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#blackbox

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It dawned on me, many conflicts in UI/UX design philosophy boil down to Black Box vs White Box worldviews and an increasing focus/bias towards opaqueness...

On the one hand, there's the long illusive dream/goal of UI designers for their technological artifacts/products/services (esp. AI™ powered ones) to blend perfectly into their physical and human environment, be as autonomous & intuitive-to-use as possible, have as few controls/interfaces as possible (often minimalist brand aesthetics explicitly demand so), all whilst offering perfectly suited outcomes/actions from only minimal direct inputs, yet always with perfect prediction/predictability — DWIM (Do What I Mean) magic!

This approach mostly this comes with a large set of brushed-under-the-rug costs: Patronizing/dehumanizing the people intended to interact with the artifact, doubting/denying their intelligence, outright removal/limitation of user controls (usually misrepresented/celebrated as "simplicity"), relying on intense telemetry/surveillance/tracking, enforced 24/7 connectivity, increased energy usage and all the resulting skewed incentives for monetization which actually have nothing to do with the original purpose of the artifact...

In contrast, the White/Clear Box approach offers the artifact with full transparency (and control) of the inner workings of the system. Because of this it only works (great) for smaller, human scale domains/contexts, but due to the out-of-bounds complexity of our surrounding contemporary tech stack, these days this very quickly just means Welcome to Configuration Hell (Dante says "ciao!")...

(So in the end: Choose your own hellscape... :)

#NoteToSelf#UI#UX

Practical Black-Box Attacks against Machine Learning

arxiv.org/abs/1602.02697

Nicolas Papernot, Patrick McDaniel, Ian Goodfellow, Somesh Jha, Z. Berkay Celik, Ananthram Swami

arXiv logo
arXiv.orgPractical Black-Box Attacks against Machine LearningMachine learning (ML) models, e.g., deep neural networks (DNNs), are vulnerable to adversarial examples: malicious inputs modified to yield erroneous model outputs, while appearing unmodified to human observers. Potential attacks include having malicious content like malware identified as legitimate or controlling vehicle behavior. Yet, all existing adversarial example attacks require knowledge of either the model internals or its training data. We introduce the first practical demonstration of an attacker controlling a remotely hosted DNN with no such knowledge. Indeed, the only capability of our black-box adversary is to observe labels given by the DNN to chosen inputs. Our attack strategy consists in training a local model to substitute for the target DNN, using inputs synthetically generated by an adversary and labeled by the target DNN. We use the local substitute to craft adversarial examples, and find that they are misclassified by the targeted DNN. To perform a real-world and properly-blinded evaluation, we attack a DNN hosted by MetaMind, an online deep learning API. We find that their DNN misclassifies 84.24% of the adversarial examples crafted with our substitute. We demonstrate the general applicability of our strategy to many ML techniques by conducting the same attack against models hosted by Amazon and Google, using logistic regression substitutes. They yield adversarial examples misclassified by Amazon and Google at rates of 96.19% and 88.94%. We also find that this black-box attack strategy is capable of evading defense strategies previously found to make adversarial example crafting harder.

RealTime-Cinema // Echtzeitkino mit
Jan Klare & „tunnel & meadow“ (Musik) und Ach Kuhzunft (Visuals)

7. Februar
blackbox Münster
19:30 Uhr

tunnel & meadow sind:
Jan Klare – reeds
Serge Corteyn – guitar
Johannes Nebel – bass
Marvin Blamberg – drums

Eine Kooperation von cuba kultur und schwarz-weiss ist die bessere farbe.
Gefördert vom Kulturamt der Stadt Münster.

#live#music#jazz

He estado probando un rato el modelo #qwenlm que han publicado recientemente los de #Alibaba. Veo poca ventaja respecto por ejemplo de los modelos que te permite utilizar sin login blackbox.ia, que le gana claramente en el apartado de código.

Aparte que qwemlm es una pesadilla de privacidad. Al contrario que #blackbox, no permite ejecutarse en el navegador con seguridad/privacidad reforzada #Mullvad y ublock capa casi 200 scripts, lo que la convierte en una pesadilla de privacidad. ¡Huyan!

Mystery Deepens as Black Boxes Fail to Capture Final Moments of South Korea's Deadliest Air Disaster

In a tragic turn of events, the flight recorders from the Jeju Air flight that crashed in South Korea last month ceased functioning just minutes before the disaster. With 179 lives lost and only two s...

news.lavx.hu/article/mystery-d

Mystery Deepens as Black Boxes Fail to Capture Final Moments of South Korea's Deadliest Air Disaster

In a tragic turn of events, the flight recorders from the Jeju Air flight that crashed in South Korea last month ceased functioning just minutes before the disaster. With 179 lives lost and only two s...

news.lavx.hu/article/mystery-d

"Meta, moederbedrijf Instagram en Facebook stopt met #factcheck-ers."

Ik maak geen gebruik van #bigtech platforms en ben niet afhankelijk van hun #moderatie.

Daarom is #mastodon zo mooi. Een #federatie van instances die zelf hun moderatie bepalen.

En ieder zou een eigen instance kunnen opzetten. Een uitstekende balans van moderatie en #vrijheid van #meningsuiting (#vvmu) wordt zo bereikt.

#centraal vs #decentraal
#blackbox vs #opensource
#bigtech vs #community

nrc.nl/nieuws/2025/01/07/moede

Mark Zuckerberg tijdens een Metaconferentie in september 2024.
NRC · Moederbedrijf Instagram en Facebook stopt met factcheckersBy Marloes de Koning