Jasjeet Dhaliwal

Title: Jasjeet Dhaliwal: Innovator in Machine Learning and Cybersecurity

Introduction

Jasjeet Dhaliwal is a prominent inventor based in Morgan Hill, CA (US). He has made significant contributions to the fields of machine learning and cybersecurity, holding a total of 5 patents. His innovative work focuses on enhancing the security of computing devices through advanced machine learning techniques.

Latest Patents

One of Jasjeet's latest patents is titled "Machine learning adversarial campaign mitigation on a computing device." This patent outlines a method for deploying an original machine learning model in a model environment associated with a client device. It includes the use of a classification monitor to detect adversarial classification decision outputs and apply a transformation function to thwart malicious campaigns. Another notable patent is "Identifying and protecting against a computer security threat while preserving privacy of individual client devices using differential privacy for text documents." This invention involves generating differential privacy document vectors to identify and protect against computer security threats while ensuring the privacy of client devices.

Career Highlights

Jasjeet has worked with notable companies such as Symantec Corporation and NortonLifeLock Inc. His experience in these organizations has allowed him to develop and refine his expertise in cybersecurity and machine learning applications.

Collaborations

Throughout his career, Jasjeet has collaborated with talented individuals, including Saurabh Shintre and Andrew B. Gardner. These collaborations have contributed to the advancement of his innovative projects and patents.

Conclusion

Jasjeet Dhaliwal is a distinguished inventor whose work in machine learning and cybersecurity has led to significant advancements in protecting computing devices. His patents reflect a commitment to innovation and security in the digital age.