Publications

2025

• On the Robustness Tradeoff in Fine-Tuning
  Kunyang Li, Jean-Charles Noirot Ferrand, Ryan Sheatsley, Blaine Hoak, Yohan Beugin, Eric Pauley, Patrick McDaniel
  Proceedings of the International Conference on Computer Vision (ICCV), 2025 [arXiv]
• SoK: Advances and Open Problems in Web Tracking
  Yash Vekaria, Yohan Beugin, Shaoor Munir, Gunes Acar, Nataliia Bielova, Steven Englehardt, Umar Iqbal, Alexandros Kapravelos, Pierre Laperdrix, Nick Nikiforakis, Jason Polakis, Franziska Roesner, Zubair Shafiq, Sebastian Zimmeck [arXiv] [code] [long version]
• Efficient Storage Integrity in Adversarial Settings
  Quinn Burke, Ryan Sheatsley, Yohan Beugin, Eric Pauley, Owen Hines, Michael Swift, Patrick McDaniel
  Proceedings of the IEEE Symposium on Security and Privacy (IEEE S&P), 2025 [IEEE S&P] [arXiv]
• Targeting Alignment: Extracting Safety Classifiers of Aligned LLMs
  Jean-Charles Noirot Ferrand, Yohan Beugin, Eric Pauley, Ryan Sheatsley, Patrick McDaniel [arXiv] [code]
• Secure IP Address Allocation at Cloud Scale
  Eric Pauley, Kyle Domico, Blaine Hoak, Ryan Sheatsley, Quinn Burke, Yohan Beugin, Engin Kirda, Patrick McDaniel
  Network and Distributed Systems Security Symposium (NDSS), 2025 [NDSS] [arXiv] [code]

2024

• The 2024 Web Almanac: Cookies
  Yohan Beugin, Sam Dutton, Yana Dimova, Rowan Merewood, Barry Pollard
  The 2024 Web Almanac by HTTP Archive [DOI] [Part IV Chapter 21]
• 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 McDaniel
  Workshop on Privacy in the Electronic Society (WPES), 2024 [WPES] [arXiv]
• The Need for a (Research) Sandstorm through the Privacy Sandbox
  Yohan Beugin, Patrick McDaniel
  17th Workshop on Hot Topics in Privacy Enhancing Technologies (HotPETs 2024) [HotPETS] [website] [Slack invite] [slides]
• A Public and Reproducible Assessment of the Topics API on Real Data
  Yohan Beugin, Patrick McDaniel
  IEEE Security and Privacy Workshops (SPW), 2024 [arXiv] [code] [slides] [poster]
• Interest-disclosing Mechanisms for Advertising are Privacy-Exposing (not Preserving)
  Yohan Beugin, Patrick McDaniel
  Proceedings on Privacy Enhancing Technologies Symposium (PETS), 2024 [PETS] [arXiv] [code] [slides] [poster] Artifact: Reproduced
• Securing Cloud File Systems with Trusted Execution
  Quinn Burke, Yohan Beugin, Blaine Hoak, Rachel King, Eric Pauley, Ryan Sheatsley, Mingli Yu, Ting He, Thomas La Porta, Patrick McDaniel
  IEEE Transactions on Dependable and Secure Computing (TDSC), 2024 [TDSC] [arXiv] [code]

2023

• Systematic Evaluation of Geolocation Privacy Mechanisms
  Alban Héon, Ryan Sheatsley, Quinn Burke, Blaine Hoak, Eric Pauley, Yohan Beugin, Patrick McDaniel [arXiv]
• Characterizing the Modification Space of Signature IDS Rules
  Ryan Guide, Eric Pauley, Yohan Beugin, Ryan Sheatsley, Patrick McDaniel
  Proceedings of the IEEE Conference on Military Communications (MILCOM), 2023 [MILCOM] [arXiv]

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 McDaniel [arXiv]
• Privacy-Preserving Protocols for Smart Camera Systems and Other IoT Devices
  Yohan Beugin
  2022 USENIX Conference on Privacy Engineering Practice and Respect (PEPR) [PEPR] [video] [slides]
• Measuring and Mitigating the Risk of IP Reuse on Public Clouds
  Eric Pauley, Ryan Sheatsley, Blaine Hoak, Quinn Burke, Yohan Beugin, Patrick McDaniel
  Proceedings of the IEEE Symposium on Security and Privacy (IEEE S&P), 2022 [IEEE S&P] [arXiv] [+infos]
• A Machine Learning and Computer Vision Approach to Geomagnetic Storm Forecasting
  Kyle Domico, Ryan Sheatsley, Yohan Beugin, Quinn Burke, Patrick McDaniel
  Poster presented at Machine Learning in Heliophysics (ML-Helio), 2022 [arXiv] [Poster]
• Building a Privacy-Preserving Smart Camera System
  Yohan Beugin, Quinn Burke, Blaine Hoak, Ryan Sheatsley, Eric Pauley, Gang Tan, Syed Rafiul Hussain, Patrick McDaniel
  Proceedings on Privacy Enhancing Technologies Symposium (PETS), 2022 [PETS] [arXiv] [code] [video] [slides]

2021

• HoneyModels: Machine Learning Honeypots
  Ahmed Abdou, Ryan Sheatsley, Yohan Beugin, Tyler Shipp, Patrick McDaniel
  Proceedings of the IEEE Conference on Military Communications (MILCOM), 2021 [MILCOM] [arXiv]
• On the Robustness of Domain Constraints
  Ryan Sheatsley, Blaine Hoak, Eric Pauley, Yohan Beugin, Michael Weisman, Patrick McDaniel
  Proceedings of the ACM Conference on Computer and Communications Security (CCS), 2021 [CCS] [arXiv]
• Building a Secure and Privacy-Preserving Smart Camera System
  Yohan Beugin, Gang Tan, Syed Rafiul Hussain, Patrick McDaniel
  Master Thesis, Defended Spring 2021 [M.S. Thesis]

2020

• ReViVD: Exploration and Filtering of Trajectories in an Immersive Environment using 3D Shapes
  François Homps, Yohan Beugin, Romain Vuillemot
  Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2020 [IEEE VR] [arXiv] [code]