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Articles tagged with #machinelearning
A single, well-crafted input can permanently corrupt the memory of an AI agent, causing it to produce toxic or misleading outputs for months, without any visible signs of compromise. The Problem import numpy as np from scipy import spatial class AI_...
In a shocking turn of events, a single LLM-powered bot was able to bypass a Fortune 500 company's security measures, successfully executing a social engineering attack that resulted in a significant data breach. The Problem The issue lies in the way...
A single maliciously crafted input can bring down an entire Retrieval-Augmented Generation (RAG) pipeline, exposing sensitive data and disrupting critical services. The Problem import numpy as np from sentence_transformers import SentenceTransformer ...
A single maliciously crafted document injected into a Retrieval-Augmented Generation (RAG) pipeline can alter the behavior of an AI agent, causing it to produce undesirable or even harmful output, all without being detected by traditional security me...
A single, well-crafted query can crash a Retrieval-Augmented Generation (RAG) pipeline, exposing sensitive data and crippling AI-powered applications. The Problem import numpy as np from sentence_transformers import SentenceTransformer # Vulnerable ...
A single, well-crafted prompt can bypass the entire security posture of an LLM-based AI agent, allowing attackers to extract sensitive information, manipulate user interactions, or even take control of the entire system. The Problem import transforme...