NIST · ИТ · 170b5c22e2116e3d7cab
Attacks on ML Systems: From Security Risk Analysis to Attack Mitigation
The past several years have witnessed rapidly increasing use of machine learning (ML) systems in multiple industry sectors. Since risk analysis is one of the most essential parts of the real-world ML system protection practice, there is an urgent need to
NIST · ИТОфициальный источник · 2022-12-16
{
"title_en": "Attacks on ML Systems: From Security Risk Analysis to Attack Mitigation",
"designation": "",
"series": "",
"status": "",
"date": "2022-12-16",
"date_original": "December 16, 2022",
"url": "https://www.nist.gov/publications/attacks-ml-systems-security-risk-analysis-attack-mitigation",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Qingtian Zou, Lan Zhang, Anoop Singhal , Xiaoyan Sun, Peng Liu",
"abstract_excerpt_en": "The past several years have witnessed rapidly increasing use of machine learning (ML) systems in multiple industry sectors. Since risk analysis is one of the most essential parts of the real-world ML system protection practice, there is an urgent need to",
"id": "170b5c22e2116e3d7cab",
"sources": [
"NIST Publications"
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"source_records": [
{
"title_en": "Attacks on ML Systems: From Security Risk Analysis to Attack Mitigation",
"designation": "",
"series": "",
"status": "",
"date": "2022-12-16",
"date_original": "December 16, 2022",
"url": "https://www.nist.gov/publications/attacks-ml-systems-security-risk-analysis-attack-mitigation",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Qingtian Zou, Lan Zhang, Anoop Singhal , Xiaoyan Sun, Peng Liu",
"abstract_excerpt_en": "The past several years have witnessed rapidly increasing use of machine learning (ML) systems in multiple industry sectors. Since risk analysis is one of the most essential parts of the real-world ML system protection practice, there is an urgent need to"
}
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