Brian D. Colwell

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Category: Training Data Extraction

Membership Inference Attacks Leverage AI Model Behaviors

Posted on June 10, 2025June 10, 2025 by Brian Colwell

Not only are membership inference attacks practical, cost-effective, and widely applicable in real-world scenarios, but recent advances in generative AI, particularly Large Language Models (LLMs), create novel challenges for membership privacy that…

A Brief Taxonomy Of AI Membership Inference Attacks

Posted on June 10, 2025June 10, 2025 by Brian Colwell

In the below taxonomy, membership inference attacks are categorized by: target model, adversarial knowledge, attack approach, training method, and target domain. Target Model The target model category of this membership inference attack…

A Brief Taxonomy Of AI Membership Inference Defenses

Posted on June 10, 2025June 10, 2025 by Brian Colwell

In the below taxonomy, membership inference defenses are categorized as confidence masking, regularization, differential privacy, or knowledge distillation. Confidence Masking Confidence masking in machine learning is a technique where predictions with low…

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Recent Posts

  • Membership Inference Attacks Leverage AI Model Behaviors

    Membership Inference Attacks Leverage AI Model Behaviors

    June 10, 2025
  • A Brief Taxonomy Of AI Membership Inference Attacks

    A Brief Taxonomy Of AI Membership Inference Attacks

    June 10, 2025
  • The Bitter Reality Of AI Backdoor Attacks

    The Bitter Reality Of AI Backdoor Attacks

    June 10, 2025
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