Data Confidentiality is the assurance that information is only accessible to authorized individuals and is not...
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Data Integrity is the assurance that information remains accurate, complete, and unaltered from its origin to its...
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Information Systems (IS) are the organized collection, processing, maintenance, transmission, and dissemination...
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A membership inference attack is a machine learning privacy attack in which an attacker tries to determine...
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Chain of thought, or chain of thought prompting, is a prompt engineering technique where the user asks an AI...
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A model inversion attack is a machine learning privacy attack in which an attacker uses a model’s outputs to...
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Adversarial Example / Adversarial Machine Learning (Adversarial ML) refers to techniques where attackers...
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Prompt injection is a class of attacks in which a malicious actor crafts inputs designed to manipulate a large...
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A large language model (LLM) is a type of artificial intelligence model trained on massive volumes of text to...
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Retrieval-Augmented Generation (RAG) is an AI architecture pattern that combines a search or retrieval step with...
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A model extraction attack is a technique in which an adversary repeatedly queries a hosted machine learning or AI...
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Data poisoning is an attack in which an adversary deliberately injects malicious, misleading, or biased data into...
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