Keystroke Dynamics enables the authentication or identification of users by analyzing their way of typing, e.g. when browsing the Internet. Most studies in the state of the art focus on increasing Keystroke Dynamics Sys- tems performances. In this paper, we address the problematic of avoiding the biometric capture of keystroke dynamics in order to protect users’ privacy. Authentication/identification, profiling can be considered as at- tacks we limit in this contribution. Experimental results obtained on significant datasets show the benefits of the proposed approaches.