在担任集图助教的过程中遇到了各种各样的问题,这里记录一些常见的,或是值得被记下来的问题.
论文笔记[15]——度量空间中的差分隐私
论文:Holohan N, Leith D J, Mason O. Differential privacy in metric spaces: Numerical, categorical and functional data under the one roof[J]. Information Sciences, 2015, 305: 256-268.
论文笔记[14]——Private Pareto Optimal Exchange
Justin Hsu 在其 STOC 2014 的工作中表明了,在 dp,甚至是放宽条件后的 Joint-dp 之下,都无法保证得到一个渐进 Pareto 最优的分配(在所有分配参与者都是理性的情况下). 因此,在此工作中使用了比 Joint-dp 更为宽松的 Marginal-dp,并在此条件下找到了渐进 Pareto 最优的分配.
- 文中描述的是一个以物易物的市场,即需要给定一个初始分配.
Sampath Kannan, et al. Private pareto optimal exchange. ACM Transactions on Economics and Computation (TEAC), 2018.
论文笔记[13]——Mechanism design via differential privacy
Paper Outline:Frank McSherry, Kunal Talwar. Mechanism design via differential privacy. FOCS 2007.

论文笔记[12]——Private Matchings and Allocations
Justin Hsu, et al. Private matchings and allocations. SIAM Journal on Computing, 2016.
Justin Hsu, Zhiyi Huang, Aaron Roth, Tim Roughgarden, and Zhiwei Steven Wu. Private matchings and allocations. STOC 2014.
- Differential Privacy & Resource Allocation