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Poster
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Wed 17:00
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Adversarial Parameter Attack on Deep Neural Networks
Lijia Yu · Yihan Wang · Xiao-Shan Gao
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Workshop
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Semantically Adversarial Scene Generation with Explicit Knowledge Guidance for Autonomous Driving
Wenhao Ding · Haohong Lin · Bo Li · Ding Zhao
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Workshop
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HiGen: Hierarchical Graph Generative Networks
Mahdi Karami
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Workshop
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DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles
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Workshop
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Establishing a Benchmark for Adversarial Robustness of Compressed Deep Learning Models after Pruning
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Affinity Workshop
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Mon 19:15
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Generative network-based reduced-order model for prediction, data assimilation and uncertainty quantification
Vinicius L S Silva · Claire Heaney · Christopher Pain
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Poster
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Wed 17:00
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Graph Generative Model for Benchmarking Graph Neural Networks
Minji Yoon · Yue Wu · John Palowitch · Bryan Perozzi · Ruslan Salakhutdinov
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Workshop
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DiffMol: 3D Structured Molecule Generation with Discrete Denoising Diffusion Probabilistic Models
Weitong Zhang · Xiaoyun Wang · Justin Smith · Joe Eaton · Brad Rees · Quanquan Gu
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Workshop
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Black Box Adversarial Prompting for Foundation Models
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Workshop
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Conditional Graph Generation with Graph Principal Flow Network
Tianze Luo · Zhanfeng Mo · Sinno Jialin Pan
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Poster
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Wed 17:00
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TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation
Zhaoyan Liu · Noël Vouitsis · Satya Krishna Gorti · Jimmy Ba · Gabriel Loaiza-Ganem
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Workshop
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Don't trust your eyes: on the (un)reliability of feature visualizations
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