Frameworks

AdvAgent (formerly AdvWeb)

Research code for constructing and evaluating adversarial inputs to web agents, with a black-box red-team pipeline using Mind2Web data and SeeAct.

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
Frameworks
Environment
web
Topics
safety-security, robustness, evaluation
Record publication date
Not recorded
Evidence retrieved
2026-10-17T09:18:18Z
Resource ID
github:ai-secure/advagent

What licenses are recorded?

Code, training data, weights, and documents can have different terms. A blank declaration means unknown, not unrestricted use.

Code
Not recorded
Data
Not recorded
Document
Not recorded
Weights
Not recorded

Recorded specifications

availability
Public research source and workflow documentation; no standalone trained checkpoint was verified.
repository revision
e01316e33d11ab145daa7cc7ec12d6ddb0bf38a0

Explore related topics

Safety & securityRobustnessEvaluation

Scope and limitations

The official GitHub API resolves AI-secure/AdvWeb to AI-secure/AdvAgent. Public data-generation, SFT/DPO training and evaluation scripts are present, with upstream data and external model APIs required. No repository license was found, and no permission for third-party data or model weights is inferred. The README citation block is empty, so no paper identifier is bound from title similarity alone.

Primary evidence and verification

Source retrieval is separate from experiment reproduction. Use the original publication or publisher page when citing claims about the resource.

  1. editorial primary review

    Retrieved 2026-10-17T09:18:18Z. Supports: name, kind, summary, environments, topics, scope, notes, relations, details.

    Content fingerprint019d45dd4c383f919f3ac2bf84c672500d63751a49de2dd2bac9c018ffc99881
  2. editorial primary review

    Retrieved 2026-10-17T09:18:17Z. Supports: identity.

    Content fingerprint3ea44a202a677c0beb744ab05bd687da93a83365b7eb0b7999c3a4c22d7e2608
  3. editorial primary review

    Retrieved 2026-10-17T09:18:33Z. Supports: release_status, licenses.code.

    Content fingerprint95929797eb0717ce26b26ccbdc752bfda18fc0070975b32f09827b4e9fec6ecf
  4. editorial primary review

    Retrieved 2026-10-17T09:17:48Z. Supports: identity.

    Content fingerprint3ea44a202a677c0beb744ab05bd687da93a83365b7eb0b7999c3a4c22d7e2608

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