Company Filing History:
Years Active: 2021
Title: **Hila Peleg: Innovator in Machine Learning for Input Fuzzing**
Introduction
Hila Peleg, a talented inventor based in Tel Aviv, Israel, is making strides in the field of machine learning. Her notable innovation focuses on enhancing the efficiency of input fuzzing through advanced techniques in statistical learning and generative modeling.
Latest Patents
Hila Peleg holds a patent for her pioneering work titled "Machine learning for input fuzzing." This innovative patent presents methods and systems for automatically generating input grammars that enhance grammar-based fuzzing processes. Utilizing machine-learning techniques and sample inputs, she employs neural-network-based statistical learning methods to create input grammars. By implementing recurrent neural networks, Hila developed a statistical input model that generates new inputs guided by the probability distribution derived from the learned model.
Career Highlights
Hila Peleg has made significant contributions to the field of machine learning and input fuzzing during her career, particularly through her work at Microsoft Technology Licensing, LLC. Her dedication to innovation and advancement in technology has earned her recognition as a leading inventor in her domain.
Collaborations
Throughout her career, Hila has collaborated with distinguished peers, including Patrice Godefroid and Rishabh Singh. These partnerships have fostered a creative environment that enhances research and development in the field of machine learning.
Conclusion
Hila Peleg exemplifies the spirit of innovation with her dedication to advancing machine learning applications. Her patent and collaborative efforts are paving the way for improvements in input fuzzing methodologies, showcasing her impact on the technology landscape. As she continues her work at Microsoft Technology Licensing, her contributions are certain to inspire future developments in the field.