Buildability / Receipt
This public receipt window renders only fields present in the canonical receipt object, deterministic fixture receipt, or canonical evidence receipt. Missing compute, demo, hash, signature, approval, telemetry, and adoption fields stay explicit.
Public buildability page receipt window
/buildability/ai-model-extraction-attacks-bypassing-single-client-assumptions-in-defenses
Subject: AI Model Extraction Attacks: Bypassing Single-Client Assumptions in Defenses
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Data
{"file name": "input.pdf", "number of pages": 7, "author": "Maxime Schwarzer; Johannes F. Loevenich; Gustavo S\u00e1nchez; Laurin Holz; Thies M\u00f6hlenhof; Tobias H\u00fcrten
Truth Boundary
Buildability surfaces only report computed viability and proof receipts. They do not claim live production usage, pilot outcomes, founder sign-off, public Brier calibration, judge divergence, or external adoption unless explicitly sourced.
Compute
{"file name": "input.pdf", "number of pages": 7, "author": "Maxime Schwarzer; Johannes F. Loevenich; Gustavo S\u00e1nchez; Laurin Holz; Thies M\u00f6hlenhof; Tobias H\u00fcrten; Roberto Rigolin F. Lopes; Veit Hagenmeyer", "title": "AI Model Extraction Attacks: Bypassing Single-Client Assumptions in Defenses"
Inference
{"file name": "input.pdf", "number of pages": 7, "author": "Maxime Schwarzer; Johannes F. Loevenich; Gustavo S\u00e1nchez; Laurin Holz; Thies M\u00f6hlenhof; Tobias H\u00fcrten; Roberto Rigolin F. Lopes; Veit Hagenmeyer", "title": "AI Model Extraction Attacks: Bypassing Single-Client Assumptions in Defenses"
Hardware
{"file name": "input.pdf", "number of pages": 7, "author": "Maxime Schwarzer; Johannes F. Loevenich; Gustavo S\u00e1nchez; Laurin Holz; Thies M\u00f6hlenhof; Tobias H\u00fcrten; Roberto Rigolin F. Lopes; Veit Hagenmeyer", "title": "AI Model Extraction Attacks: Bypassing Single-Client Assumptions in Defenses"
Receipt path
/buildability/ai-model-extraction-attacks-bypassing-single-client-assumptions-in-defenses
Paper ref
ai-model-extraction-attacks-bypassing-single-client-assumptions-in-defenses
arXiv id
2606.03381
Generated at
2026-06-03T20:43:04.674Z
Evidence freshness
fresh
Last verification
2026-06-03T20:43:04.674Z
Sources
3
References
0
Coverage
50%
Lineage hash
66a58efe7a6add98020df136247287e7cd5ea294107d650b3f4283078eb202b7
Canonical opportunity-kernel lineage hash.
External signature
unsigned_external
No founder, registry, pilot, or production-adoption signature is attached to this receipt.
Verification
not_verified
Verification is blocked until an external signature is provided.
Canonical opportunity-kernel evidence is available for this receipt window.
repo_url
references