Momentum Optimization
Ethics & Safety
An attack where adversaries attempt to duplicate a proprietary AI model's functionality through repeated queries and observation of outputs.
Detailed Explanation
Model stealing is an unethical attack where adversaries repeatedly query a proprietary AI model, analyzing its outputs to replicate its functionality. This process aims to create a surrogate model, potentially infringing on intellectual property and exposing vulnerabilities. Protecting models from such theft involves techniques like query rate limiting, model watermarking, and monitoring for suspicious activity.
Use Cases
- •A competitor copies proprietary AI, risking intellectual property loss; implement rate limiting and watermarking to detect and prevent model stealing attacks.
Related Terms
Other terms in the Ethics & Safety category