Signature filtering learns unreliable tokens with MILP and removes them at detection time, raising true positive rates from 8-31% to 78-99% across Kgw, Sweet, Unigram, and Exp watermarks on multiple corpora and LLMs while controlling false positives.
Unlimited Realm of Exploration and Experimentation
4 Pith papers cite this work, alongside 3 external citations. Polarity classification is still indexing.
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The paper introduces the first comprehensive taxonomy and visualization of 11 categories of technologies facilitating AI-generated non-consensual intimate images, derived from synthesis of primary sources and demonstrated through case studies.
Interviews with 28 AIG-SC creators show motivations spanning sexual exploration, creative expression, technical experimentation, and occasional production of non-consensual intimate imagery.
Analysis of 499 generative AI incidents shows use-related failures predominate and frequently harm non-users, producing a distinct risk profile from traditional AI.
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"Unlimited Realm of Exploration and Experimentation": Methods and Motivations of AI-Generated Sexual Content Creators
Interviews with 28 AIG-SC creators show motivations spanning sexual exploration, creative expression, technical experimentation, and occasional production of non-consensual intimate imagery.