memory-poisoning
ai-5node-mem-buf-lag-cpl-memory-poisoning-v0.1
What this repo does
This dataset models memory poisoning in AI agent systems. It detects when memory pressure, weakened validation buffer, governance lag in review, and tight coupling through shared state cross the five-node cascade threshold into an unrecoverable memory poisoning cascade.
This dataset models a five-node cascade: four interacting instability drivers and one emergent cascade state.The fifth node represents the nonlinear transition from recoverable drift to systemic… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ai-5node-mem-buf-lag-cpl-memory-poisoning-v0.1.memory-poisoning-attack-corpus
Memory Poisoning Attack Corpus
A curated dataset of adversarial payloads targeting AI agent memory systems, developed as part of the OWASP Agent Memory Guard project.
Dataset Description
This corpus contains labeled examples of memory poisoning attacks across six threat categories, plus benign entries for training binary and multi-class classifiers. Each entry represents a text payload that an attacker might attempt to store in an AI agent's long-term memory to… See the full description on the dataset page: https://huggingface.co/datasets/vgudur/memory-poisoning-attack-corpus.