Work

Quasi-Newton Adversarial Attacks on Speaker Verification Systems

Year: 2020

Type: conference-paper

Source: Institutional Repositories DataBase (IRDB)

Authors: Keita GOTO, Nakamasa Inoue

Institution: Tokyo Institute of Technology

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W3130210080

FWCI: 0.159

Cites: 25

Cited by: 2

Related to: 10