We present xChk, a reference identity provider for Bring Your Own Identity (BYOI): users enroll via heterogeneous proofs (government KYC, corporate SSO, WebAuthn/FIDO2, professional networks, live verification, longitudinal activity, behavioral signals) and disclose them as portfolio claims in standard OAuth 2.0 / OpenID Connect (OIDC) tokens, while each relying party applies its own sufficiency policy - the IdP transports claims and may evaluate an RP-supplied evidence policy for consent, but does not adjudicate access. Enrollment depth varies by modality (some paths are user-initiated; org KYB and officer binding are operator-assisted). xChk also supports human-in-the-loop attestation for high-risk actions: humans can initiate attestations directly (browser UI / POST /api/attestations), and AI agents acting under those principals can trigger the same gateway via scope-gated authorize/attest - hash-chained human approvals on a shared verification graph (humans via OIDC; agents via API keys). A production deployment at https://in.xchk.io ships both initiation paths with bilateral RP evaluation at consent; one documented relying party (https://crabbyed.com, Appendix B) exercises Login with xChk.
This work presents China RealDID, a three-layer architecture -- CTID (centralized legal identity), RealDID (decentralized anchor on an open permissioned blockchain), and VCs with SD-JWT-based selective disclosure -- evaluated against five adversary classes and six security goals.
This work introduces minimal information disclosure (MID), which designs and quantifies the information content of verifier-facing evidence itself and measures collateral leakage with conditional mutual information.
Ephemeral coin tracing (ECT) is introduced, a primitive whose tracing capacity is bounded by construction, both in the number of simultaneously traced users and in the number of hops each trace survives.
Ignacio Amores-Sesar, Christian Cachin, Rohit Chatterjee et al.· 0 citations
Privacy exposure displacement, the mismatch between a local evaluation proxy and target-grounded session exposure, and ASLEval, an authorization-aware framework that pre-registers a hidden target set, measures all declared visible exits, and reserves internal traces for diagnosis are introduced.
Guo-Xin Wu, Hui-Zhen Huang, Guo-Xiong Long et al.· 0 citations
A four-stage forensic audit protocol for API-served models, validated prospectively on a flagship case whose 2026-08-23 analysis pointed to the GLM-5.3 version line and whose official reveal confirmed those family and version-line inferences.
A layered system model and an analysis pipeline that uses prior history as the temporal baseline, applies cumulative pruning and cross-proof propagation to each proof's Commitment Set, and recursively traces the survivors through historical hidden-state transitions to derive the final transaction-level Anonymity Set Si...
Hanze Guo, Stefanos Chaliasos, Yebo Feng et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.