Sonakshi Garg

Orcid: 0000-0002-7204-8228

According to our database1, Sonakshi Garg authored at least 7 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Privacy in manifolds: Combining k-anonymity with differential privacy on Fréchet means.
Comput. Secur., 2024

Can Synthetic Data Preserve Manifold Properties?
Proceedings of the ICT Systems Security and Privacy Protection, 2024

Poisoning Attacks on Federated Learning for Autonomous Driving.
Proceedings of the 14th Scandinavian Conference on Artificial Intelligence SCAI 2024, 2024

Task-Specific Knowledge Distillation with Differential Privacy in LLMs.
Proceedings of the Computer Security - ESORICS 2024, 2024

2023
Fair Differentially Private Federated Learning Framework.
CoRR, 2023

K-Anonymous Privacy Preserving Manifold Learning.
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.
Comput. Biol. Medicine, 2022


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