5 citations · 12 across the 23 of their papers we have counts for
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Compliance Rating Scheme: A Data Provenance Framework for Generative AI Datasets
Matyas Bohacek, Ignacio Vilanova Echavarri
Generative Artificial Intelligence (GAI) has experienced exponential growth in recent years, partly facilitated by the abundance of large-scale open-source datasets. These datasets…
LouvreSAE: Sparse Autoencoders for Interpretable and Controllable Style Transfer
Raina Panda, Daniel Fein, Arpita Singhal +3
Artistic style transfer in generative models remains a significant challenge, as existing methods often introduce style only via model fine-tuning, additional adapters, or prompt e…
Uncovering Competency Gaps in Large Language Models and Their Benchmarks
Maty Bohacek, Nino Scherrer, Nicholas Dufour +3
The evaluation of large language models relies heavily on standardized benchmarks. These benchmarks provide useful aggregated metrics, but can obscure (i) particular sub-areas wher…
Uncovering Conceptual Blindspots in Generative Image Models Using Sparse Autoencoders
Matyas Bohacek, Thomas Fel, Maneesh Agrawala +1
Despite their impressive performance, generative image models trained on large-scale datasets frequently fail to produce images with seemingly simple concepts -- e.g., human hands…
Dataset of News Articles with Provenance Metadata for Media Relevance Assessment
Tomas Peterka, Matyas Bohacek
Out-of-context and misattributed imagery is the leading form of media manipulation in today's misinformation and disinformation landscape. The existing methods attempting to detect…
Synthetic Human Action Video Data Generation with Pose Transfer
Vaclav Knapp, Matyas Bohacek
In video understanding tasks, particularly those involving human motion, synthetic data generation often suffers from uncanny features, diminishing its effectiveness for training.…
Towards an AI-Driven Video-Based American Sign Language Dictionary: Exploring Design and Usage Experience with Learners
Saad Hassan, Matyas Bohacek, Chaelin Kim +1
Searching for unfamiliar American Sign Language (ASL) signs is challenging for learners because, unlike spoken languages, they cannot type a text-based query to look up an unfamili…
Large Language Models and Provenance Metadata for Determining the Relevance of Images and Videos in News Stories
Tomas Peterka, Matyas Bohacek
The most effective misinformation campaigns are multimodal, often combining text with images and videos taken out of context -- or fabricating them entirely -- to support a given n…
Can Pose Transfer Models Generate Realistic Human Motion?
Vaclav Knapp, Matyas Bohacek
Recent pose-transfer methods aim to generate temporally consistent and fully controllable videos of human action where the motion from a reference video is reenacted by a new ident…
GenAI Confessions: Black-box Membership Inference for Generative Image Models
Matyas Bohacek, Hany Farid
From a simple text prompt, generative-AI image models can create stunningly realistic and creative images bounded, it seems, by only our imagination. These models have achieved thi…