Rajvardhan Oak

Rajvardhan Oak

Alumni (MIMS 2020)

Focus

Deep Learning, Machine Learning, AI and Security

Specialization

Cybersecurity
Data Science
Software Development

Biography

I am a second-year Masters in Information Management Systems (MIMS) Program at the School of Information at UC Berkeley. I obtained my Bachelors Degree in Computer Science Engineering from the University of Pune, India in 2018. 

I have been extremely fortunate to have worked with esteemed faculty like Prof. Dawn Song and Prof. Hany Farid. In addition, I have had fruitful collaborations with Dr. Min Du and Dr. Sadia Afroz. I am also affiliated with the Center for Long Term Cybersecurity advised by Prof. Steve Weber where I work with non-profits to help them improve their security landscape.

Publications

  • Rajvardhan Oak, Min Du, David Yan, Hardhvardhan Takawale and Idan Amit, "Malware Detection on Highly Imbalanced Data using Sequence Modeling", in AISec 2019
  • Min Du, Zhi Chen, Chang Liu, Rajvardhan Oak and Dawn Song, "Lifelong Anomaly Detection through Unlearning", in CCS 2019
  • [POSTER] Rajvardhan Oak, "Adversarial Examples against Hate Speech Classifiers", in CCS 2019
  • [POSTER] Rajvardhan Oak, Chaitanya Rahalkar and Dhaval Gujar, "Using Generative Adversarial Networks for Secure Pseudorandom Number Generation", in CCS 2019

Research

My research focuses on applying machine learning techniques to solve issues related to computer and network security. My most recent projects have been about malware detection, lifelong anomaly detection and fake news identification.

 

Awards / Fellowships

Affiliations

 

Last updated:

August 6, 2020