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"schema_version": 1,
"title": "Repro - FiBeR DP-Noise Attenuation (uMdZHVXdOL)",
"emoji": "🔇",
"space_id": "DineshAI/uMdZHVXdOL",
"paper": {
"arxiv_id": "2605.03425",
"openreview_id": "uMdZHVXdOL",
"title": "FiBeR: A Differentially Private Optimizer with Filter-Aware Innovation Bias Correction"
},
"tags": [
"icml2026-repro",
"paper-uMdZHVXdOL",
"google-colab-g4",
"gpu-rtx-pro-6000-blackwell"
],
"updated_at": "2026-07-23T03:08:48+00:00",
"root": {
"slug": "index",
"title": "Repro - FiBeR DP-Noise Attenuation (uMdZHVXdOL)",
"file": "pages/index.md",
"children": [
{
"slug": "claim-attenuation",
"title": "Claim 1 — Attenuation identity",
"file": "pages/claim-attenuation/page.md",
"children": []
},
{
"slug": "methods-environment",
"title": "Methods & hardware — CPU C1 + Colab G4 training",
"file": "pages/methods-environment/page.md",
"children": []
},
{
"slug": "negative-controls",
"title": "Negative controls",
"file": "pages/negative-controls/page.md",
"children": []
},
{
"slug": "claim-2-dp-training-comparison",
"title": "Claim 2 — prior reduced-scale MNIST comparison",
"file": "pages/claim-2-dp-training-comparison/page.md",
"children": []
},
{
"slug": "claim-3-literal-attribution",
"title": "Claim 3 — literal numeric-attribution audit",
"file": "pages/claim-3-literal-attribution/page.md",
"children": []
},
{
"slug": "claim-2-cifar10-g4",
"title": "Claim 2 — CNN5/CIFAR-10 G4 campaign",
"file": "pages/claim-2-cifar10-g4/page.md",
"children": []
},
{
"slug": "claim-3-cifar100-g4",
"title": "Claim 3 — WideResNet/CIFAR-100 G4 campaign",
"file": "pages/claim-3-cifar100-g4/page.md",
"children": []
},
{
"slug": "claim-5-matched-compute-g4",
"title": "Claim 5 — matched compute G4 campaign",
"file": "pages/claim-5-matched-compute-g4/page.md",
"children": []
},
{
"slug": "claim-6-filter-ablation-g4",
"title": "Claim 6 — filter ablation and omega sweep",
"file": "pages/claim-6-filter-ablation-g4/page.md",
"children": []
},
{
"slug": "conclusion",
"title": "Conclusion",
"file": "pages/conclusion/page.md",
"children": []
}
]
},
"agent_view_tokens": 8000,
"revision": "1784776128000000000"
}
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