RoFL: Robustness of Secure Federated Learning.

IEEE Security and Privacy (Oakland), 2023 (*same contribution)

VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely?.

NeurIPS (Spotlight) 2022

Cryptographic Auditing for Collaborative Learning

ML Safety Workshop at NeurIPS 2022

Zeph: Cryptographic Enforcement of End-to-End Data Privacy.

USENIX OSDI 2021

Droplet: Decentralized Authorization and Access Control for Encrypted Data Streams

USENIX Security 2020

TimeCrypt: Encrypted Data Stream Processing at Scale with Access Control

USENIX NSDI 2020

Robust Secure Aggregation for Privacy-Preserving Federated Learning with Adversaries

PPML Workshop at CCS 2019

Secure Sharing of Partially Homomorphic Encrypted IoT Data.

ACM SenSys 2017

Towards Blockchain-based Auditable Storage and Sharing of IoT Data.

CCSW Workshop at CCS 2017