Tootfinder

Lightweight CNN-Based Wi-Fi Intrusion Detection Using 2D Traffic Representations
Rayed Suhail Ahmad, Rehan Ahmad, Quamar Niyaz
https://arxiv.org/abs/2510.11898 https://

Lightweight CNN-Based Wi-Fi Intrusion Detection Using 2D Traffic Representations
Wi-Fi networks are ubiquitous in both home and enterprise environments, serving as a primary medium for Internet access and forming the backbone of modern IoT ecosystems. However, their inherent vulnerabilities, combined with widespread adoption, create opportunities for malicious actors to gain unauthorized access or compromise sensitive data stored on connected devices. To address these challenges, we propose a deep learning based network intrusion detection system (NIDS) for Wi-Fi environmen…

The evolution of influence operations
from crude Russian troll farms to sophisticated AI systems using large language models;
the discovery of GoLaxy documents revealing a "Smart Propaganda System" that collects millions of data points daily, builds psychological profiles, and generates resilient personas;
the fundamental challenges of measuring effectiveness;
GoLaxy's ties to Chinese intelligence agencies;
operations targeting Hong Kong's…

GPA 2025: AI development and human oversight of decisions involving AI systems were this year’s focus for Global Privacy regulators
https://fpf.org/blog/gpa-2025-ai-development-and-human-ov…

There were actually a lot of good recommendations from that Committee report, the one on PR was just the final one! Here's a few more.. including some that local #Fediverse proponents could dig into! @… was on the Committee.
—>FEDI ADVANTAGE<— “The Committee heard about a number of issues related to
the electoral information environment. Members recommend
that the provincial government collaborate with Elections
BC and the federal government to review existing legislative
and regulatory measures related to misinformation,
disinformation, and hate speech during elections, including
**mechanisms to ensure the timely removal of harmful content** (**emphasis added)”
—> FEDI ADVANTAGE<— “To better address challenges associated with social media and emergent technologies such as artificial intelligence, Members recommend establishing a working group to propose amendments to BC’s privacy and election legislation. To better protect all users, the Committee recommends requiring digital platforms to act with a duty of care and establish clear safety-related requirements such as data privacy, platform design, and content policy. The Committee also heard about concerns regarding foreign interference, and recommends that these be considered by the Electoral Integrity Working Group.”
—The Committee heard about the critical importance of
civic education to ensure the public’s understanding of
democratic institutions, processes, and participation. The
Committee recommends strengthening civic education
in the K-12 school system with input from experts and a
greater emphasis on applied learning.
— the Committee suggests enhancing data collection by requiring proactive enumeration on an annual basis and ensuring that registered parties and candidates can access poll-by-poll results. Elections BC should review and improve
voter registration practices and communication, as well as
access to and public awareness of voting opportunities. With respect to expanding voter eligibility, the Committee supports further examination of extending voting rights to 16- and 17-year-olds as well as permanent residents in BC.
— Committee Members recommend modernizing the candidate nominator verification process, requiring Elections BC to collect and share voters’ contact information with registered political parties and candidates, and strengthening measures related to access to multi-unit buildings for candidates and their campaigns.
Full report to the Legislature: #BCPoli #CanPoli #CdnPoli #ElectoralReform #Democracy #ProportionalRepresentation #Polarization

From The Conversation
Canada’s long history with public service media offers a useful model for thinking about how AI could serve the public.
A publicly funded AI system could draw on public-domain materials, government datasets and openly licensed cultural content. It could be offered as an open-source system, making it widely available to researchers, developers and everyday users alike.

Regularized Random Fourier Features and Finite Element Reconstruction for Operator Learning in Sobolev Space
Xinyue Yu, Hayden Schaeffer
https://arxiv.org/abs/2512.17884 https://arxiv.org/pdf/2512.17884 https://arxiv.org/html/2512.17884
arXiv:2512.17884v1 Announce Type: new
Abstract: Operator learning is a data-driven approximation of mappings between infinite-dimensional function spaces, such as the solution operators of partial differential equations. Kernel-based operator learning can offer accurate, theoretically justified approximations that require less training than standard methods. However, they can become computationally prohibitive for large training sets and can be sensitive to noise. We propose a regularized random Fourier feature (RRFF) approach, coupled with a finite element reconstruction map (RRFF-FEM), for learning operators from noisy data. The method uses random features drawn from multivariate Student's $t$ distributions, together with frequency-weighted Tikhonov regularization that suppresses high-frequency noise. We establish high-probability bounds on the extreme singular values of the associated random feature matrix and show that when the number of features $N$ scales like $m \log m$ with the number of training samples $m$, the system is well-conditioned, which yields estimation and generalization guarantees. Detailed numerical experiments on benchmark PDE problems, including advection, Burgers', Darcy flow, Helmholtz, Navier-Stokes, and structural mechanics, demonstrate that RRFF and RRFF-FEM are robust to noise and achieve improved performance with reduced training time compared to the unregularized random feature model, while maintaining competitive accuracy relative to kernel and neural operator tests.
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Shedeur Sanders, unlikely underdog, has a perfect opportunity in front of him https://www.nytimes.com/athletic/6825102/2025/11/21/browns-shedeur-sanders-starting-playing-raiders-nfl/