Sonakshi Garg

According to our database, Sonakshi Garg authored at least 11 papers between 2022 and 2026.

Collaborative distances:

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

2026

PrunePrivyTune: Accelerating Language Models with Pruning and Differentially Private Fine-Tuning.

Sonakshi Garg, Vicenç Torra

Mach. Learn., May, 2026

2025

A stratified review of COVID-19 infection forecasting and an efficient methodology using multiple domain-based transfer learning.

Sandeep Kumar, Sonakshi Garg, Pranab K. Muhuri

Expert Syst. Appl., 2025

Using Prior Knowledge to Improve GANs for Tabular Data Without Compromising Privacy.

Sonakshi Garg, Marcel Neunhoeffer, Jörg Drechsler, Vicenç Torra

Proceedings of the Computer Security. ESORICS 2025 International Workshops, 2025

2024

Privacy in manifolds: Combining k-anonymity with differential privacy on Fréchet means.

Sonakshi Garg, Vicenç Torra

Comput. Secur., 2024

Can Synthetic Data Preserve Manifold Properties?

Sonakshi Garg, Vicenç Torra

Proceedings of the ICT Systems Security and Privacy Protection, 2024

Poisoning Attacks on Federated Learning for Autonomous Driving.

Sonakshi Garg, Hugo Jönsson, Gustav Kalander, Axel Nilsson, Bhhaanu Pirange, Viktor Valadi, Johan Östman

Proceedings of the 14th Scandinavian Conference on Artificial Intelligence SCAI 2024, 2024

Exploring Distribution Learning of Synthetic Data Generators for Manifolds.

Sonakshi Garg, Vicenç Torra

Proceedings of the Computer Security. ESORICS 2024 International Workshops, 2024

Task-Specific Knowledge Distillation with Differential Privacy in LLMs.

Sonakshi Garg, Vicenç Torra

Proceedings of the Computer Security - ESORICS 2024, 2024

2023

Fair Differentially Private Federated Learning Framework.

Ayush K. Varshney, Sonakshi Garg, Arka Ghosh, Sargam Gupta

CoRR, 2023

K-Anonymous Privacy Preserving Manifold Learning.

Sonakshi Garg, Vicenç Torra

Proceedings of the 20th International Conference on Security and Cryptography, 2023

2022

A novel approach for COVID-19 Infection forecasting based on multi-source deep transfer learning.

Sonakshi Garg, Sandeep Kumar, Pranab K. Muhuri

Comput. Biol. Medicine, 2022