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Services/AI & Cybersecurity/Adversarial ML Defense

Adversarial ML Defense

Protect your strategic decision-making algorithms and production classifiers against poisoning, evasion, and model extraction.

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Machine Learning Pipeline Assessment

We map the data flow: from initial ingestion to training, validation, and production model inference.

Targeted Threats

Model Attack Vectors

Data Poisoning

Prevent attackers from introducing subtle false correlations into your training sets, which allows them to retain a permanent 'backdoor' in the model.

Adversarial Evasion

Protect your security filters, facial recognition models, or fraud classification pipelines from imperceptible input perturbations designed to knowingly deceive the model.

Model Theft

Block massive inference requests via API (model extraction) designed to cheaply duplicate the logical capabilities of your proprietary model using a surrogate system.

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