Human-Interpretable Adversarial Prompt Attack on Large Language Models with Situational Context — mentioned by Terr_

Wed, 29 Jul 2026 17:14:56 GMT

> obvious to human(s) involved That probably depends on limiting how many bytes/characters/tokens the attacker can somehow influence. I don't mean just in terms of the context-window, but also in training-data, where they can stage a complex/clearer payload that will await a smaller/subtler trigger. In other words, imagine the evil creeping in through ten thousand subtle alterations of word-choice and formatting, rather than one clear demand. Humans won't notice, even if we had time/energy to review it all. ________ For a more-concrete example, I found this [0] where they've taken a prompt…

Paper and discussion history. A mention is not an endorsement.

Human-Interpretable Adversarial Prompt Attack on Large Language Models with Situational Context · HackerPapers discussions

Human-Interpretable Adversarial Prompt Attack on Large Language Models with Situational Context — mentioned by Terr_