Logic Lock Protocol v1.2: Industrial-Grade Security Standard Against Gradient Attacks
Year: 2026
Type: article
Abstract: The Logic Lock Protocol (LLP) is an industrial-grade security standard designed to protect machine learning and AI systems against gradient-based adversarial attacks. This protocol implements cryptographic locking mechanisms at the model parameter level, preventing unauthorized extraction or inversion through gradient leakage during training or inference phases. KEY FEATURES:- Cryptographic parameter locking using non-invertible transformations- Gradient noise injection with controlled entropy thresholds- Dynamic key rotation for long-term model security- Hardware-aware optimization for industrial deployment- API standardization for cross-framework compatibility APPLICATIONS:- Secure AI deployment in critical infrastructure- Protection of proprietary ML models in financial systems- Defense against model inversion attacks in healthcare AI- Intellectual property protection for research institutions TECHNICAL SPECIFICATIONS:- Protocol Version: 1.2- Security Level: Industrial Grade- Framework Support: PyTorch, TensorFlow, JAX- License: Apache 2.0
Author: CARRICONDO, FRANCO
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7126418936
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