This inventor holds 5 USPTO granted patents. Top assignee: Amazon Technologies, Inc.. Active years: 2020-2026.
Company Filing History:
Years Active: 2020-2026
Title: Aurelian Tutuianu: Innovator in Data Sensitivity Detection
Introduction
Aurelian Tutuianu is a notable inventor based in Iasi, Romania. He has made significant contributions to the field of data sensitivity detection, holding a total of 5 patents. His work focuses on developing innovative techniques that enhance the security and privacy of sensitive information.
Latest Patents
One of Tutuianu's latest patents is titled "Efficient statistical techniques for detecting sensitive data." This invention involves identifying a candidate attribute combination from a first data set that meets a data type similarity criterion with respect to a collection of sensitive information. The process generates input features for a machine learning model, which predicts the probability of sensitive information's presence in the data set.
Another significant patent is "Generative adversarial network for named entity recognition." This invention utilizes a generative adversarial network (GAN) to recognize named entity types in datasets containing sensitive information. The GAN consists of a generator that produces synthetic data simulating sensitive information and a discriminator that classifies real versus synthetic data. This technology aids in identifying sensitive information while facilitating anonymous data sharing.
Career Highlights
Aurelian Tutuianu is currently employed at Amazon Technologies, Inc., where he continues to innovate in the realm of data security. His expertise in machine learning and data analysis has positioned him as a valuable asset in his field.
Collaborations
Throughout his career, Tutuianu has collaborated with notable colleagues, including Daniel Voinea and Marian-Razvan Udrea. These partnerships have contributed to the advancement of his research and the successful development of his patents.
Conclusion
Aurelian Tutuianu is a distinguished inventor whose work in data sensitivity detection has led to significant advancements in the field. His innovative patents reflect his commitment to enhancing data security and privacy.