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Prajwal Panzade
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Detection of copy-move forgery using AKAZE and SIFT keypoint extraction
CS Prakash, PP Panzade, H Om, S Maheshkar
Multimedia Tools and Applications 78, 23535-23558, 2019
422019
Copy-move forgery detection by using HSV preprocessing and keypoint extraction
PP Panzade, CS Prakash, S Maheshkar
2016 Fourth International Conference on Parallel, Distributed and Grid …, 2016
122016
Towards Faster Functional Encryption for Privacy-preserving Machine Learning
P Panzade, D Takabi
The Third IEEE International Conference on Trust, Privacy and Security in …, 2021
92021
FENet: Privacy-preserving Neural Network Training with Functional Encryption
P Panzade, D Takabi
Proceedings of the 9th ACM International Workshop on Security and Privacy …, 2023
32023
I Can’t See It But I Can Fine-tune It: On Encrypted Fine-tuning of Transformers using Fully Homomorphic Encryption
P Panzade, D Takabi, Z Cai
PPAI-2024, The 38th Annual AAAI Conference on Artificial Intelligence 2024, 2024
12024
Privacy-Preserving Machine Learning Using Functional Encryption: Opportunities and Challenges
P Panzade, D Takabi, Z Cai
IEEE Internet of Things Journal, 2023
12023
Evaluating private artificial intelligence (AI) curriculum in computer science (CS) education: Insights for advancing student-centered CS learning
G Haddadian, P Panzade, D Takabi, M Kim
The 18th International Conference of the Learning Sciences/Computer …, 2024
2024
RobustSentEmbed: Robust Sentence Embeddings Using Adversarial Self-Supervised Contrastive Learning
JR Asl, P Panzade, E Blanco, D Takabi, Z Cai
NAACL findings 2024, 2024
2024
MedBlindTuner: Towards Privacy-preserving Fine-tuning on Biomedical Images with Transformers and Fully Homomorphic Encryption
P Panzade, D Takabi, Z Cai
W3PHIAI, The 38th Annual AAAI Conference on Artificial Intelligence 2024, 2024
2024
A Design Study of Problem-centered Instruction (PCI) for Private Artificial Intelligence (AI) Curriculum Development
G Haddadian, D Takabi, P Panzade, M Kim
Association for Educational Communications and Technology Conference, 2023
2023
Poster: Packing-aware Pruning for Efficient Private Inference based on Homomorphic Encryption
P Ghazvinian, R Podschwadt, P Panzade, MH Rafiei, D Takabi
IEEE Symposium on Security & Privacy, 2023
2023
Poster: Privacy-preserving Neural Network with Functional Encryption
P Panzade, D Takabi
IEEE Symposium on Security & Privacy, 2022
2022
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