Privacy-Preserving Machine Learning and Data Analysis:

• Private (stochastic) optimization [Sample papers: 1, 2, 3, 4]

• Distributed (a.k.a. local) differentially private data analysis: [Sample papers: 1, 2].

• Private learning assisted with public data: [Sample papers: 1, 2, 3]

Machine Learning/Theory/Optimization:

• Stability, information, and generalization. [Sample papers: 1, 2, 3]

• Adaptive data analysis. [Sample papers: 1, 2]

• Optimization in deep learning. [Sample papers: 1, 2]