Publications
[C]-conference, [J]-journal, [P]-poster. The * sign stands for co-first authors (equal contribution). A full list of publications can be found on my Google Scholar page.
2024
[C12] Xingli Zhang, Yazhou Tu, Yan Long, Liqun Shan, Mohamed A Elsaadani, Kevin Fu, Zhiqiang Lin, Xiali Hei
“From Virtual Touch to Tesla Command: Unlocking Unauthenticated Control Chains From Smart Glasses for Vehicle Takeover”
In Proceedings of the 45th Annual IEEE Symposium on Security and Privacy (IEEE S&P). 2024. (Acceptance rate 17.8%)
Distinguished Paper Award (top 3% of accepted papers)
[PDF] [Demo] [Presentation][C11] Nina Shamsi, Kaeshav Chandrasekar, Yan Long, Keith Rebello, Christopher Limbach, Kevin Fu
“WIP: Threat Modeling Laser-Induced Acoustic Interference in Computer Vision-Assisted Vehicles”
In the Symposium on Vehicle Security and Privacy (VehicleSec) 2024. (Acceptance rate 43%)
[PDF][C10] Yan Long, Qinhong Jiang, Chen Yan, Tobias Alam, Xiaoyu Ji, Wenyuan Xu, Kevin Fu
“EM Eye: Characterizing Electromagnetic Side-channel Eavesdropping on Embedded Cameras”
In the Network and Distributed System Security Symposium (NDSS) 2024. (Acceptance rate 20%)
[Website] [PDF] [Code] [Presentation] [Slides][C9] Qinhong Jiang, Yanze Ren, Yan Long, Chen Yan, Yumai Sun, Xiaoyu Ji, Kevin Fu, Wenyuan Xu
“GhostType: The Limits of Using Contactless Electromagnetic Interference to Inject Phantom Keys into Analog Circuits of Keyboards”
In the Network and Distributed System Security Symposium (NDSS) 2024. (Acceptance rate 20%)
[Website] [PDF]
2023
[C8] Connor Bolton*, Yan Long*, Jun Han, Josiah Hester, and Kevin Fu.
“Characterizing and Mitigating Touchtone Eavesdropping in Smartphone Motion Sensors”
In the 26th International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2023). (Acceptance rate 23.5%)
[Paper Link] [PDF][C7] Yan Long, Pirouz Naghavi, Blas Kojusner, Kevin Butler, Sara Rampazzi and Kevin Fu.
“Side Eye: Characterizing the Limits of POV Acoustic Eavesdropping from Smartphone Cameras with Rolling Shutters and Movable Lenses”
In Proceedings of the 44th Annual IEEE Symposium on Security and Privacy (IEEE S&P). 2023. (Acceptance rate 17%)
[Website] [Paper Link] [PDF] [Presentation] [Media][C6] Yan Long, Chen Yan, Shilin Xiao, Shivan Prasad, Wenyuan Xu, and Kevin Fu.
“Private Eye: On the Limits of Textual Screen Peeking via Eyeglass Reflections in Video Conferencing”
In Proceedings of the 44th Annual IEEE Symposium on Security and Privacy (IEEE S&P). 2023. (Acceptance rate 17%)
[Paper Link] [PDF] [Presentation] [Media] [Defense Tool][C5] Benjamin Cyr, Yan Long, Takeshi Sugawara and Kevin Fu.
“Space System Threat Models Must Account for Satellite Sensor Spoofing”
In Workshop on Security of Space and Satellite Systems (SpaceSec) 2023
[Paper Link] [PDF]
2022
- [C4] Yan Long and Kevin Fu.
“Side Auth: Sensor Side Channels Considered Beneficial by Synthesizing Virtual Sensors for Authentication”
In Proceedings of the 2022 ACM/ACSA New Security Paradigms Workshop (NSPW). 2022. (Acceptance rate 38%)
[Paper Link] [PDF]
2021
[C3] Yan Long, Alexander Curtiss, Sara Rampazzi, Josiah Hester, and Kevin Fu.
“VeriMask: Facilitating Decontamination of N95 Masks in the COVID-19 Pandemic: Challenges, Lessons Learned, and Safeguarding the Future”
In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (ACM IMWUT/UbiComp). September 2021. (Impact Factor 4.16, acceptance rate 22%)
ACM GetMobile Research Highlight
[Website] [Paper Link] [PDF] [Code][J1] Yan Long, Sara Rampazzi, Takeshi Sugawara, and Kevin Fu.
“Protecting COVID-19 Vaccine Transportation and Storage from Analog Cybersecurity Threats”
Biomedical Instrumentation & Technology (AAMI BI&T). 2021.
[Paper Link] [PDF]
2020
- [P1] Yan Long, Alexander Curtiss, Sara Rampazzi, Josiah Hester, and Kevin Fu.
“Automating decontamination of N95 masks for frontline workers in COVID-19 pandemic”
In Proceedings of the 18th Conference on Embedded Networked Sensor Systems (SenSys). 2020.
Best COVID-19 Response Poster Runner-up (top 8%)
[Website] [Paper Link]
2019
[C2] Chen Yan*, Yan Long*, Xiaoyu Ji, and Wenyuan Xu.
“The Catcher in the Field: A Fieldprint based Spoofing Detection for Text-Independent Speaker Verification”
In Proceedings of the 2019 ACM Conference on Computer and Communications Security (ACM CCS). 2019. (Acceptance rate 16%)
[Paper Link] [PDF][C1] Wang, Po-Min, Stanislav Culaclii, William Yang, Yan Long, Jonathan Massachi, Yi-Kai Lo, and Wentai Liu.
“A Novel Biomimetic Stimulator System for Neural Implant”
In 2019 9th International IEEE/EMBS Conference on Neural Engineering (IEEE/EMBS NER), 2019
[Paper Link] [PDF]