  The current automatic speaker verification (ASV) task involves making binary
decisions on two types of trials: target and non-target. However, emerging
advancements in speech generation technology pose significant threats to the
reliability of ASV systems. This study investigates whether ASV effortlessly
acquires robustness against spoofing attacks (i.e., zero-shot capability) by
systematically exploring diverse ASV systems and spoofing attacks, ranging from
traditional to cutting-edge techniques. Through extensive analyses conducted on
eight distinct ASV systems and 29 spoofing attack systems, we demonstrate that
the evolution of ASV inherently incorporates defense mechanisms against
spoofing attacks. Nevertheless, our findings also underscore that the
advancement of spoofing attacks far outpaces that of ASV systems, hence
necessitating further research on spoofing-robust ASV methodologies.
