Item talk:Q226648

{

 "OpenAlex": {
   "display_name": "Adversarial Robustness in Deep Learning Models",
   "description": "This cluster of papers focuses on the robustness of deep learning models against adversarial attacks, exploring topics such as adversarial examples, security, uncertainty estimation, defenses, and verification. It delves into the challenges and potential solutions for ensuring the resilience of neural networks in the face of malicious inputs.",
   "keywords": [
     "Adversarial Examples",
     "Deep Learning",
     "Robustness",
     "Neural Networks",
     "Machine Learning",
     "Security",
     "Uncertainty Estimation",
     "Defenses",
     "Attack",
     "Verification"
   ],
   "ids": {
     "openalex": "https://openalex.org/T11689",
     "wikipedia": "https://en.wikipedia.org/wiki/Adversarial_machine_learning"
   },
   "subfield": {
     "id": "https://openalex.org/subfields/1702",
     "display_name": "Artificial Intelligence"
   },
   "field": {
     "id": "https://openalex.org/fields/17",
     "display_name": "Computer Science"
   },
   "domain": {
     "id": "https://openalex.org/domains/3",
     "display_name": "Physical Sciences"
   },
   "updated_date": "2024-08-12T05:20:53.329037",
   "created_date": "2024-01-23",
   "type": "topic",
   "oa_id": "T11689",
   "id": "https://openalex.org/T11689"
 }

}