Ryan Sheatsley

According to our database, Ryan Sheatsley authored at least 22 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Cloud Storage Integrity at Scale: A Case for Dynamic Hash Trees.

Quinn Burke, Ryan Sheatsley, Rachel King, Michael Swift, Patrick D. McDaniel

CoRR, 2024

ParTEETor: A System for Partial Deployments of TEEs within Tor.

Rachel King, Quinn Burke, Yohan Beugin, Blaine Hoak, Kunyang Li, Eric Pauley, Ryan Sheatsley, Patrick D. McDaniel

Proceedings of the 23rd Workshop on Privacy in the Electronic Society, 2024

2023

Systematic Evaluation of Geolocation Privacy Mechanisms.

Alban Héon, Ryan Sheatsley, Quinn Burke, Blaine Hoak, Eric Pauley, Yohan Beugin, Patrick D. McDaniel

CoRR, 2023

Securing Cloud File Systems using Shielded Execution.

Quinn Burke, Yohan Beugin, Blaine Hoak, Rachel King, Eric Pauley, Ryan Sheatsley, Mingli Yu, Ting He, Thomas La Porta, Patrick D. McDaniel

CoRR, 2023

The Space of Adversarial Strategies.

Ryan Sheatsley, Blaine Hoak, Eric Pauley, Patrick D. McDaniel

Proceedings of the 32nd USENIX Security Symposium, 2023

Characterizing the Modification Space of Signature IDS Rules.

Ryan Guide, Eric Pauley, Yohan Beugin, Ryan Sheatsley, Patrick D. McDaniel

Proceedings of the IEEE Military Communications Conference, 2023

2022

Building a Privacy-Preserving Smart Camera System.

Yohan Beugin, Quinn Burke, Blaine Hoak, Ryan Sheatsley, Eric Pauley, Gang Tan, Syed Rafiul Hussain, Patrick D. McDaniel

Proc. Priv. Enhancing Technol., 2022

Adversarial examples for network intrusion detection systems.

Ryan Sheatsley, Nicolas Papernot, Michael J. Weisman, Gunjan Verma, Patrick D. McDaniel

J. Comput. Secur., 2022

EIPSIM: Modeling Secure IP Address Allocation at Cloud Scale.

Eric Pauley, Kyle Domico, Blaine Hoak, Ryan Sheatsley, Quinn Burke, Yohan Beugin, Patrick D. McDaniel

CoRR, 2022

Privacy-Preserving Protocols for Smart Cameras and Other IoT Devices.

Yohan Beugin, Quinn Burke, Blaine Hoak, Ryan Sheatsley, Eric Pauley, Gang Tan, Syed Rafiul Hussain, Patrick D. McDaniel

CoRR, 2022

Adversarial Plannning.

Valentin Vie, Ryan Sheatsley, Sophia Beyda, Sushrut Shringarputale, Kevin S. Chan, Trent Jaeger, Patrick D. McDaniel

CoRR, 2022

A Machine Learning and Computer Vision Approach to Geomagnetic Storm Forecasting.

Kyle Domico, Ryan Sheatsley, Yohan Beugin, Quinn Burke, Patrick D. McDaniel

CoRR, 2022

Generating Practical Adversarial Network Traffic Flows Using NIDSGAN.

Bolor-Erdene Zolbayar, Ryan Sheatsley, Patrick D. McDaniel, Michael J. Weisman, Sencun Zhu, Shitong Zhu, Srikanth V. Krishnamurthy

CoRR, 2022

Improving Radioactive Material Localization by Leveraging Cyber-Security Model Optimizations.

Ryan Sheatsley, Matthew Durbin, Azaree Lintereur, Patrick D. McDaniel

CoRR, 2022

Measuring and Mitigating the Risk of IP Reuse on Public Clouds.

Eric Pauley, Ryan Sheatsley, Blaine Hoak, Quinn Burke, Yohan Beugin, Patrick D. McDaniel

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

2021

HoneyModels: Machine Learning Honeypots.

Ahmed Abdou, Ryan Sheatsley, Yohan Beugin, Tyler J. Shipp, Patrick D. McDaniel

Proceedings of the 2021 IEEE Military Communications Conference, 2021

On the Robustness of Domain Constraints.

Ryan Sheatsley, Blaine Hoak, Eric Pauley, Yohan Beugin, Michael J. Weisman, Patrick D. McDaniel

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020

Adversarial Examples in Constrained Domains.

Ryan Sheatsley, Nicolas Papernot, Michael J. Weisman, Gunjan Verma, Patrick D. McDaniel

CoRR, 2020

2019

Application Transiency: Towards a Fair Trade of Personal Information for Application Services.

Raquel Alvarez, Jake Levenson, Ryan Sheatsley, Patrick D. McDaniel

Proceedings of the Security and Privacy in Communication Networks, 2019

Curie: Policy-based Secure Data Exchange.

Z. Berkay Celik, Abbas Acar, Hidayet Aksu, Ryan Sheatsley, Patrick D. McDaniel, A. Selcuk Uluagac

Proceedings of the Ninth ACM Conference on Data and Application Security and Privacy, 2019

2018

Network Traffic Obfuscation: An Adversarial Machine Learning Approach.

Gunjan Verma, Ertugrul N. Ciftcioglu, Ryan Sheatsley, Kevin S. Chan, Lisa Scott

Proceedings of the 2018 IEEE Military Communications Conference, 2018

Detection under Privileged Information.

Z. Berkay Celik, Patrick D. McDaniel, Rauf Izmailov, Nicolas Papernot, Ryan Sheatsley, Raquel Alvarez, Ananthram Swami

Proceedings of the 2018 on Asia Conference on Computer and Communications Security, 2018