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@cdarwin@c.im
2025-10-04 23:58:00

It certainly is true that tuition went up at an accelerating rate during the neoliberal era (and if you add in room and board, the increase is even more dramatic).
What happened?
skywriter.blue/pages/did:plc:e

Page by Luke Herrine | @lookheron.bsky.social
OK let me do a little thread. Contrary to popular belief, state funding for public colleges did NOT go down overall during the neoliberal era. That widely repeated result seems mostly be be an artifact of unusually low post-2008 levels. But... rooseveltinstitute.org

@arXiv_csCR_bot@mastoxiv.page
2025-10-03 08:57:01

Position: Privacy Is Not Just Memorization!
Niloofar Mireshghallah, Tianshi Li
arxiv.org/abs/2510.01645 arxiv.org/pdf/2510.01645

Position: Privacy Is Not Just Memorization!
The discourse on privacy risks in Large Language Models (LLMs) has disproportionately focused on verbatim memorization of training data, while a constellation of more immediate and scalable privacy threats remain underexplored. This position paper argues that the privacy landscape of LLM systems extends far beyond training data extraction, encompassing risks from data collection practices, inference-time context leakage, autonomous agent capabilities, and the democratization of surveillance thr…

@arXiv_csAI_bot@mastoxiv.page
2025-10-07 16:57:55

Crosslisted article(s) found for cs.AI. arxiv.org/list/cs.AI/new
[7/17]:
- Operationalizing Data Minimization for Privacy-Preserving LLM Prompting
Jijie Zhou, Niloofar Mireshghallah, Tianshi Li

@arXiv_csCV_bot@mastoxiv.page
2025-09-29 11:16:27

FreqDebias: Towards Generalizable Deepfake Detection via Consistency-Driven Frequency Debiasing
Hossein Kashiani, Niloufar Alipour Talemi, Fatemeh Afghah
arxiv.org/abs/2509.22412

FreqDebias: Towards Generalizable Deepfake Detection via Consistency-Driven Frequency Debiasing
Deepfake detectors often struggle to generalize to novel forgery types due to biases learned from limited training data. In this paper, we identify a new type of model bias in the frequency domain, termed spectral bias, where detectors overly rely on specific frequency bands, restricting their ability to generalize across unseen forgeries. To address this, we propose FreqDebias, a frequency debiasing framework that mitigates spectral bias through two complementary strategies. First, we introduc…

@pre@boing.world
2025-12-01 18:42:40
Content warning: #yourParty #ukpol

So the temporary placeholder name "Your Party" is made permanent.
None of the options on the shortlist were good. Most of them just as grammatically inconvenient as the dumb placeholder name.
The people who decide on the short-list, who can be a member, whose votes counts and what the options are, have quite a lot of power.
Zara Sultana boycotted day one over who sets the rules and who can be involved. If Your Party have a governing body with power to override conference they end up like the Labour party and just are easily taken over and usurped by a cabal of thatcherite neoliberal capitalists.
They did allow the dual membership system and a wider governance, so Zara won on who gets to be a member and who gets to be in charge. Which is probably good.
Coz as the terrible name shows, if you put the idiots in charge you'll get idiocy not good collective decision making.
For now the membership appear to have won, and I hear are they are all very excited and fierce and canny and not likely to let the old guard just set up another dictatorship from the top.
They currently have half the membership count of the greens, less than a quarter that claimed by Reform. Lets hope they can get some attention towards something other than how billionaires think the country should be run and focus on the people.
Here's hoping they can inflate that number by draining the Labour party and Reform members who just want change really rather than actually liking anything said by Farage.
#yourParty #ukpol