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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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Prompt engineering is the practice of designing, structuring, and refining the instructions given to a large...
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A vector database, also called a vector store, is a specialized data system designed to store and search vector...
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Malvertising is short for malicious advertising. It refers to the use of online ads to deliver malware to...
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