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
03/15/24 Our paper "RobustSentEmbed: Robust Sentence Embeddings Using Adversarial Self-Supervised Contrastive Learning" has been accepted to the NAACL 2024 Findings.
02/06/24 Received a travel grant to attend PPAI @ AAAI 2024
01/23/24 The US Congress has passed the bill mentioning the Indian Institute of Technology (my alma mater). It highlights - "honor the technology, scientific, and economic innovation attributable to graduates of the Indian Institutes of Technology"
12/22/23 Our paper "I can't see it but I can fine-tune it" got accepted at PPAI-24 @AAAI-24. Preprint will be available soon.
12/ 15/ 23 Our paper MedBlindTuner got accepted at W3PHIAI-24 @AAAI-24.
10/20/23 Our paper on "Privacy-preserving Machine Learning using Functional Encryption: Opportunities and Challenges" got accepted in IEEE Internet of Things Journal (IF: 10.6)
10/11/23 Successfully defended the doctoral proposal
09/01/23 I'm once again honored to serve as a web chair of the prestigious IEEE S&P 2024
08/22/23 Got selected to serve on Artifact Review Committee of PETS'24
06/20/23 Got selected as an Artifact Evaluation Committee member of NDSS'24
06/15/23 Got invited as a TPC member for Workshop on Cyberspace Security and Artificial Intelligence (CAI-2023) @ IEEE TrustComm'23
05/27/23 Enjoyed IEEE S&P'23 at San Fransisco
05/22/23 Our proposal on "A Design Study of Problem-centered Instruction (PCI) for Private Artificial Intelligence (AI) Curriculum Development" got accepted at the AECT International Convention, Orlando, FL.
04/26/23 Had a great time presenting our work on FENet at the ACM IWSPA @CODASPY'23.
04/21/23 Our poster "Packing-aware Pruning for Efficient Private Inference based on Homomorphic Encryption" got accepted for oral presentation at IEEE S&P 2023
02/08/23 Our paper "FENet: Privacy-preserving Neural Network Training with Functional Encryption" got accepted in the 9th ACM International Workshop on Security and Privacy Analytics co-located with ACM CODASPY 2023.
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
Research Publications:
Javad Rafiei Asl, Prajwal Panzade, Eduardo Blanco, Daniel Takabi, Zhipeng Cai. RobustSentEmbed: Robust Sentence Embeddings Using Adversarial Self-Supervised Contrastive Learning. Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL Findings) 2024. (Accepted).
Golnoush Haddadian, Prajwal Panzade, Daniel Takabi, Min Kim. Evaluating private artificial intelligence (AI) curriculum in computer science (CS) education: Insights for advancing student-centered CS learning. The 18th International Conference of the Learning Sciences/Computer-Supported Collaborative Learning (ICLS/CSCL-2024) (Accepted).
Prajwal Panzade, Daniel Takabi and Zhipeng Cai. I Can’t See It But I Can Fine-tune It: On Encrypted Fine-tuning of Transformers using Fully Homomorphic Encryption. PPAI-24@The 38th Annual AAAI Conference on Artificial Intelligence 2024. (Accepted).
Prajwal Panzade, Daniel Takabi and Zhipeng Cai. MedBlindTuner: Towards Privacy-preserving Fine-tuning on Biomedical Images with Transformers and Fully Homomorphic Encryption. W3PHIAI-24@The 38th Annual AAAI Conference on Artificial Intelligence 2024. (Accepted).
Prajwal Panzade, Daniel Takabi and Zhipeng Cai. Privacy-preserving Machine Learning using Functional Encryption: Opportunities and Challenges. IEEE Internet of Things Journal (IF: 10.6) (supported by Microsoft Research and NSF).
Haddadian G, Takabi D, Panzade P, Kim M. A Design Study of Problem-centered Instruction (PCI) for Private Artificial Intelligence (AI) Curriculum Development. Association for Educational Communications and Technology Conference 2023 (supported by NSF).
Prajwal Panzade and Daniel Takabi. FENet: Privacy-preserving Neural Network Training with Functional Encryption. IWSPA @ ACM CODASPY 2023. (supported by Microsoft Research and NSF).
Ghazvinian P, Podschwadt R, Panzade P, Rafiei MH, Takabi D. Poster: Packing-aware Pruning for Efficient Private Inference based on Homomorphic Encryption. IEEE Symposium on Security & Privacy 2023
Prajwal Panzade and Daniel Takabi. Poster: Privacy-preserving Neural Network with Functional Encryption. IEEE Symposium on Security & Privacy 2022
Prajwal Panzade and Daniel Takabi. SoK: Privacy Preserving Machine Learning using Functional Encryption: Opportunities and Challenges.
Prajwal Panzade and Daniel Takabi. Towards Faster Functional Encryption for Privacy-preserving Machine Learning. 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. In Parallel, 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.
Honors and Awards:
Travel Grant Award - PPAI-24@The 38th Annual AAAI Conference on Artificial Intelligence 2024.
Travel Grant Award - IEEE Symposium on Security & Privacy 2022
5th place - World level Crypto Hackathon organized by FENTEC GROUP under the EU H2020 project in conjunction with the International Association for Cryptologic Research Real World Crypto Symposium 2021
Registration Grant Award- IEEE Symposium on Security and Privacy 2021
Registration Grant Award- ACM Conference on Computer and Communications Security (CCS) 2020
Registration Grant Award- 41st IEEE Symposium on Security and Privacy 2020
Professional Services:
IEEE Symposium on Security and Privacy 2024 - Posters Program Committee
IEEE Transactions on Computers - Reviewer
CAI @ IEEE TrustComm 2023 -Technical Program Committee
IEEE Symposium on Security and Privacy 2024 (IEEE S&P) - Web Chair
Network and Distributed System Security (NDSS) Symposium 2024 - Artifact Evaluation Committee
Privacy Enhancing Technologies Symposium 2024 (PETS) - Artifact
Review CommitteeIEEE Symposium on Security and Privacy 2023 (IEEE S&P) - Web Chair
Member of the Board of Studies at Government College of Engineering Amravati