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Umeå universitet
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Huvudmenyn dold.

Sonakshi Garg

Kontakt

E-post
sonakshi.garg@umu.se

Verksam som

Anknytning
Övrig/annan befattning vid Institutionen för datavetenskap
Plats
MIT-huset, Umeå universitet, MIT.A.420 Umeå universitet, 901 87 Umeå
Using prior knowledge to improve GANs for tabular data without compromising privacy
Computer Security. ESORICS 2025 International Workshops: DPM 2025, CBT 2025, CyberICPS 2025, Toulouse, France, September 25–26, 2025, Revised Selected Papers, Part I, Cham: Springer 2026 : 137-153
Garg, Sonakshi; Neunhoeffer, Marcel; Drechsler, Jörg; et al.
PrunePrivyTune: accelerating language models with pruning and differentially private fine-tuning
Machine Learning, Springer Nature 2026, Vol. 115, (5)
Garg, Sonakshi; Torra, Vicenç
Bridging AI and privacy: solutions for high-dimensional data and foundation models
Report / UMINF, 25.08
Garg, Sonakshi
Exploring distribution learning of synthetic data generators
Computer Security. ESORICS 2024 International Workshops, Springer Nature 2025 : 65-76
Garg, Sonakshi; Torra, Vicenç
A stratified review of COVID-19 infection forecasting and an efficient methodology using multiple domain-based transfer learning
Expert systems with applications, Elsevier 2025, Vol. 262
Kumar, Sandeep; Garg, Sonakshi; Muhuri, Pranab K.
Poisoning attacks on federated learning for autonomous driving
14th Scandinavian Conference on Artificial Intelligence SCAI 2024, June 10-11, 2024, Jönköping, Sweden, Linköping University Electronic Press 2024 : 11-18
Garg, Sonakshi; Jönsson, Hugo; Kalander, Gustav; et al.
Can synthetic data preserve manifold properties?
ICT systems security and privacy protection: 39th IFIP international conference, SEC 2024, Edinburgh, UK, June 12–14, 2024, proceedings, Cham: Springer 2024 : 134-147
Garg, Sonakshi; Torra, Vicenç
Task-specific knowledge distillation with differential privacy in LLMs
Computer Security – ESORICS 2024: 29th European Symposium on Research in Computer Security, Bydgoszcz, Poland, September 16–20, 2024, Proceedings, Part II, Springer Science+Business Media B.V. 2024 : 374-389
Garg, Sonakshi; Torra, Vicenç
Privacy in manifolds: combining k-anonymity with differential privacy on Fréchet means
Computers & Security, Elsevier 2024, Vol. 144
Garg, Sonakshi; Torra, Vicenç
K-anonymous privacy preserving manifold learning
Proceedings of the 20th international conference on security and cryptography: SECRYPT 2023, SciTePress 2023 : 37-48
Garg, Sonakshi; Torra, Vicenç
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