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Journal Articles
- 2025
[j3]Sandeep Kumar
, Sonakshi Garg, Pranab K. Muhuri:
A stratified review of COVID-19 infection forecasting and an efficient methodology using multiple domain-based transfer learning. Expert Syst. Appl. 262: 125277 (2025)- 2024
- [j2]Sonakshi Garg, Vicenç Torra:
Privacy in manifolds: Combining k-anonymity with differential privacy on Fréchet means. Comput. Secur. 144: 103983 (2024) - 2022
- [j1]Sonakshi Garg, Sandeep Kumar, Pranab K. Muhuri:
A novel approach for COVID-19 Infection forecasting based on multi-source deep transfer learning. Comput. Biol. Medicine 149: 105915 (2022)
Conference and Workshop Papers
- 2024
- [c4]Sonakshi Garg, Vicenç Torra:
Task-Specific Knowledge Distillation with Differential Privacy in LLMs. ESORICS (2) 2024: 374-389 - [c3]Sonakshi Garg, Hugo Jönsson, Gustav Kalander, Axel Nilsson, Bhhaanu Pirange, Viktor Valadi, Johan Östman:
Poisoning Attacks on Federated Learning for Autonomous Driving. SCAI 2024: 11-18 - [c2]Sonakshi Garg, Vicenç Torra:
Can Synthetic Data Preserve Manifold Properties? SEC 2024: 134-147 - 2023
- [c1]Sonakshi Garg, Vicenç Torra:
K-Anonymous Privacy Preserving Manifold Learning. SECRYPT 2023: 37-48
Informal and Other Publications
- 2024
- [i2]Sonakshi Garg, Hugo Jönsson, Gustav Kalander, Axel Nilsson, Bhhaanu Pirange, Viktor Valadi, Johan Östman:
Poisoning Attacks on Federated Learning for Autonomous Driving. CoRR abs/2405.01073 (2024) - 2023
- [i1]Ayush K. Varshney, Sonakshi Garg, Arka Ghosh, Sargam Gupta:
Fair Differentially Private Federated Learning Framework. CoRR abs/2305.13878 (2023)
Coauthor Index
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last updated on 2025-01-07 01:25 CET by the dblp team
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