expertise needed

software engineering

Requires general programming and system design skills

12 techniques
GoalsModelsData TypesDescription
Federated Learning
Algorithmic
Architecture/linear Models
Architecture/neural Networks
+4
Any
Federated learning trains one shared model across several parties, such as phones or hospitals, without collecting their...
Runtime Monitoring and Circuit Breakers
Algorithmic
Architecture/model Agnostic
Requirements/black Box
Any
Runtime monitoring and circuit breakers observe a deployed AI service and restrict model calls when configured signals...
MLflow Experiment Tracking
Process
Architecture/model Agnostic
Requirements/black Box
Any
MLflow Tracking is the part of the open-source MLflow platform that records each run of a machine learning training...
Data Version Control
Process
Architecture/model Agnostic
Requirements/black Box
Any
Data Version Control (DVC) is an open-source tool that records which version of a dataset or model was used at each...
API Usage Pattern Monitoring
Algorithmic
Architecture/model Agnostic
Requirements/black Box
Any
API usage pattern monitoring examines how each account uses a deployed model's API, to catch misuse that no single...
Model Extraction Defence Testing
Testing
Architecture/model Agnostic
Requirements/black Box
Any
Model extraction defence testing checks whether a model offered through a query interface, such as a prediction API, can...
Multi-Agent System Testing
Testing
Architecture/model Agnostic
Requirements/black Box
Any
Multi-agent system testing examines systems in which several AI agents act on shared tasks or resources, to find...
Model Signing
Algorithmic
Architecture/model Agnostic
Requirements/white Box
Any
Model signing lets the publisher of a machine-learning model attach a cryptographic signature to the model's files, so...
Signal Temporal Logic Monitoring
Algorithmic
Architecture/model Agnostic
Requirements/black Box
Time-series
Signal temporal logic (STL) monitoring checks the signals a system produces over time, such as speeds, distances,...
Metamorphic Testing
Testing
Architecture/model Agnostic
Requirements/black Box
Any
Metamorphic testing checks a model or AI system without needing the correct output for each test input, by checking that...
Explainer Latency Benchmarking
Testing
Architecture/model Agnostic
Requirements/black Box
Any
Explainer latency benchmarking measures how long an explanation method takes to produce an explanation for a single...
C2PA Content Credentials
Algorithmic
Architecture/model Agnostic
Paradigm/generative
+1
Image
Text
C2PA Content Credentials attach a signed provenance record, called a manifest, to a media file, so that whoever receives...
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