Picture for Marcel Zalmanovici

Marcel Zalmanovici

Exploring Straightforward Conversational Red-Teaming

Add code
Sep 07, 2024
Viaarxiv icon

Generating Unseen Code Tests In Infinitum

Add code
Jul 29, 2024
Viaarxiv icon

Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations

Add code
Mar 09, 2024
Viaarxiv icon

Unveiling Safety Vulnerabilities of Large Language Models

Add code
Nov 07, 2023
Viaarxiv icon

Classifier Data Quality: A Geometric Complexity Based Method for Automated Baseline And Insights Generation

Add code
Dec 22, 2021
Figure 1 for Classifier Data Quality: A Geometric Complexity Based Method for Automated Baseline And Insights Generation
Figure 2 for Classifier Data Quality: A Geometric Complexity Based Method for Automated Baseline And Insights Generation
Figure 3 for Classifier Data Quality: A Geometric Complexity Based Method for Automated Baseline And Insights Generation
Figure 4 for Classifier Data Quality: A Geometric Complexity Based Method for Automated Baseline And Insights Generation
Viaarxiv icon

Automatically detecting data drift in machine learning classifiers

Add code
Nov 10, 2021
Figure 1 for Automatically detecting data drift in machine learning classifiers
Figure 2 for Automatically detecting data drift in machine learning classifiers
Figure 3 for Automatically detecting data drift in machine learning classifiers
Figure 4 for Automatically detecting data drift in machine learning classifiers
Viaarxiv icon

Density-based interpretable hypercube region partitioning for mixed numeric and categorical data

Add code
Nov 08, 2021
Figure 1 for Density-based interpretable hypercube region partitioning for mixed numeric and categorical data
Figure 2 for Density-based interpretable hypercube region partitioning for mixed numeric and categorical data
Figure 3 for Density-based interpretable hypercube region partitioning for mixed numeric and categorical data
Figure 4 for Density-based interpretable hypercube region partitioning for mixed numeric and categorical data
Viaarxiv icon

FreaAI: Automated extraction of data slices to test machine learning models

Add code
Aug 12, 2021
Figure 1 for FreaAI: Automated extraction of data slices to test machine learning models
Figure 2 for FreaAI: Automated extraction of data slices to test machine learning models
Figure 3 for FreaAI: Automated extraction of data slices to test machine learning models
Figure 4 for FreaAI: Automated extraction of data slices to test machine learning models
Viaarxiv icon

Machine Learning Model Drift Detection Via Weak Data Slices

Add code
Aug 11, 2021
Figure 1 for Machine Learning Model Drift Detection Via Weak Data Slices
Figure 2 for Machine Learning Model Drift Detection Via Weak Data Slices
Figure 3 for Machine Learning Model Drift Detection Via Weak Data Slices
Figure 4 for Machine Learning Model Drift Detection Via Weak Data Slices
Viaarxiv icon

Detection of data drift and outliers affecting machine learning model performance over time

Add code
Jan 20, 2021
Figure 1 for Detection of data drift and outliers affecting machine learning model performance over time
Figure 2 for Detection of data drift and outliers affecting machine learning model performance over time
Figure 3 for Detection of data drift and outliers affecting machine learning model performance over time
Figure 4 for Detection of data drift and outliers affecting machine learning model performance over time
Viaarxiv icon