1. R. I. Arriaga and S. Vempala. An algorithmic theory of learning: Robust concepts and random projection. In Proceedings of the 40'th Annual Symposium on the Foundations of Computer Science, pages 616--623, 1999.
2. S. Ben-David, N. Eiron, and H. U. Simon. Limitations of learning via embeddings in euclidean half-spaces. Journal of Machine Learning Research, 3:441--461, 2002.
3. A. Blum, M. Furst, J. Jackson, M. Kearns, Y. Mansour, and S. Rudich. Weakly learning DNF and characterizing statistical query learning using Fourier analysis. In Proceedings of the 26th Annual Symposium on Theory of Computing, pages 253--263, 1994.
4. A. Blum, K. Ligett, and A. Roth. A learning theory approach to non-interactive database privacy. Journal of the Association on Computing Machinery, 60(2):12, 2013.
5. J. C. Duchi, M. I. Jordan, and M. J. Wainwright. Privacy aware learning. In Advances in Neural Information Processing Systems 25, pages 1430--1438, 2012.