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Data Confidentiality

Data Confidentiality

Data Confidentiality is the assurance that information is only accessible to authorized individuals and is not...

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Data Integrity

Data Integrity

Data Integrity is the assurance that information remains accurate, complete, and unaltered from its origin to its...

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Information System (IS)

Information System (IS)

Information Systems (IS) are the organized collection, processing, maintenance, transmission, and dissemination...

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Membership Inference Attack

Membership Inference Attack

A membership inference attack is a machine learning privacy attack in which an attacker tries to determine...

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Chain of Thought / Chain of Thought Prompting

Chain of Thought / Chain of Thought Prompting

Chain of thought, or chain of thought prompting, is a prompt engineering technique where the user asks an AI...

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Model Inversion Attack

Model Inversion Attack

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 Example / Adversarial Machine Learning

Adversarial Example / Adversarial Machine Learning (Adversarial ML) refers to techniques where attackers...

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Prompt Injection

Prompt Injection

Prompt injection is a class of attacks in which a malicious actor crafts inputs designed to manipulate a large...

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Large Language Model (LLM)

Large Language Model (LLM)

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)

Retrieval-Augmented Generation (RAG)

Retrieval-Augmented Generation (RAG) is an AI architecture pattern that combines a search or retrieval step with...

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Model Extraction Attack

Model Extraction Attack

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 (Poisoning Attack)

Data Poisoning (Poisoning Attack)

Data poisoning is an attack in which an adversary deliberately injects malicious, misleading, or biased data into...

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Testimonials

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