Detection under Privileged Information. - Z. Berkay Celik; Patrick D. McDaniel; Rauf Izmailov; Nicolas Papernot; Ryan Sheatsley; Raquel Alvarez; Ananthram Swami (AsiaCCS, 2018)

Network Traffic Obfuscation: An Adversarial Machine Learning Approach. - Gunjan Verma; Ertugrul N. Ciftcioglu; Ryan Sheatsley; Kevin S. Chan; Lisa Scott (MILCOM, 2018)

Curie: Policy-based Secure Data Exchange. - Z. Berkay Celik; Abbas Acar; Hidayet Aksu; Ryan Sheatsley; Patrick D. McDaniel; A. Selcuk Uluagac (CODASPY, 2019)

Application Transiency: Towards a Fair Trade of Personal Information for Application Services. - Raquel Alvarez; Jake Levenson; Ryan Sheatsley; Patrick D. McDaniel (SecureComm (2), 2019)

Adversarial Examples in Constrained Domains. - Ryan Sheatsley; Nicolas Papernot; Michael J. Weisman; Gunjan Verma; Patrick D. McDaniel (CoRR, 2020)

On the Robustness of Domain Constraints. - Ryan Sheatsley; Blaine Hoak; Eric Pauley; Yohan Beugin; Michael J. Weisman; Patrick D. McDaniel (CCS, 2021)

HoneyModels: Machine Learning Honeypots. - Ahmed Abdou; Ryan Sheatsley; Yohan Beugin; Tyler J. Shipp; Patrick D. McDaniel (MILCOM, 2021)

Measuring and Mitigating the Risk of IP Reuse on Public Clouds. - Eric Pauley; Ryan Sheatsley; Blaine Hoak; Quinn Burke 002; Yohan Beugin; Patrick D. McDaniel (SP, 2022)

Improving Radioactive Material Localization by Leveraging Cyber-Security Model Optimizations. - Ryan Sheatsley; Matthew Durbin; Azaree Lintereur; 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)

A Machine Learning and Computer Vision Approach to Geomagnetic Storm Forecasting. - Kyle Domico; Ryan Sheatsley; Yohan Beugin; Quinn Burke 002; 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)

Privacy-Preserving Protocols for Smart Cameras and Other IoT Devices. - Yohan Beugin; Quinn Burke 002; Blaine Hoak; Ryan Sheatsley; Eric Pauley; Gang Tan; Syed Rafiul Hussain; Patrick D. McDaniel (CoRR, 2022)

EIPSIM: Modeling Secure IP Address Allocation at Cloud Scale. - Eric Pauley; Kyle Domico; Blaine Hoak; Ryan Sheatsley; Quinn Burke 002; Yohan Beugin; Patrick D. McDaniel (CoRR, 2022)

Adversarial examples for network intrusion detection systems. - Ryan Sheatsley; Nicolas Papernot; Michael J. Weisman; Gunjan Verma; Patrick D. McDaniel (J. Comput. Secur., 2022)

Building a Privacy-Preserving Smart Camera System. - Yohan Beugin; Quinn Burke 002; Blaine Hoak; Ryan Sheatsley; Eric Pauley; Gang Tan; Syed Rafiul Hussain; Patrick D. McDaniel (Proc. Priv. Enhancing Technol., 2022)

Characterizing the Modification Space of Signature IDS Rules. - Ryan Guide; Eric Pauley; Yohan Beugin; Ryan Sheatsley; Patrick D. McDaniel (MILCOM, 2023)

The Space of Adversarial Strategies. - Ryan Sheatsley; Blaine Hoak; Eric Pauley; Patrick D. McDaniel (USENIX Security Symposium, 2023)

Securing Cloud File Systems using Shielded Execution. - Quinn Burke 002; Yohan Beugin; Blaine Hoak; Rachel King; Eric Pauley; Ryan Sheatsley; Mingli Yu; Ting He 001; Thomas La Porta; Patrick D. McDaniel (CoRR, 2023)

Systematic Evaluation of Geolocation Privacy Mechanisms. - Alban Héon; Ryan Sheatsley; Quinn Burke 002; Blaine Hoak; Eric Pauley; Yohan Beugin; Patrick D. McDaniel (CoRR, 2023)

ParTEETor: A System for Partial Deployments of TEEs within Tor. - Rachel King; Quinn Burke 002; Yohan Beugin; Blaine Hoak; Kunyang Li 001; Eric Pauley; Ryan Sheatsley; Patrick D. McDaniel (WPES@CCS, 2024)

Cloud Storage Integrity at Scale: A Case for Dynamic Hash Trees. - Quinn Burke 002; Ryan Sheatsley; Rachel King; Michael Swift; Patrick D. McDaniel (CoRR, 2024)

On Scalable Integrity Checking for Secure Cloud Disks. - Quinn Burke 002; Ryan Sheatsley; Rachel King; Owen Hines; Michael Swift; Patrick D. McDaniel (FAST, 2025)

Secure IP Address Allocation at Cloud Scale. - Eric Pauley; Kyle Domico; Blaine Hoak; Ryan Sheatsley; Quinn Burke 002; Yohan Beugin; Engin Kirda; Patrick D. McDaniel (NDSS, 2025)

Err on the Side of Texture: Texture Bias on Real Data. - Blaine Hoak; Ryan Sheatsley; Patrick D. McDaniel (SaTML, 2025)

Efficient Storage Integrity in Adversarial Settings. - Quinn Burke 002; Ryan Sheatsley; Yohan Beugin; Eric Pauley; Owen Hines; Michael Swift; Patrick D. McDaniel (SP, 2025)

Securing Cloud File Systems With Trusted Execution. - Quinn Burke 002; Yohan Beugin; Blaine Hoak; Rachel King; Eric Pauley; Ryan Sheatsley; Mingli Yu; Ting He 001; Thomas F. La Porta; Patrick D. McDaniel (IEEE Trans. Dependable Secur. Comput., 2025)

Targeting Alignment: Extracting Safety Classifiers of Aligned LLMs. - Jean-Charles Noirot Ferrand; Yohan Beugin; Eric Pauley; Ryan Sheatsley; Patrick D. McDaniel (CoRR, 2025)

Adversarial Agents: Black-Box Evasion Attacks with Reinforcement Learning. - Kyle Domico; Jean-Charles Noirot Ferrand; Ryan Sheatsley; Eric Pauley; Josiah Hanna; Patrick D. McDaniel (CoRR, 2025)

On the Robustness Tradeoff in Fine-Tuning. - Kunyang Li 001; Jean-Charles Noirot Ferrand; Ryan Sheatsley; Blaine Hoak; Yohan Beugin; Eric Pauley; Patrick D. McDaniel (CoRR, 2025)