This repository discloses a critical vulnerability in Apple’s A16 Bionic chip, where debug logic is executed on production-fused devices (dev-fused=0, debug=0x0). Logs show SecureROM and co-processor debug paths active without jailbreak or user tampering—violating the silicon-level trust model.

Supplementary Material for The Transfer of Human Trust in Robot Capabilities across Tasks (RSS 2018)

Just recording papers I read everyday 📚

About In this project, we've applied the subjective logic as a trust model in a VANet. We've used Mininet-wifi to simulate this model.

Living Relational Identity (LRI) defines non-operational invariants that protect living identity in human–system relationships from optimization and capture.

Codebase of paper "Improving Trust Estimation in Human-Robot Collaboration Using Beta Reputation at Fine-grained Timescales" published at RA-L 2025 📝

Runtime security layer for AI agents — inspect, control, and audit every tool call. Trust-aware data flow, 3-layer intent consistency detection, Merkle audit trail. Drop-in support for LangChain, CrewAI, AutoGen, OpenClaw, MCP, Dify, AutoGPT, n8n.

🔍 Expose a critical flaw in Apple A16 Bionic, enabling unauthorized debug access on iPhone 14 Pro Max without jailbreak, impacting device security.

A demonstration of a dual-channel fail-closed validation model with structured evidence outputs.

Evidence-driven cybersecurity reasoning engine. Five agents, deterministic scoring, human-gated trust promotion, append-only evidence, 134 tests.

Verification URL UI with SQLite persistence, enabling fail-closed decisions and reproducible verification logs.

Security-first AI artifact registry — digest-based storage, policy-gated promotion, signed provenance, and reproducible trust metadata for local models, adapters, and tokenizers

iOS implementation for the goPlay social app

Fail-closed enforcement layer that converts deterministic ACCEPT/REJECT decisions into guaranteed execution control with a public verification URL.

Verification URL UI with SQLite persistence and search/filter capabilities, enabling practical verification log analysis.

Simulation-based framework for urgency-aware, trust-based consensus in lightweight IoT blockchain environments

A model of trust where the client’s AI generates the answer

MoCKA v1.0.0（2026） is a deterministic, verifiable knowledge architecture that models a self-regulating civilization. It replaces hidden state with structured, auditable, and append-only records, enabling prevention, decision, audit, and learning within a closed-loop system.