Workshop is organized by Viraj Prabu, Prithvijit Chattopadhyay, sriram Yenamandra, Krish Kabra, Hao Liang, Guha Balakrishnan, Pietro Perona
1 year ago
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Posts by Judy Hoffman
Workshop Focus: Traditional ML auditing relies on manually-labeled data with limitations. Our workshop explores how generative techniques can create synthetic data that allows for controlled attribute manipulation to analyze performance, bias, and failure modes in ML systems. 🌟
1 year ago
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🚀 Excited about how generative AI can power experimental (not just observational) audits of ML systems that reveal actionable insights into performance and bias?
Join us: Experimental Model Auditing with Controllable Synthesis workshop @cvprconference.bsky.social!
sites.google.com/view/emacs20...
1 year ago
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😮💨
1 year ago
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🚨 NeurIPS 2024 🚨How robust are AI-Generated Image Detectors?
🤔 Can they detect various magnitudes of image augmentations?
💡 Does performance fluctuate across scenes?
🚀 Find out with Semi-Truths: 1.5 million images for the targeted evaluation of AI-generated images. arxiv.org/abs/2411.07472
1 year ago
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Hi! Who's here from the computer vision or AI communities?
2 years ago
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