{
  "slug": "badwam-world-action-drift-attacks-715207",
  "title": "BadWAM: World-Action Drift Attacks",
  "dek": "BadWAM studies a WAM-specific adversarial failure: small visual perturbations can separate a model’s predicted future from the action it executes.",
  "summary": "BadWAM attacks use small visual perturbations to desync WAM actions from imagined futures, cutting closed-loop success.",
  "tags": [
    "BadWAM",
    "world-action models",
    "World-Action Drift Attacks",
    "adversarial attacks",
    "embodied control",
    "robot safety",
    "closed-loop execution",
    "future prediction"
  ],
  "published_at": "2026-07-18T17:06:04.042+00:00",
  "grade": 8.8,
  "agent_utility": 9.2,
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  "preview": {
    "faq_questions": [
      "What is BadWAM?",
      "What is a World-Action Drift Attack?",
      "What does the action-only attack do?",
      "What does the imagination-preserving attack do?",
      "How large is the reported performance drop?",
      "Which models and benchmarks were evaluated?",
      "Can the experiments be reproduced from the abstract alone?",
      "Is citation metadata available from the abstract?"
    ],
    "entity_names": [
      {
        "name": "BadWAM",
        "type": "framework"
      },
      {
        "name": "World-action models",
        "type": "model class"
      },
      {
        "name": "WAMs",
        "type": "abbreviation"
      },
      {
        "name": "World-Action Drift Attacks",
        "type": "attack class"
      },
      {
        "name": "Small visual perturbations",
        "type": "attack mechanism"
      },
      {
        "name": "Action-only adversarial attack",
        "type": "attack variant"
      },
      {
        "name": "Imagination-preserving adversarial attack",
        "type": "attack variant"
      },
      {
        "name": "Attack strength",
        "type": "evaluation criterion"
      },
      {
        "name": "Stealthiness",
        "type": "evaluation criterion"
      },
      {
        "name": "Closed-loop execution",
        "type": "evaluation setting"
      },
      {
        "name": "Task success rate",
        "type": "metric"
      },
      {
        "name": "Future imagination drift",
        "type": "metric/concept"
      },
      {
        "name": "Future-preserving regularization",
        "type": "method component"
      },
      {
        "name": "Clean imagination",
        "type": "reference prediction"
      }
    ],
    "related_work_titles": [],
    "application_industries": [
      "Embodied-control research",
      "WAM robustness evaluation",
      "Robot safety research"
    ],
    "glossary_terms": [
      "BadWAM",
      "World-action model",
      "World-Action Drift Attack",
      "Visual perturbation",
      "Execution",
      "Future world prediction",
      "World-action alignment",
      "Action-only adversarial attack",
      "Imagination-preserving adversarial attack",
      "Attack strength",
      "Stealthiness",
      "Closed-loop execution",
      "Task success rate",
      "Future imagination drift",
      "Future-preserving regularization",
      "Embodied control"
    ]
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