Research Output
CRSP-FL: Efficiently Scaling Private Frequency Estimation to Resolve Data Heterogeneity in Federated Learning
SHARP-FL: Single-Round Global Frequency Reweighting for Private Federated Learning
OPA Sketched: Breaking the Secure Aggregation Tax for Communication Efficient Private Federated Learning
Regulatable ML @NeurIPS2025, NeurIPS 2025 Workshop on GenAI in Finance
AgentCrypt: Advancing Privacy and Secure Computation in AI Agent Collaboration
Regulatable ML @NeurIPS2025,NeurIPS 2025 Workshop on Scaling Environments for Agents
Armadillo: Robust Secure Aggregation for Federated Learning with Input Validation
Early version: NeurIPS 2024 AIM-FM Workshop
Early versions: TPMPC ’25 · NeurIPS ’24 Workshop · AAAI ’25 Workshop
PriDeCT: Towards Public Consensus, Private Transactions, and Forward Secrecy in Decentralized Payments
Combining Forward-Security and Leakage-Resilience, Revisited
Forward-Secure Encryption with Fast Forwarding
On Seedless PRNGs and Premature Next
An Efficient Multiple PKG Compatible Identity Based Authenticated Key Agreement Protocol
Accepted at Inscrypt 2015