When Do Differentially Private Inputs Protect Graph Shift Operators?

arXiv:2609.28899 · cs.CR, eess.SP · Submitted 2026-09-24 · Read on arXiv

cs.CR, eess.SP

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Differentially Private — 27× in this paper · explained in 3 episodes
• Differential Privacy — 11× in this paper · explained in 4 episodes
• Fisher Information — 9× in this paper · explained in 3 episodes
• Core — 8× in this paper · explained in 2 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Aggregation — 4× in this paper · explained in 1 episode
• Multimodal Inputs — 4× in this paper · explained in 2 episodes
• Generative Model — 3× in this paper · explained in 2 episodes
• Trace — 3× in this paper · explained in 2 episodes
• System Identification — 2× in this paper · explained in 3 episodes
• AUC — 1× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Clustering — 1× in this paper · explained in 2 episodes
• Differential Privacy (DP) — 1× in this paper · explained in 7 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Diffusion Processes — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• GNNs — 1× in this paper · explained in 2 episodes
• Gaussian Mixture Model (GMM) — 1× in this paper · explained in 2 episodes
• IEEE Signal Processing Society — 1× in this paper
• Multi-Agent System — 1× in this paper · explained in 5 episodes
• Optimal Transport — 1× in this paper · explained in 5 episodes
• Scaling Laws — 1× in this paper · explained in 4 episodes
• Singular Value Decomposition (SVD) — 1× in this paper · explained in 2 episodes
• Transferability — 1× in this paper · explained in 4 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes

Sources

• Differential Privacy of Network Parameters from a System Identification Perspective
• Differentially Private Obfuscation of Power Grid Dynamics
• Differentially Private Generative Adversarial Network
• Differentially Private Distribution Release of Gaussian Mixture Models via KL-Divergence Minimization

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