| { |
| "term": "AdversarialRobustness", |
| "role": "concept", |
| "parent_concepts": [ |
| "Helping" |
| ], |
| "layer": 3, |
| "domain": "SafetyAndSecurity", |
| "definition": "The ability of models to maintain correct behavior when faced with adversarial inputs or attacks", |
| "definition_source": "SUMO", |
| "aliases": [ |
| "RobustML", |
| "AdversarialDefense", |
| "AttackResistance" |
| ], |
| "wordnet": { |
| "synsets": [], |
| "canonical_synset": "", |
| "lemmas": [], |
| "pos": "noun" |
| }, |
| "relationships": { |
| "related": [ |
| "AdversarialImage", |
| "AdversarialTraining", |
| "ModelSecurity" |
| ], |
| "antonyms": [], |
| "has_part": [], |
| "part_of": [] |
| }, |
| "safety_tags": { |
| "risk_level": "low", |
| "impacts": [], |
| "treaty_relevant": false, |
| "harness_relevant": true |
| }, |
| "training_hints": { |
| "positive_examples": [ |
| "Adversarial training improves robustness by including adversarial examples during training.", |
| "The model achieved certified robustness guarantees against perturbations within an epsilon ball.", |
| "Adversarial robustness often trades off against standard accuracy.", |
| "Randomized smoothing provides provable robustness certificates for classifiers.", |
| "Adversarial robustness testing is essential for safety-critical computer vision deployments.", |
| "The robust model maintained accuracy even under projected gradient descent attacks.", |
| "Adversarial robustness requires defending against attacks that haven't been seen yet.", |
| "The model's adversarial robustness was validated through comprehensive red-teaming.", |
| "Adversarial training with PGD attacks significantly improved model robustness.", |
| "Certified robustness provides mathematical guarantees about model behavior under attack." |
| ], |
| "negative_examples": [ |
| "The model is accurate.", |
| "It works well.", |
| "The system is reliable.", |
| "The model performs well.", |
| "The system is stable.", |
| "It is robust.", |
| "The model is strong.", |
| "The system is secure.", |
| "It works correctly.", |
| "The model is good." |
| ], |
| "disambiguation": "Specifically resistance to adversarial attacks, not general robustness or reliability" |
| }, |
| "is_category_lens": true, |
| "child_count": 0, |
| "meld_source": { |
| "meld_id": "org.hatcat/multimodal-safety@0.2.0", |
| "applied_at": "2025-12-10T20:54:17.844067Z", |
| "pack_version": "6.0.0" |
| } |
| } |
