Glossary
Data Poisoning
An attack against a machine learning system in which an adversary deliberately corrupts the training data to manipulate the model's behavior, such as creating a hidden backdoor or degrading its accuracy. Because models learn from whatever data they are given, poisoning attacks can be difficult to detect after the fact.
Recent coverage mentioning Data Poisoning
AI Vulnerability Surge: Enterprise Security Strategies
New research suggests the anticipated increase in AI vulnerabilities can be managed by enterprise security teams with effective strategies.
Mindgard Secures $30M to Advance AI Security Platform
Mindgard raises $30M Series A funding to scale its AI security and red-teaming platform, addressing novel attack surfaces in AI systems.
ChatGPT Secure Sandbox PoC Enables C2-Style Influence
A researcher demonstrated a proof-of-concept attack chain enabling C2-style influence over ChatGPT's secure sandbox environment.
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