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Differentially private exact recovery for stochastic block models

ICML 2024 · Federated learning and privacy › Differential privacy · approach: Differentially private clustering · 0 citations (OpenAlex)

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Derives conditions for edge-DP exact recovery in asymmetric, censored, and general-structure stochastic block models using a stability mechanism applied to an SDP estimator, plus a polynomial-time variant.

Problem

Exact recovery of community structure in stochastic block models under edge differential privacy; prior private results covered only symmetric SBMs and were exponential/quasi-polynomial time or had constant-factor gaps from non-private thresholds.

Approach

Apply the stability mechanism to an SDP estimator, and prove that a C-concentration property holds w.h.p. for each SBM variant, persists under log n edge flips, and yields a deterministic dual certificate. A fast variant tests C-concentration to avoid the expensive distance-to-instability computation, giving polynomial time.

Key results

Measured effects reported in the paper

What was changedWhereMeasuredEffect
use the polynomial-time fast stability mechanism with the SDP estimatorBinary Symmetric SBM under edge differential privacy · Binary Symmetric SBMrecovery threshold: \sqrt{a} - \sqrt{b} \geq \sqrt{2}\sqrt{1 + 2/\epsilon} vs. \sqrt{a} - \sqrt{b} \geq \sqrt{2}\sqrt{2 + 3/(2\epsilon)}Helped
apply the SDP stability mechanism to unequal-sized clustersBinary Asymmetric SBM · Binary Asymmetric SBMexact recoveryHelped
apply the SDP stability mechanism to labeled edgesBinary Censored SBM · Binary Censored SBMexact recoveryHelped
apply the SDP stability mechanism to multiple clusters with outliersGeneral Structure SBM · General Structure SBMexact recoveryHelped
use the fast stability mechanism instead of computing distance to instability directlySDP-based stability mechanism · Binary Asymmetric, Binary Censored, and General Structure SBMsrunning time: n^{O(\log{n})} -> O(poly(n))Helped
take the privacy parameter toward infinityproposed private algorithms · Binary Asymmetric, Binary Censored, and General Structure SBMsrecovery thresholdHelped

Limitations

Experimental setup

Metrics: exact recovery threshold privacy guarantee (epsilon, delta)-DP running time

Baselines: MLE-Stability SDP-Stability RR + SDP Gaussian-mechanism SDP method (symmetric SBM)

Builds on: Stability mechanism (Vullikanti/Nguyen prior work on private SBM recovery) SDP relaxation for SBM exact recovery (Abbe-Bandeira-Hall style) Talagrand concentration inequality

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