Brian D. Colwell

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Category: Artificial Intelligence

What Are AI Sensitive Information Disclosure Attacks? The Threat Landscape

Posted on June 8, 2025June 8, 2025 by Brian Colwell

The Open Worldwide Application Security Project (OWASP), a nonprofit organization focused on LLM security risk education, updated for 2025 its well-respected list ‘Top 10 for Large Language Model Applications’. Amongst OWASP’s top AI security…

Popular AI Model Inversion Attack Strategies

Posted on June 8, 2025June 8, 2025 by Brian Colwell

In general, it can be said that the success of model inversion attacks relies on a key observation: machine learning models encode statistical patterns from their training data that can be exploited…

A Brief Taxonomy Of AI Model Inversion Attacks

Posted on June 8, 2025June 8, 2025 by Brian Colwell

To execute model inversion attacks, attackers typically need a combination of capabilities and resources that vary significantly depending on the sophistication of the attack and the defenses in place. Query access to…

A Brief Introduction To AI Model Inversion Attacks

Posted on June 8, 2025June 8, 2025 by Brian Colwell

Model inversion attacks represent a significant, but manageable, privacy threat in the AI security landscape. These attacks exploit the intrinsic relationship between a trained model and its training data to reconstruct private…

The Big List Of AI Model Inversion Attack And Defense References And Resources

Posted on June 8, 2025June 10, 2025 by Brian Colwell

Note that the below are in alphabetical order. Enjoy! Thanks for reading!

A Brief Introduction To AI Prompt Injection Attacks

Posted on June 8, 2025 by Brian Colwell

The Open Worldwide Application Security Project (OWASP), a nonprofit organization focused on education “about the potential security risks when deploying and managing Large Language Models (LLMs) and Generative AI applications”, initiated its…

Defining The Token-level AI Jailbreaking Techniques

Posted on June 8, 2025June 8, 2025 by Brian Colwell

Token-level Jailbreaking optimizes the raw sequence of tokens fed into the LLM to elicit responses that violate the model’s intended behavior. Unlike prompt-level attacks that rely on semantic manipulation, token-level methods treat…

Defining The Prompt-Level AI Jailbreaking Techniques

Posted on June 8, 2025June 8, 2025 by Brian Colwell

Prompt-level attacks are considered social-engineering-based, semantically meaningful prompts which elicit objectionable content from LLMs, distinguishing them from token-level attacks that use mathematical optimization of raw token sequences. Now, let’s consider specific prompt-level…

A Brief Introduction To AI Jailbreaking Attacks

Posted on June 8, 2025June 8, 2025 by Brian Colwell

System prompts for LLMs don’t just specify what the model should do – they also include safeguards that establish boundaries for what the model should not do. “Jailbreaking,” a conventional concept in software systems…

The Big List Of AI Jailbreaking References And Resources

Posted on June 8, 2025June 8, 2025 by Brian Colwell

Note that the below are in alphabetical order by title. Please let me know if there are any sources you would like to see added to this list. Enjoy! Thanks for reading!

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