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Published in Fourth International Workshop on Machine Learning for Cyber-Agricultural Systems (MLCAS), 2022
Recommended citation: S. K. Kamtikar, E. Ji, N. K. Uppalapati, G. Krishnan, G. Chowdhary. "Realistic Simulation Environments to Achieve Visual Servoing on Soft Continuum Arms in Constrained Environments". Fourth International Workshop on Machine Learning for Cyber-Agricultural Systems (MLCAS 2022).
Published in MIT Undergraduate Research Technology Conference (URTC), 2023
Recent developments in generative artificial intelligence are bringing great concerns for privacy, security and misinformation. Our work focuses on the detection of fake images generated by text-to-image models. We propose a dualdomain CNN-based classifier that utilizes image features in both the spatial and frequency domain. Through an extensive set of experiments, we demonstrate that the frequency domain features facilitate high accuracy, zero-transfer learning between different generative models, and faster convergence. To our best knowledge, this is the first effective detector against generative models that are finetuned for a specific subject.
Recommended citation: E. Ji, B. Dong, B. Samanthula, N. Zhou. "2D-FACT: Dual-Domain Fake Image Detection Against Text-to-Image Generative Models". MIT Undergraduate Research Technology Conference (URTC 2023).
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CS 125: Intro to Computer Science, University of Illinois Urbana-Champaign, 2020
ECE 120: Intro to Computing, University of Illinois Urbana-Champaign, 2023
ECE 484: Principle of Safe Autonomy, University of Illinois Urbana-Champaign, 2024