Jev Prompt Injection
3 curated entries tagged prompt-injection.
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- 2GitHub starsAn automated framework that traces adversarial context through Jev-backed program decisions to downstream effects. Across 228 real-world Jev applications and 2,273 test cases, 81.5% show decision flips, 98.6% with potential security impact, and Decision Flip Rate beats the strongest baseline by 50.4 points.Jev Benchmarks & EvaluationsArticle#community#research#arxivCommunity
xiaoxiaohg8d/JevProbe-Python
- An evaluation of prompt injection against Jev's typed probabilistic decisions using 510 reconstructed InjecAgent cases. Malicious content shifts action probabilities but rarely flips Jev to the attacker's target; score-feedback attacks raise fresh-run success from 1.8% to 3.5%.Jev Practices & PatternsArticle#community#research#arxivCommunity
- 7GitHub starsFive self-contained Jev demos, one folder each: Jev fetching for Claude, Jev and Laya grading 500 AI answers, a prompt-injection review gate, and two fine-tuned decider comparisons against Jev.Jev Demos & Experiments#community#python#demosCommunity
mani-aiml/jev-demosPython
Jev articles
Original guides that mention Prompt Injection.
A decision model cannot be talked into generating text, but the label is still a target. Why narrow, literal questions resist injection and why keeping the act in code is the real backstop.
Jev Practices & Patterns#guardrails#security#prompt-injection
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