eupolicy.social is one of the many independent Mastodon servers you can use to participate in the fediverse.
This Mastodon server is a friendly and respectful discussion space for people working in areas related to EU policy. When you request to create an account, please tell us something about you.

Server stats:

215
active users

#classifying

0 posts0 participants0 posts today
tuxwise 🇺🇦<p>(19/N) Let's now turn to the third question of the <a href="https://mastodon.de/tags/ThreatModelingManifesto" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ThreatModelingManifesto</span></a>: </p><p><strong>3. What are you going to do about it?</strong></p><p>It pays to first establish a few contraints for what you can do, in theory, by <a href="https://mastodon.de/tags/classifying" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>classifying</span></a> your <a href="https://mastodon.de/tags/assets" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>assets</span></a>. Again, for an individual human being, opposed to organizations or companies, it's nearly impossible to impose principles like <a href="https://mastodon.de/tags/ZeroTrust" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ZeroTrust</span></a> or <a href="https://mastodon.de/tags/NeedToKnow" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeedToKnow</span></a> on personal relationships, the closer they get.</p><p>So, avoid recycling terms from popular, but less intuitive schemes: Fanciful intelligence labels like “top secret”, “confidential”, or “unclassified” do not tell you what goes into the respective box, and how to handle access to it.</p><p>Add another column to your assets spreadsheet, label it "Classification", and pick a more human-centered approach for its values, like:</p><ul><li>🤐 For Your Eyes Only (FYEO)</li><li>🔒 Intimate</li><li>🚪 None Of Your Business (NOYB)</li><li>🤝 Shared</li><li>🫴 Public</li></ul><p>Let's briefly go through these suggestions:</p><p>🤐 For Your Eyes Only (FYEO)</p><p>Assets that are only accessible to, and controlled by nobody but you, because they need to be resilient, even in the face of the closest of your close people misbehaving. Preferably, these assets are kept publicly undetectable and unknown. When <em>you</em> are gone, these assets will be gone, too. FYEO does not make a good default class, though.</p><p>Start of this thread:<br><a href="https://mastodon.de/@tuxwise/113503228291818865" translate="no" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="ellipsis">mastodon.de/@tuxwise/113503228</span><span class="invisible">291818865</span></a></p><p><a href="https://mastodon.de/tags/ThreatModeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ThreatModeling</span></a> <a href="https://mastodon.de/tags/4D" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>4D</span></a></p>
Christof Schöch<p><span class="h-card" translate="no"><a href="https://fedihum.org/@cnDuKeli" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>cnDuKeli</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@tcdh" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>tcdh</span></a></span> </p><p>The approach they used for <a href="https://fedihum.org/tags/classifying" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>classifying</span></a> the poems' function in the narrative were interesting, using <a href="https://fedihum.org/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLMs</span></a>. Performance is pretty bad so far. Keli took up the call for <a href="https://fedihum.org/tags/openness" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>openness</span></a> about <a href="https://fedihum.org/tags/failure" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>failure</span></a> from a session this morning and showed that the different models are bad in different ways, which allowed the team (and us) to learn something about the models. I think that's great and valuable! </p><p><a href="https://fedihum.org/tags/ErrorAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ErrorAnalysis</span></a> <a href="https://fedihum.org/tags/ConfusionMatrix" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ConfusionMatrix</span></a> <a href="https://fedihum.org/tags/MajorityBaseline" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MajorityBaseline</span></a> <a href="https://fedihum.org/tags/DH2024" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DH2024</span></a></p>