| 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 | 49 | 2019 |
| 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 | 16 | 2021 |
| 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 | 13 | 2016 |
| Privacy-Preserving Machine Learning Using Functional Encryption: Opportunities and Challenges P Panzade, D Takabi, Z Cai IEEE Internet of Things Journal, 2023 | 11 | 2023 |
| RobustSentEmbed: Robust Sentence Embeddings Using Adversarial Self-Supervised Contrastive Learning JR Asl, P Panzade, E Blanco, D Takabi, Z Cai NAACL 2024, 2024 | 4 | 2024 |
| 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 | 4 | 2024 |
| 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 | 4 | 2023 |
| 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 | 2 | 2024 |
| BlindTuner: On Enhancement of Privacy-Preserving Fine-tuning of Transformers based on Homomorphic Encryption P Panzade, JR Asl, D Takabi, Z Cai IEEE Internet of Things Journal, 2025 | | 2025 |
| Problem-centered Post-secondary Computer Science Education: A Study of the Private Artificial Intelligence Curriculum G Haddadian, P Panzade, D Takabi, M Kim To appear in International Journal of Technology in Education, 2024 | | 2024 |
| MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference P Ghazvinian, R Podschwadt, P Panzade, MH Rafiei, D Takabi The Sixth IEEE International Conference on Trust, Privacy and Security in …, 2024 | | 2024 |
| 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 |
| Efficient Privacy-Preserving Machine Learning: From Training Neural Networks to Fine-Tuning Large Language Models P Panzade | | 2024 |
| 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 |
Daniel TakabiProfessor and Director of School of Cybersecurity, Old Dominion Universityodu.edu의 이메일 확인됨
Dr. Choudhary Shyam PrakashNational Institute of Technology Andhra Pradeshnitandhra.ac.in의 이메일 확인됨
Sushila MaheshkarAssistant Professornitdelhi.ac.in의 이메일 확인됨Zhipeng CaiProfessor, IEEE Fellow, DMACM, Georgia State Universitycs.gsu.edu의 이메일 확인됨
Hari Om Ph.D. JNUComputer Science & Engineering, IIT(ISM), Dhanbadismdhanbad.ac.in의 이메일 확인됨
Javad Rafiei AslResearch Assistant Professor at Old Dominion Universitystudent.gsu.edu의 이메일 확인됨
Eduardo BlancoUnviersity of Arizonaarizona.edu의 이메일 확인됨
Robert PodschwadtOld Dominion Universityodu.edu의 이메일 확인됨
Golnoush HaddadianGraduate Research Associate, Ph.D. Candidategsu.edu의 이메일 확인됨
Min Kyu KimAssociate Professor of Learning Sciences at Georgia State Universitygsu.edu의 이메일 확인됨
