Publications
2025
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 McDaniel
Workshop on Privacy in the Electronic Society (WPES), 2024 [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
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 ]
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 ]
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