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Towards a More Secure, Private Smart Home By Eliminating the Central Hub
Venue: 2024 IEEE MIT Undergraduate Research Technology Conference (URTC), 2024
We propose a virtual smart home hub that replaces centralized cloud control and physical hubs, which pose privacy and reliability risks. Our system uses secure multiparty computation to let users define smart home automation without exposing device data or relying on a single point of failure.
Amigo: Secure Group Mesh Messaging in Realistic Protest Scenarios
Venue: Cryptology ePrint Archive, 2024
Protesters can now stay connected even when the internet is shut down, thanks to Amigo, a clever mesh messaging system that keeps chats secure and anonymous in chaotic, protest-like conditions. Unlike older systems, Amigo handles the messy, real-world challenges of unreliable connections and large groups with smart routing and continuous key agreement.
Engaging Students from Under-Represented Groups to Pursue Graduate School in Computer Science and Engineering
Venue: SIGCSE Technical Symposium, 2025
To address the lack of diversity in Computer Science and Engineering (CS&E), we held a one-day workshop at a Hispanic-Serving Institution, featuring research presentations, hands-on demos, and discussions with graduate students. The event successfully increased participant interest in graduate studies, with survey results showing significant boosts in enthusiasm for CS&E research and graduate education, highlighting the potential of such events to broaden diversity in the field.
Accepted Talk: Mesh Messaging for Large-Scale Protests: Cryptography Alone Won’t Save Us
Venue: Real World Crypto, 2025
At this conference, we presented Amigo, a secure group messaging application for the blackout-protest setting. We show that even with efficient cryptography, the mesh messaging community still has a ways to go in providing suitable application for the large-scale protest environment.
Sok: Security in the Inaudible World
Venue: ACM WiSec, 2025
Ultrasound and near-ultrasound communications are rising as low-overhead data transfer methods, yet their security risks remain largely overlooked. We present the first systematization of these technologies, revealing critical vulnerabilities and proposing a unified threat model to guide future protections.