Adversarial attacks on medical machine learning

被引：477
|
作者：
Finlayson, Samuel G. [1 ]
Bowers, John D. [2 ]
Ito, Joichi [3 ]
Zittrain, Jonathan L. [2 ]
Beam, Andrew L. [4 ]
Kohane, Isaac S. [1 ]
机构：
[1] Harvard Med Sch, Boston, MA 02115 USA
[2] Harvard Law Sch, Cambridge, MA 02138 USA
[3] MIT, Media Lab, Cambridge, MA 02139 USA
[4] Harvard TH Chan Sch Publ Hlth, Boston, MA 02115 USA
来源：
SCIENCE | 2019年 / 363卷 / 6433期
关键词：
D O I：
10.1126/science.aaw4399
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
[No abstract available]
引用
收藏
页码：1287 / 1289
页数：3
相关论文
共 50 条
  • [1] Enablers Of Adversarial Attacks in Machine Learning
    Izmailov, Rauf
    Sugrim, Shridatt
    Chadha, Ritu
    McDaniel, Patrick
    Swami, Ananthram
    [J]. 2018 IEEE MILITARY COMMUNICATIONS CONFERENCE (MILCOM 2018), 2018, : 425 - 430
  • [2] Adversarial Machine Learning Protection Using the Example of Evasion Attacks on Medical Images
    E. A. Rudnitskaya
    M. A. Poltavtseva
    [J]. Automatic Control and Computer Sciences, 2022, 56 : 934 - 941
  • [3] Adversarial Machine Learning Protection Using the Example of Evasion Attacks on Medical Images
    Rudnitskaya, E. A.
    Poltavtseva, M. A.
    [J]. AUTOMATIC CONTROL AND COMPUTER SCIENCES, 2022, 56 (08) : 934 - 941
  • [4] Detection of adversarial attacks on machine learning systems
    Judah, Matthew
    Sierchio, Jen
    Planer, Michael
    [J]. ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR MULTI-DOMAIN OPERATIONS APPLICATIONS V, 2023, 12538
  • [5] Safe Machine Learning and Defeating Adversarial Attacks
    Rouhani, Bita Darvish
    Samragh, Mohammad
    Javidi, Tara
    Koushanfar, Farinaz
    [J]. IEEE SECURITY & PRIVACY, 2019, 17 (02) : 31 - 38
  • [6] Federated Machine Learning in Medical imaging and against Adversarial Attacks: A retrospective multicohort study
    Teo, Zhen Ling
    Zhang, Xiaoman
    Tan, Ting Fang
    Ravichandran, Narrendar
    Yong, Liu
    Ting, Daniel S. W.
    [J]. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2023, 64 (08)
  • [7] Handling the adversarial attacks: A machine learning's perspective
    Cao, Ning
    Li, Guofu
    Zhu, Pengjia
    Sun, Qian
    Wang, Yingying
    Li, Jing
    Yan, Maoling
    Zhao, Yongbin
    [J]. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2019, 10 (08) : 2929 - 2943
  • [8] Adversarial Machine Learning Attacks in Internet of Things Systems
    Kone, Rachida
    Toutsop, Otily
    Thierry, Ketchiozo Wandji
    Kornegay, Kevin
    Falaye, Joy
    [J]. 2022 IEEE APPLIED IMAGERY PATTERN RECOGNITION WORKSHOP, AIPR, 2022,
  • [9] Adversarial attacks on machine learning-aided visualizations
    Fujiwara, Takanori
    Kucher, Kostiantyn
    Wang, Junpeng
    Martins, Rafael M.
    Kerren, Andreas
    Ynnerman, Anders
    [J]. JOURNAL OF VISUALIZATION, 2024,
  • [10] Robust in practice: Adversarial attacks on quantum machine learning
    Liao, Haoran
    Convy, Ian
    Huggins, William J.
    Whaley, K. Birgitta
    [J]. PHYSICAL REVIEW A, 2021, 103 (04)
12345