Discussion Paper: The Integrity of Medical AI

نتاج البحث: فصل من :كتاب / تقرير / مؤتمرمنشور من مؤتمرمراجعة النظراء

ملخص

Deep learning has proven itself to be an incredible asset to the medical community. However, with offensive AI, the technology can be turned against medical community; adversarial samples can be used to cause misdiagnosis and medical deepfakes can be used fool both radiologists and machines alike. In this short discussion paper, we talk about the issue of offensive AI and from the perspective of healthcare. We discuss how defense researchers in this domain have responded to the threat and their the current challenges. We conclude by arguing that conventional security mechanisms are a better approach towards mitigating these threats over algorithm based solutions.

اللغة الأصليةإنجليزيّة أمريكيّة
عنوان منشور المضيفWDC 2022 - Proceedings of the 1st Workshop on Security Implications of Deepfakes and Cheapfakes
الصفحات31-33
عدد الصفحات3
رقم المعيار الدولي للكتب (الإلكتروني)9781450391788
المعرِّفات الرقمية للأشياء
حالة النشرنُشِر - 30 مايو 2022
الحدث1st ACM Workshop on Security Implications of Deepfakes and Cheapfakes, WDC 2022, co-located with ACM AsiaCCS 2022 - Virtual, Online, اليابان
المدة: ٣٠ مايو ٢٠٢٢ → …

سلسلة المنشورات

الاسمWDC 2022 - Proceedings of the 1st Workshop on Security Implications of Deepfakes and Cheapfakes

!!Conference

!!Conference1st ACM Workshop on Security Implications of Deepfakes and Cheapfakes, WDC 2022, co-located with ACM AsiaCCS 2022
الدولة/الإقليماليابان
المدينةVirtual, Online
المدة٣٠/٠٥/٢٢ → …

All Science Journal Classification (ASJC) codes

  • !!Computer Networks and Communications
  • !!Computer Science Applications
  • !!Information Systems
  • !!Software

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