Using Microsoft Counterfit to create adversarial examples for Husky AI
Summary
This post describes Microsoft Counterfit, a tool for testing machine learning models against adversarial attacks (subtle modifications to input data designed to fool AI systems). The author demonstrates how to set up Counterfit, create a custom target for a husky image classifier, and use the tool's built-in attack modules to test the model's robustness.
Classification
Affected Vendors
Related Issues
CVE-2024-37052: Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling
CVE-2026-26190: Milvus is an open-source vector database built for generative AI applications. Prior to 2.5.27 and 2.6.10, Milvus expose
Original source: https://embracethered.com/blog/posts/2021/huskyai-using-azure-counterfit/
First tracked: February 12, 2026 at 02:20 PM
Classified by LLM (prompt v3) · confidence: 75%