If we knew what it was we were doing, it would not be called research, would it?

- Albert Einstein

Research:

I am keenly interested in working on the challenging topics in Trustworthy AI, especially security and privacy in machine learning.

I have also gotten some research experience exploring some topics in Digital Image Forensics, Applied Cryptography, Computer Vision & Deep learning.


Our sponsors:

Activities and updates

  • 06/07/22 Padmavathi Iyer and I volunteered for SACMAT'22

  • 05/10/22 I'm invited to serve as a web chair for IEEE S&P (Oakland) 2023

  • 04/20/22 Our poster "Privacy-preserving Neural Network with Functional Encryption" got accepted for oral presentation at IEEE S & P 2022 (Oakland)

  • 04/17/22 Received a travel grant ($1300) to attend the most awaited IEEE Symposium on Security & Privacy 2022 that will be held at San Fransisco.

  • 02/11/22 Attended a workshop on Private AI by Institute for Mathematical and Statistical Innovation, Chicago

  • 11/17/21 Our paper "Towards Faster Functional Encryption for Privacy-preserving Machine Learning" got accepted in IEEE TPS 2021

  • 02/02/21 Successfully passed PhD qualifier exam

  • 05/20/21 Received a grant to attend IEEE Symposium on Security and Privacy 2021

  • 01/15/21 Won 5th prize in Crypto Hackathon organized by FENTEC GROUP under EU H2020 project in conjunction with International Association for Cryptologic Research Real World Crypto Symposium 2021

  • 11/13/20 Received a grant for and attended ACM CCS 2020

  • 07/23/20 Attended Microsoft's Frontiers in Machine Learning conference

  • 06/17/20 National Security Agency and the Department of Homeland Security have designated our center @Georgia State University as a National Center of Academic Excellence in Cyber Research

  • 06/06/20 Got selected for and attended training on Designing a Data Science Solution on Azure organized by Microsoft Research Redmond

  • 5/21/20 Attended 41st IEEE Symposium on Security and Privacy

  • 4/29/20 Received a grant to attend 41st IEEE Symposium on Security and Privacy 2020

Publications:

  • Prajwal Panzade and Daniel Takabi. SoK: Privacy Preserving Machine Learning using Functional Encryption: Opportunities and Challenges (under review)

  • Prajwal Panzade and Daniel Takabi. Towards Faster Functional Encryption for Privacy-preserving Machine Learning. To appear in IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications, Dec 2021. IEEE (supported by Microsoft Research and NSF).

  • Panzade PP, Prakash CS, Maheshkar S, Om H. Detection of Copy-move forgery using AKAZE and SIFT keypoint extraction. Journal on Multimedia Tools and Applications. May 2019. Springer.

  • Panzade PP, Prakash CS, Maheshkar S. Copy-move forgery detection by using HSV preprocessing and keypoint extraction. InParallel, Distributed and Grid Computing (PDGC), 2016 Fourth International Conference on 2016 Dec 22 (pp. 264-269). IEEE.

  • Geethika S, Sai Sree I, Pranathi A, Prajwal P, Advertisements and Multimedia Recommendation based on Age, Gender and Emotion (AMRAGE). ICCCMLA 2019: International Conference on Cybernetics, Cognition and Machine Learning Applications. Springer.

Posters:

  • Prajwal Panzade and Daniel Takabi. Privacy-preserving Neural Network with Functional Encryption IEEE S&P' 22