Open-source adversarial stress-testing platform for RPLAs with FastAPI backend and React dashboard¶
Product or Programme · All products and programmes
Evidence · 3 claims (3 for) · 1 study (1 causal),q2· 1 of 1 report an effect size · 3 claims rest on one study
Description¶
An open-source platform developed by Saqib Shouqi et al. for configuring, running, scoring, storing, replaying, and analyzing reproducible adversarial robustness benchmarks for role-playing language agents.
Components¶
Claims¶
- RPLA failures are temporally distributed: ethical violations are rare in the first three turns and become significantly more frequent after turn 6 [+W]
- Automated judging aligns strongly with three domain experts (r = 0.82 for role fidelity) but exhibits a conservative bias, scoring ethical deviation 0.08 points lower than humans [+W]
- Multi-strategy adversarial evaluation lowers RPLA robustness scores by 0.174–0.203 points relative to a single-strategy baseline across three personas [+W]
Related Products and Programmes¶
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Key Sources¶
- Saqib Shouqi, Abdullah Nazly, Januki Wanniarachchi, Ravisha De Alwis. (2026). Adversarial Stress Testing of Role-Playing Language Agents using Multi-Agent Evaluation. ADScAI Conference, University of Moratuwa, Sri Lanka. https://arxiv.org/abs/2608.03166
Page metadata
| Field | Value |
|---|---|
type |
product |
id |
open-source-adversarial-stress-testing-platform-for-rplas-with-fastapi-backend-and-react-d |
title |
Open-source adversarial stress-testing platform for RPLAs with FastAPI backend and React dashboard |
description |
An open-source platform developed by Saqib Shouqi et al. |
status |
review |
product_kind |
software |
generated |
by process:settle-candidates on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
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