Ressources pour concevoir des services utiles et utilisables pour toutes et tous.

“Hover menus are inconsistent.“
Exemple de menu cliquable.

« J’avais envie d’honorer une vieille tradition geek : présenter mon réseau, son architecture, son contenu, etc. Deux objectifs sont poursuivis : un objectif de mémoire - un jour, je relirai cet article avec nostalgie… - et un objectif d’échange - si vous trouvez des infos intéressantes ici, ou si vous avez des idées d’amélioration. »

J’apprends que depuis la version 0.10, il est plus facile de débannir une IP ou l'ensemble des bans de toutes les jails où il est  :

> fail2ban unban --all
unbans all IP addresses (in all jails and database)

> fail2ban unban <IP> ... <IP>
unbans <IP> (in all jails and database)

• SPF helps servers verify that messages appearing to come from a particular domain are sent from servers authorized by the domain owner.
• DKIM adds a digital signature to every message. This lets receiving servers verify that messages aren't forged, and weren't changed during transit.
• DMARC enforces SPF and DKIM authentication, and lets admins get reports about message authentication and delivery.

SVG icons designed for products, no attribution needed.

Dans le même genre : https://teenyicons.com spécialement conçues pour être affichées en petite taille.

“The SAND Lab at University of Chicago has developed Fawkes, an algorithm and software tool (running locally on your computer) that gives individuals the ability to limit how their own images can be used to track them. At a high level, Fawkes takes your personal images, and makes tiny, pixel-level changes to them that are invisible to the human eye, in a process we call image cloaking. You can then use these "cloaked" photos as you normally would, sharing them on social media, sending them to friends, printing them or displaying them on digital devices, the same way you would any other photo. The difference, however, is that if and when someone tries to use these photos to build a facial recognition model, "cloaked" images will teach the model an highly distorted version of what makes you look like you. The cloak effect is not easily detectable, and will not cause errors in model training. However, when someone tries to identify you using an unaltered image of you (e.g. a photo taken in public), and tries to identify you, they will fail.”