Publications

• Interest-disclosing Mechanisms for Advertising are Privacy-Exposing (not Preserving)
  Yohan Beugin, Patrick McDaniel
  Proceedings of the Privacy Enhancing Technologies Symposium (PETS), 2024 [arXiv] [code] [poster]
• 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 [to appear]
• 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 McDaniel [arXiv]
• EIPSIM: Modeling Secure IP Address Allocation at Cloud Scale
  Eric Pauley, Kyle Domico, Blaine Hoak, Ryan Sheatsley, Quinn Burke, Yohan Beugin, Patrick McDaniel [arXiv]
• 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 22][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 [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]
• 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 of the Privacy Enhancing Technologies Symposium (PETS), 2022 [arXiv][code][video][slides]
• HoneyModels: Machine Learning Honeypots
  Ahmed Abdou, Ryan Sheatsley, Yohan Beugin, Tyler Shipp, Patrick McDaniel
  Proceedings of the IEEE Conference on Military Communications (MILCOM), 2021 [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 [arXiv]
• Building a Secure and Privacy-Preserving Smart Camera System
  Yohan Beugin, Gang Tan, Syed Rafiul Hussain, Patrick McDaniel
  Master Thesis, Defended Spring 2021 [pdf]
• 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 [arXiv][code]