The Value of Collaboration in Convex Machine Learning with Differential Privacy. - Nan Wu 013; Farhad Farokhi; David B. Smith 001; Mohamed Ali Kâafar (SP, 2020)

The Cost of Privacy in Asynchronous Differentially-Private Machine Learning. - Farhad Farokhi; Nan Wu 013; David B. Smith 001; Mohamed Ali Kâafar (IEEE Trans. Inf. Forensics Secur., 2021)

Fairness and Cost Constrained Privacy-Aware Record Linkage. - Nan Wu 013; Dinusha Vatsalan; Sunny Verma; Mohamed Ali Kâafar (IEEE Trans. Inf. Forensics Secur., 2022)

Privacy-Preserving Record Linkage for Cardinality Counting. - Nan Wu 013; Dinusha Vatsalan; Mohamed Ali Kâafar; Sanath Kumar Ramesh (AsiaCCS, 2023)

Cardinality Counting in "Alcatraz": A Privacy-aware Federated Learning Approach. - Nan Wu 013; Xin Yuan 004; Shuo Wang 012; Hongsheng Hu; Minhui Xue 001 (WWW, 2024)