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.
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?
Code, training data, weights, and documents can have different terms. A blank declaration means unknown, not unrestricted use.
- Code
- MIT (repository LICENSE header; not a weights/data license)
- Data
- Not recorded
- Document
- Not recorded
- Weights
- Not recorded
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Primary evidence and verification
Source retrieval is separate from experiment reproduction. Use the original publication or publisher page when citing claims about the resource.
- editorial primary review
Retrieved 2026-10-18T10:59:55Z. Supports: name, kind, summary, environments, topics, scope, relations.
Content fingerprint
d69da19edaed185ad3071a97db3bb3fcfbdb14c0b514b7d27794b39fbe8e2541 - license header
Retrieved 2026-10-18T11:03:46Z. Supports: licenses.code.
Content fingerprint
240fb6820e7bcb0753617bcad6ffbd4a9ba83ca98e1e6aaa06c7b197b244bf16
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