Privacy-Preserving Verification of Preprocessing in Machine Learning Models
- Wenbiao Li
- Anisa Halimi
- et al.
- 2024
- PETS 2024
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705 results for Trustworthy AI
AutoPeptideML: A study on how to build more trustworthy peptide bioactivity predictors
- Raúl Fernández Díaz
- Rodrigo Cossio-pérez
- et al.
- 2024
- ISMB 2024
Effect of dataset partitioning strategies for evaluating out-of-distribution generalisation for predictive models in biochemistry
- 2024
- ISMB 2024
Effective In-Silico Gene Perturbation by Machine Learning Model Interpretation for Immunotherapies
- Tanwi Biswas
- Akira Koseki
- et al.
- 2024
- ISMB 2024
Discovering Intrinsic PK/PD Models Using Physics Informed Neural Networks
- Imran Nasim
- Adam Nasim
- et al.
- 2024
- PAGE-Meeting 2024
Effect of dataset partitioning strategies for evaluating out-of-distribution generalisation for predictive models in biochemistry
- 2024
- MoML 2024
Leveraging Large Language Models for Natural Language to SQL Conversion
- Noah Hampp
- Katya Mirylenka
- 2024
- MML 2024
An Introduction to Geospatial Foundation Model
- 2024
- JpGU 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