A Practical Guide to Implementing AI Security Testing in Production

With AI now core to production systems, this guide outlines a four‑step, measurable, auditable approach—defining security boundaries, building lightweight test toolchains, creating explainable test cases, and establishing cross‑functional collaboration—backed by real‑world banking and healthcare deployments and concrete metrics.

AI securitybehavioral contractsci/cd

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A Practical Guide to Implementing AI Security Testing in Production

AntTech

Oct 31, 2022 · Artificial Intelligence

Automated Attacker A² for Enhancing Model Robustness in Adversarial Training

The paper presents A², an automated, parameterized attacker that dynamically adjusts perturbation methods and step sizes during adversarial training, demonstrating improved robustness across multiple benchmarks with modest computational overhead, and outlines future directions for further efficiency and effectiveness in secure AI systems.

Machine Learning SecurityNeurIPSadversarial training

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Automated Attacker A² for Enhancing Model Robustness in Adversarial Training