Differentially Private Fair Division

Fairness and privacy are two important concerns in social decision-making processes such as resource allocation. We study the fair allocation of indivisible resources using well-established framework differential privacy. present algorithms for approximate envy-freeness proportionality when instances considered to be adjacent if they differ only on utility a single agent item. On other hand, we provide strong negative results both fairness criteria adjacency notion allows entire function change.