Tanu Kaushik’s research focuses on threats posed by adversarial machine learning, as well as the detection, protection, response, and recovery mechanisms for known attack techniques that rely on these algorithms. Her research interests also span cloud security threats, from which she co-developed the Mitre ATT&CK Framework. She is currently pursuing a Master’s degree in Information and Cybersecurity at the UC Berkeley School of Information. She was also an Infosec scholarship recipient in 2019. Initially, she started out at Infosys Technologies in India and later became a cybersecurity consultant.
CLTC Grant Projects
- Threats posed by adversarial machine learning and detection, protection, response, and recovery mechanisms for known attack techniques (2022)