2results about How to "Avoid identification" patented technology

This invention relates to an active learning-based data-free black-box attack method and system based on multidimensional value assessment, belonging to the field of artificial intelligence security technology. This method constructs a pre-emptive "sample screening funnel," utilizing a local substitution model to perform multidimensional assessments of sample boundary approximation, information uncertainty, and geometric diversity before sending images to a commercial cloud API. Only high-value samples are selected for querying, thereby achieving low-cost, high-efficiency model theft and adversarial attacks. This invention ensures the diversity and training stability of data-free generated samples, significantly improves the transfer success rate of adversarial examples, and achieves "low-cost, low-risk" economical attacks. It has strong versatility and can be seamlessly integrated into various existing data-free attack frameworks, facilitating deployment and implementation in practical security assessment systems.

This invention relates to a method for multi-factor authentication passwords. It automatically generates corresponding matching features by continuously recording the relatively fixed characteristics of a user's password input habits, and automatically invokes these matching features for verification in case of verification anomalies. Because these matching features possess strong personal characteristics and long-term stability, they significantly improve security against technical decryption, brute-force attacks, and credential stuffing attacks. Furthermore, these matching features do not require separate configuration, achieving the technical effect of improving password verification security and reliability without increasing the user's learning cost or verification methods.