Benchmarks

MLA-Trust

Unified evaluation framework measuring truthfulness, controllability, safety, and privacy of multimodal LLM agents across interactive web and mobile GUI tasks.

AI-assisted editorial review against a primary source. This is a catalog annotation, not an independent reproduction or endorsement.

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What is this resource?

Resource type
Benchmarks
Environment
web, android, cross-platform
Topics
safety-security, evaluation, robustness
Record publication date
Not recorded
Evidence retrieved
2026-10-18T10:59:55Z
Resource ID
github:thu-ml/mla-trust

What licenses are recorded?

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Code
MIT (repository LICENSE header; not a weights/data license)
Data
Not recorded
Document
Not recorded
Weights
Not recorded

Explore related topics

Safety & securityEvaluationRobustness

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Primary evidence and verification

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  1. editorial primary review

    Retrieved 2026-10-18T10:59:55Z. Supports: name, kind, summary, environments, topics, scope, relations.

    Content fingerprintd69da19edaed185ad3071a97db3bb3fcfbdb14c0b514b7d27794b39fbe8e2541
  2. license header

    Retrieved 2026-10-18T11:03:46Z. Supports: licenses.code.

    Content fingerprint240fb6820e7bcb0753617bcad6ffbd4a9ba83ca98e1e6aaa06c7b197b244bf16

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