsors to develop a suite of novel foundations and technologies, re-imagining ways to achieve security in small- and medium-sized enterprise systems.

“The Future Enterprise Security Initiative brings together a collective of industry leaders who are aligned with our mission and believe these are important problems to solve,” says Sekar. 

“Our partners are really engaged. They understand where problems lie and are willing to take the time to help us generate ideas, evaluate proposals, and offer suggestions as to how each project can become even more relevant to the core mission,” says Bauer.

 Funded projects:

Correlated Multi-armed Bandit Algorithms for Automating Security Checks and Response
PI: Osman Yagan - Research Professor, Electrical and Computer Engineering (ECE)

Zero Trust: Virtues, Limitations, and Beyond
PI: Virgil Gligor - Professor, ECE

Verifiable Personalization for Federated Learning
PI: Corina Pasareanu - Principal Systems Scientist, CyLab
Co-PI: Ravi Mangal - Postdoctoral Researcher, CyLab

Evaluating Graph-Based Anomaly Detection Models on Private Dat
Co-PI: Giulia Fanti - Assistant Professor, ECE
Co-PI: Nihar Shah - Assistant Professor, Machine Learning Department (MLD) and Computer Science Department (CSD)

Adversarial Unlearning via Sybil Attacks: Impacts on Federated Learning and Enterprise Securit
PI: Carlee Joe-Wong - Associate Professor, ECE

Understanding code injection attacks in Node.js package
PI: Ruben Martins - Assistant Research Professor, CSD
Co-PI: Limin Jia - Research Professor, ECE

Automatic Testing Web-based Microservice
PI: Limin Jia - Research Professor, ECE|
Co-PI: Fraser Brown - Assistant Professor, Software and Societal Systems Department (S3D) 

Verus: Developing Provably Secure and Performant Softwar
PI: Bryan Parno - Associate Professor, CSD and ECE

ODO: Open Dependency Observatory for Software Dependencie
PI: Rohan Padhye - Assistant Professor, S3D
Co-PI: Yuvraj Agarwal - Associate Professor, S3D

Designing Robust Protocols for Future Enterprise System
PI: Eunsuk Kang - Assistant Professor, S3D
Co-PI: Romulo Meira-Goes - Postdoctoral Researcher, S3D

CyDec: Cyber Deception Gy
PI: Fei Fang - Assistant Professor, S3D

Differentially Private Synthetic Data Generatio
PI: Steven Wu - Assistant Professor, S3D

From Fault Injection Testing to Malicious Code Injection Testin
PI: Heather Miller - Assistant Professor, S3D