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Proposals for model vulnerability and security

O'Reilly on Data

MARCH 20, 2019

The objective here is to brainstorm on potential security vulnerabilities and defenses in the context of popular, traditional predictive modeling systems, such as linear and tree-based models trained on static data sets. Data poisoning attacks. To poison data, an attacker must have access to some or all of your training data.

Modeling

Modeling Machine Learning Predictive Modeling Consulting

Scale knowledge management use cases with generative AI

IBM Big Data Hub

JULY 27, 2023

Request a demo to see how watsonx can put AI to work There’s no AI, without IA AI is only as good as the data that informs it, and the need for the right data foundation has never been greater. According to IDC, stored data is expected to grow up to 250% over the next 5 years.

Management

Management Enterprise Modeling Data Quality

Data Leaders Brief

Proposals for model vulnerability and security

Scale knowledge management use cases with generative AI

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