Brian D. Colwell

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Category: Artificial Intelligence

Cloud Infrastructure Creates Vulnerabilities For AI Model Extraction

Posted on June 7, 2025June 7, 2025 by Brian Colwell

Cloud infrastructure vulnerabilities comprise security weaknesses in the cloud platforms and services that host machine learning models, which can be exploited to gain unauthorized access to model artifacts. Machine learning models deployed…

Model Deployment Creates Vulnerabilities For AI Model Extraction

Posted on June 7, 2025June 7, 2025 by Brian Colwell

Model Deployment Vulnerabilities are weaknesses in how models are deployed in production environments that can be exploited to extract model information or parameters. Production deployments often expose vulnerabilities, such as insufficient access…

What Are Equation-Solving Attacks?

Posted on June 7, 2025June 7, 2025 by Brian Colwell

Equation-Solving Attacks represent a specialized and powerful subset of extraction techniques that, while limited in scope to certain model types, achieves perfect extraction scores (100% replication) with only black-box access to the…

What Is Model Leeching?

Posted on June 7, 2025June 7, 2025 by Brian Colwell

Model Leeching is a Model Extraction attack in which an adversary siphons task-specific knowledge from a target large language model (LLM) by interacting with it solely through its public API (API Querying) – the…

Introduction To API Querying In AI Model Extraction

Posted on June 7, 2025June 7, 2025 by Brian Colwell

API Querying is a systematic approach where attackers send repeated inputs to a model hosted as a service and collect the corresponding outputs to reconstruct the model’s functionality. This is the most…

What Are Path-Finding Attacks?

Posted on June 7, 2025June 7, 2025 by Brian Colwell

Path-Finding is a specialized model extraction attack that targets tree-based machine learning models, such as decision trees and random forests, exploiting confidence values and using the rich information provided by APIs on…

An Introduction To AI Side-Channel Attacks

Posted on June 7, 2025June 7, 2025 by Brian Colwell

Side-Channel Attacks exploit unintended information leakage through observable physical or logical system behaviors such as memory usage, timing information, power consumption, or electromagnetic emissions. Rather than directly querying the model, these attacks…

An Introduction To Defenses For AI Side-Channel Attacks

Posted on June 7, 2025June 7, 2025 by Brian Colwell

A side-channel attack is a security exploit that targets information gained from the implementation of a system, rather than attacking the system’s functionality directly. These attacks extract sensitive information by observing the…

Recommendations To Anthropic On Claude’s Constitutional Principles

Posted on June 6, 2025June 6, 2025 by Brian Colwell

The primary sources Anthropic utilized in designing Claude’s Constitution include: The Universal Declaration of Human Rights (UDHR), Apple’s Terms Of Service, DeepMind’s Sparrow Rules, and Anthropic research sets 1 & 2. It…

What Are The Principles Upon Which The Constitution Of Anthropic’s Claude Is Built?

Posted on June 6, 2025June 6, 2025 by Brian Colwell

Below the reader will find Claude’s complete set of principles from ‘Claude’s Constitution’ dated May 9, 2023. Before we get into the principles, however, Anthropic wants to “emphasize that our current constitution…

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