4 papers
Compositional Generative Modeling from Decentralized Data
Mashrur M. Morshed, Vishnu Naresh Boddeti
Learning the compositional nature of the physical world requires joint observation of interacting factors. However, because practical data is often decentralized, these factors are…
PolyJuice Makes It Real: Black-Box, Universal Red Teaming for Synthetic Image Detectors
Sepehr Dehdashtian, Mashrur M. Morshed, Jacob H. Seidman +2
Synthetic image detectors (SIDs) are a key defense against the risks posed by the growing realism of images from text-to-image (T2I) models. Red teaming improves SID's effectivenes…
DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows
Mashrur M. Morshed, Vishnu Boddeti
Many real-world applications of flow-based generative models desire a diverse set of samples that cover multiple modes of the target distribution. However, the predominant approach…
Learning Audio Representations with MLPs
Mashrur M. Morshed, Ahmad Omar Ahsan, Hasan Mahmud +1
In this paper, we propose an efficient MLP-based approach for learning audio representations, namely timestamp and scene-level audio embeddings. We use an encoder consisting of seq…