Tootfinder

@…
https://sfba.social/@bitterkarella/114627094456309304
Plus also all the other Lesbian Death Bed posts… @…

We in Game Workers Unite Ireland stand in solidarity with Animation Workers of Ireland, and the international trade union coalition happening to organise against the threat of AI in the animation industry, and we support their call to acton.
Join them Thursday 12 June at 14:00 at the Pâquier in Annecy!!
#Animation

Hate in Plain Sight: On the Risks of Moderating AI-Generated Hateful Illusions
Yiting Qu, Ziqing Yang, Yihan Ma, Michael Backes, Savvas Zannettou, Yang Zhang
https://arxiv.org/abs/2507.22617

Hate in Plain Sight: On the Risks of Moderating AI-Generated Hateful Illusions
Recent advances in text-to-image diffusion models have enabled the creation of a new form of digital art: optical illusions--visual tricks that create different perceptions of reality. However, adversaries may misuse such techniques to generate hateful illusions, which embed specific hate messages into harmless scenes and disseminate them across web communities. In this work, we take the first step toward investigating the risks of scalable hateful illusion generation and the potential for bypa…

😱 #Amazon übernimmt das Start-up #Bee, das ein tragbares Gerät entwickelt hat, das Gespräche mithört, transkribiert und als persönliche KI-Zusammenfassung aufbereitet.
Für 49,99 Dollar bietet Bee damit eine Art „Gedächtnisprotokoll“ am Handgelenk.
Die Nutzer können der KI Zugriff auf Kalender…

Amazon buys Bee AI wearable that listens to everything you say
Amazon is acquiring Bee, an AI startup that created a wrist-based device that listens to everything you say and creates AI-generated transcripts.

The Ethical Implications of AI in Creative Industries: A Focus on AI-Generated Art
Prerana Khatiwada, Joshua Washington, Tyler Walsh, Ahmed Saif Hamed, Lokesh Bhatta
https://arxiv.org/abs/2507.05549

The Ethical Implications of AI in Creative Industries: A Focus on AI-Generated Art
As Artificial Intelligence (AI) continues to grow daily, more exciting (and somewhat controversial) technology emerges every other day. As we see the advancements in AI, we see more and more people becoming skeptical of it. This paper explores the complications and confusion around the ethics of generative AI art. We delve deep into the ethical side of AI, specifically generative art. We step back from the excitement and observe the impossible conundrums that this impressive technology produces…

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains
Nicholas Chivaran, Jianbing Ni
https://arxiv.org/abs/2507.05162 https://

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains
The recent proliferation of photorealistic AI-generated images (AIGI) has raised urgent concerns about their potential misuse, particularly on social media platforms. Current state-of-the-art AIGI detection methods typically rely on large, deep neural architectures, creating significant computational barriers to real-time, large-scale deployment on platforms like social media. To challenge this reliance on computationally intensive models, we introduce LAID, the first framework -- to our knowle…

This https://arxiv.org/abs/2405.20771 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Towards Black-Box Membership Inference Attack for Diffusion Models
Given the rising popularity of AI-generated art and the associated copyright concerns, identifying whether an artwork was used to train a diffusion model is an important research topic. The work approaches this problem from the membership inference attack (MIA) perspective. We first identify the limitation of applying existing MIA methods for proprietary diffusion models: the required access of internal U-nets. To address the above problem, we introduce a novel membership inference attack metho…