Speech is among the most natural and convenient means of biometric authentication. The individual traits embedded in the speech signals form the basis of speaker recognition or voice authentication. With the widespread availability of speaker recognition and speech synthesis tools, the threat from malicious exploitation of speaker attributes is growing. For example, an attacker could retrieve a target speaker’s recordings from a breached data source with just a few seconds (e.g., 3 seconds) of their speech, leading to the leakage of privacy-related information such as age, interests, opinions, ethics, and health status. Utilizing VC and TTS techniques, synthetic speech can be generated to impersonate the target speaker. The synthesized speech can be exploited for malicious purposes, such as damaging the speaker’s reputation and manipulating public opinion. These voice privacy concerns have called for the need for techniques of voice anonymization, speech watermarking, and anti-spoofing, etc. In this panel, we invite world-leading experts to share their opinions on the security and privacy aspects in handling individual traits in speech, the challenges posed by the advancement in speaker recognizers and neural speech synthesizers, and the collaborative efforts that could be put together in answering the concerns and challenges.