adversarial-persona

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Strategy: Role-play attacks from hostile personas — competing lab researcher, hostile reviewer, funding skeptic, domain outsider — each with distinct attack motivations and blind spots.

AI & Automation 331 stars 25 forks Updated today Apache-2.0

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# Adversarial Persona Strategy Construct and deploy hostile personas that attack from distinct motivational frames. Each persona has unique expertise, biases, and attack patterns. ## Method 1. **persona-construction** builds detailed adversary profiles (background, motivation, expertise, blind spots) 2. Each persona attacks from their specific frame: - Hostile Reviewer: methodological rigor, statistical validity, novelty claims - Competing Lab: priority disputes, alternative approaches, resource efficiency - Funding Skeptic: impact claims, feasibility, timeline realism - Domain Outsider: jargon opacity, unstated assumptions, accessibility 3. **probe-execution** executes persona-specific attacks 4. Cross-persona findings compared to identify convergent vulnerabilities 5. **finding-aggregation** synthesizes across all persona perspectives ## Budget Table | Parameter | S | M | L | |---|---|---|---| | Attack vectors | 5 | 12 | 20 | | Probing rounds | 3 | 6 | 10 | | Personas | 2 | 4 | 6 | | Assumption checks | 5 | 10 | 20 | ## Orchestration ``` persona-construction → [build N personas per budget] → [for each persona]: attack-vector-generation (persona-specific vectors) → probe-execution (execute persona attacks) → finding-aggregation (cross-persona synthesis) → attack-resilience-scoring ``` ## Subagents - persona-construction (adversary profile building) - attack-vector-generation (persona-specific attack design) - probe-execution (persona attack execu...

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Author
yogsoth-ai
Repository
yogsoth-ai/de-anthropocentric-research-engine
Created
4 months ago
Last Updated
today
Language
HTML
License
Apache-2.0

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