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## Does robustness imply tractability? A lower bound for planted clique in the semi-random model

Abstract · Apr 17, 2017 20:53 ·

planted semi fellowship edges included clique threshold theoretic analog cs-cc cs-it cs-lg math-it math-st stat-th

### Arxiv Abstract

• Jacob Steinhardt

We consider a robust analog of the planted clique problem. In this analog, a set $S$ of vertices is chosen and all edges in $S$ are included; then, edges between $S$ and the rest of the graph are included with probability $\frac{1}{2}$, while edges not touching $S$ are allowed to vary arbitrarily. For this semi-random model, we show that the information-theoretic threshold for recovery is $\tilde{\Theta}(\sqrt{n})$, in sharp contrast to the classical information-theoretic threshold of $\Theta(\log(n))$. This matches the conjectured computational threshold for the classical planted clique problem, and thus raises the intriguing possibility that, once we require robustness, there is no computational-statistical gap for planted clique.