Empirical audit of LAION-2B-en and LAION-2B-multi finds overrepresentation of young adults, White people, and males plus stereotypical emotion associations across two attribute classifiers.
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3 Pith papers cite this work, alongside 24 external citations. Polarity classification is still indexing.
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UNVERDICTED 3representative citing papers
Fine-tuned RoBERTa models infer users' personality traits from real ChatGPT chat histories with accuracy better than random in multiple categories, including a +44% relative improvement for extraversion on relationship and reflection topics.
A literature review and industry survey on SDV security and privacy produces a framework for addressing mixed-criticality systems, layered defenses, privacy techniques, and harmonized vehicle-cloud protections.
citing papers explorer
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Unmasking LAION-5B: Age, Gender, Race, and Emotion Biases in Large-Scale Image Datasets
Empirical audit of LAION-2B-en and LAION-2B-multi finds overrepresentation of young adults, White people, and males plus stereotypical emotion associations across two attribute classifiers.
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Can LLMs Infer Conversational Agent Users' Personality Traits from Chat History?
Fine-tuned RoBERTa models infer users' personality traits from real ChatGPT chat histories with accuracy better than random in multiple categories, including a +44% relative improvement for extraversion on relationship and reflection topics.
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Contextualizing Security and Privacy of Software-Defined Vehicles: A Literature Review and Industry Perspectives
A literature review and industry survey on SDV security and privacy produces a framework for addressing mixed-criticality systems, layered defenses, privacy techniques, and harmonized vehicle-cloud protections.