⌕ Поиск по атласу

NIST · ИТ · 02f33d6da998e33161d1

02f33d6da998e33161d1 · Designing Trojan Detectors in Neural Networks Using Interactive Simulations

Designing Trojan Detectors in Neural Networks Using Interactive Simulations

This paper addresses the problem of designing trojan detectors in neural networks (NNs) using interactive simulations. Trojans in NNs are defined as triggers in inputs that cause misclassification of such inputs into a class (or classes) unintended by the

Официальный источник · 2021-02-20

Полные импортированные сведения карточки
{
  "title_en": "Designing Trojan Detectors in Neural Networks Using Interactive Simulations",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2021-02-20",
  "date_original": "February 20, 2021",
  "url": "https://www.nist.gov/publications/designing-trojan-detectors-neural-networks-using-interactive-simulations",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Peter Bajcsy , Nicholas J. Schaub, Michael P. Majurski",
  "abstract_excerpt_en": "This paper addresses the problem of designing trojan detectors in neural networks (NNs) using interactive simulations. Trojans in NNs are defined as triggers in inputs that cause misclassification of such inputs into a class (or classes) unintended by the",
  "id": "02f33d6da998e33161d1",
  "sources": [
    "NIST Publications"
  ],
  "source_records": [
    {
      "title_en": "Designing Trojan Detectors in Neural Networks Using Interactive Simulations",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2021-02-20",
      "date_original": "February 20, 2021",
      "url": "https://www.nist.gov/publications/designing-trojan-detectors-neural-networks-using-interactive-simulations",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Peter Bajcsy , Nicholas J. Schaub, Michael P. Majurski",
      "abstract_excerpt_en": "This paper addresses the problem of designing trojan detectors in neural networks (NNs) using interactive simulations. Trojans in NNs are defined as triggers in inputs that cause misclassification of such inputs into a class (or classes) unintended by the"
    }
  ],
  "translation_state": "none"
}