Synthetic Data Generation via Multidimensional Multiset Sum
- Cynthia Dwork
- Kristjan Greenewald
- et al.
- 2024
- FORC 2024
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47 results for AI Privacy
Using Large Language Models to protect information search in Multi-Domain Operations
- Dinesh Verma
- David Beymer
- et al.
- 2024
- SPIE DCS 2024
Generating One-Hot Maps under Encryption
- Ehud Aharoni
- Nir Drucker
- et al.
- 2023
- CSCML 2023
Effective PII Guardrails for LLMs
- 2024
- WIDS 2024
Pragmatic De-Identification of Cross-Domain Unstructured Documents: A Utility-Preserving Approach with Relation Extraction Filtering
- 2024
- AMIA Informatics Symposium 2024
Privacy-Preserving Verification of Preprocessing in Machine Learning Models
- Wenbiao Li
- Anisa Halimi
- et al.
- 2024
- PETS 2024
Efficient Privacy-Preserving Viral Strain Classification via k-mer Signatures and FHE
- Adi Akavia
- Ben Galili
- et al.
- 2024
- RECOMB 2024
Privacy Preserving Feature Selection for Sparse Linear Regression on Gene Expression Data
- Adi Akavia
- Ben Galili
- et al.
- 2024
- RECOMB 2024
Re-evaluating the Privacy Benefit of Federated Learning
- Mohamed Suliman
- Douglas Leith
- et al.
- 2023
- ECML PKDD 2023
Robust Learning Protocol for Federated Tumor Segmentation Challenge
- 2022
- MICCAI 2022