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As machine learning (ML) techniques are being increasingly used in many applications, their vulnerability to adversarial attacks becomes well-known. Test time attacks, usually launched by adding adversarial noise to test instances, have been shown ef
Externí odkaz:
http://arxiv.org/abs/2110.10287
Autor:
Bhavani, M.1 bhavani8519@gmail.com, Reddy, L. Srinivas1
Publikováno v:
Trends in Finance & Economics. Jun2024, Vol. 2 Issue 2, p184-186. 3p.
Publikováno v:
Indian Journal of Animal Research. Aug2023, Vol. 57 Issue 8, p1066-1072. 7p.
Autor:
Sandhya Bhavani, M.1 sanjuri02@gmail.com, Kavitha, S.2, Nagarajan, B.1, Pazhanivel, N.3, Vairamuthu, S.4, Bhat, A. A.5
Publikováno v:
Iranian Journal of Veterinary Research. 2023, Vol. 24 Issue 1, p58-64. 7p.
Autor:
Srilakshmi, M., Fakruddin Babavali, S.K., Narendra, K., Kavitha, Ch., Durga Bhavani, M., Ratnakar, A.
Publikováno v:
In Materials Today: Proceedings 2021 46 Part 1:379-381