Prajwal Panzade

According to our database, Prajwal Panzade authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Privacy-Preserving Machine Learning Using Functional Encryption: Opportunities and Challenges.

Prajwal Panzade, Daniel Takabi, Zhipeng Cai

IEEE Internet Things J., 2024

I can't see it but I can Fine-tune it: On Encrypted Fine-tuning of Transformers using Fully Homomorphic Encryption.

Prajwal Panzade, Daniel Takabi, Zhipeng Cai

CoRR, 2024

MedBlindTuner: Towards Privacy-preserving Fine-tuning on Biomedical Images with Transformers and Fully Homomorphic Encryption.

Prajwal Panzade, Daniel Takabi, Zhipeng Cai

CoRR, 2024

RobustSentEmbed: Robust Sentence Embeddings Using Adversarial Self-Supervised Contrastive Learning.

Javad Rafiei Asl, Prajwal Panzade, Eduardo Blanco, Daniel Takabi, Zhipeng Cai

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

2023

FENet: Privacy-preserving Neural Network Training with Functional Encryption.

Prajwal Panzade, Daniel Takabi

Proceedings of the 9th ACM International Workshop on Security and Privacy Analytics, 2023

2022

SoK: Privacy Preserving Machine Learning using Functional Encryption: Opportunities and Challenges.

Prajwal Panzade, Daniel Takabi

CoRR, 2022

2021

Towards Faster Functional Encryption for Privacy-preserving Machine Learning.

Prajwal Panzade, Daniel Takabi

Proceedings of the 3rd IEEE International Conference on Trust, 2021