Tootfinder

This framing doesn’t even touch the crucial forces of ego and identity formation and craving for belonging that are the bedrock of fascist movements like MAGA. Others are thinking productively about that, and it’s at least as important here!
That belief-as-identity phenomenon is also time-based. Somebody posted about those Young Republicans and their Telegram messages grooming and being groomed for fascism, and that’s right: it’s not just the existence of the fascist space; it’s the sustained process of drawing people in over time.
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Efficient Polynomial Identity Testing Over Nonassociative Algebras
Partha Mukhopadhyay, C Ramya, Pratik Shastri
https://arxiv.org/abs/2509.11349 https://ar…

Efficient Polynomial Identity Testing Over Nonassociative Algebras
We design the first efficient polynomial identity testing algorithms over the nonassociative polynomial algebra. In particular, multiplication among the formal variables is commutative but it is not associative. This complements the strong lower bound results obtained over this algebra by Hrubeš, Yehudayoff, and Wigderson (2010) and Fijalkow, Lagarde, Ohlmann, and Serre (2021) from the identity testing perspective. Our main results are the following: (1) We construct nonassociative algebras …

Make Identity Unextractable yet Perceptible: Synthesis-Based Privacy Protection for Subject Faces in Photos
Tao Wang, Yushu Zhang, Xiangli Xiao, Kun Xu, Lin Yuan, Wenying Wen, Yuming Fang
https://arxiv.org/abs/2509.11249

Make Identity Unextractable yet Perceptible: Synthesis-Based Privacy Protection for Subject Faces in Photos
Deep learning-based face recognition (FR) technology exacerbates privacy concerns in photo sharing. In response, the research community developed a suite of anti-FR methods to block identity extraction by unauthorized FR systems. Benefiting from quasi-imperceptible alteration, perturbation-based methods are well-suited for privacy protection of subject faces in photos, as they allow familiar persons to recognize subjects via naked eyes. However, we reveal that perturbation-based methods provide…

New: Podcast ep 204: Am I my things? When possessions define us: the psychological connection between identity, self-concept and hoarding with Dr Jan Eppingstall https://www.overcomecompulsivehoarding.co.uk/podcast-ep-204-ident…

Webinar: More Than Just Choice: How Religion, Race, and Identity Influence Food Decisions
https://ift.tt/q8bmM9Z
Mining the Logs: Sources on Blue Humor URL …
via Input 4 RELCFP https://

From Autoencoders to CycleGAN: Robust Unpaired Face Manipulation via Adversarial Learning
Collin Guo
https://arxiv.org/abs/2509.12176 https://arxiv.org/pdf…

From Autoencoders to CycleGAN: Robust Unpaired Face Manipulation via Adversarial Learning
Human face synthesis and manipulation are increasingly important in entertainment and AI, with a growing demand for highly realistic, identity-preserving images even when only unpaired, unaligned datasets are available. We study unpaired face manipulation via adversarial learning, moving from autoencoder baselines to a robust, guided CycleGAN framework. While autoencoders capture coarse identity, they often miss fine details. Our approach integrates spectral normalization for stable training, i…

Currently wondering what it feels like to work so hard on an open-licensed typeface only to have it co-opted by very terrible and very famous people as part of their core brand identity.

awww The way u talk abt identitytheft.gov makes me blushhhhh >///<

Webinar: More Than Just Choice: How Religion, Race, and Identity Influence Food Decisions
https://ift.tt/fJFYHPy
Mining the Logs: Sources on Blue Humor URL …
via Input 4 RELCFP https://

A Scalable, Privacy-Preserving Decentralized Identity and Verifiable Data Sharing Framework based on Zero-Knowledge Proofs
Hui Yuan
https://arxiv.org/abs/2510.09715 https://

A Scalable, Privacy-Preserving Decentralized Identity and Verifiable Data Sharing Framework based on Zero-Knowledge Proofs
With the proliferation of decentralized applications (DApps), the conflict between the transparency of blockchain technology and user data privacy has become increasingly prominent. While Decentralized Identity (DID) and Verifiable Credentials (VCs) provide a standardized framework for user data sovereignty, achieving trusted identity verification and data sharing without compromising privacy remains a significant challenge. This paper proposes a novel, comprehensive framework that integrates D…