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20232026
most citedWho's in and who's out? A case study of multimodal CLIP-filtering in DataComp

10 citations · 13 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.CY2026

Characterizing Resource Sharing Practices on Underground Internet Forum Synthetic Non-Consensual Intimate Image Content Creation Communities

Bernardo B. P. Medeiros, Malvika Jadhav, Allison Lu +3

Many malicious actors responsible for disseminating synthetic non-consensual intimate imagery (SNCII) operate within internet forums to exchange resources, strategies, and generate…

cs.CY2026

Examining Risks Through a Characterization of the AI Companion Application Ecosystem: A Stratified Sample from the Apple App Store and Google Play Store

Natalie Grace Brigham, Lucy Qin, Tadayoshi Kohno

While computer systems that allow users to interact through conversational natural language (i.e., chatbots) have existed for many years, various types of applications offering AI…

cs.CY2024

Who's in and who's out? A case study of multimodal CLIP-filtering in DataComp

Rachel Hong, William Agnew, Tadayoshi Kohno +1

As training datasets become increasingly drawn from unstructured, uncontrolled environments such as the web, researchers and industry practitioners have increasingly relied upon da…

cs.CY2024

Particip-AI: A Democratic Surveying Framework for Anticipating Future AI Use Cases, Harms and Benefits

Jimin Mun, Liwei Jiang, Jenny Liang +5

General purpose AI, such as ChatGPT, seems to have lowered the barriers for the public to use AI and harness its power. However, the governance and development of AI still remain i…

cs.CY20231 cited

The Case for Anticipating Undesirable Consequences of Computing Innovations Early, Often, and Across Computer Science

Rock Yuren Pang, Dan Grossman, Tadayoshi Kohno +1

From smart sensors that infringe on our privacy to neural nets that portray realistic imposter deepfakes, our society increasingly bears the burden of negative, if unintended, cons…