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119 Results
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Workshop
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Rule-Enhanced Graph Learning Ali · Abdolreza Mirzaei · Majjid Farhadi · Parmis Naddaf · Kiarash Zahirnia · Mohammad Salameh · Kevin Cannons · Richard Mar · Mingyi Wu · Oliver Schulte |
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Oral
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Wed 7:45 |
Trained Random Forests Completely Reveal your Dataset Julien Ferry · Ricardo Fukasawa · Timothée Pascal · Thibaut Vidal |
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Poster
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Thu 2:30 |
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning Saber Malekmohammadi · Yaoliang Yu · YANG CAO |
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Poster
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Tue 4:30 |
Automated Statistical Model Discovery with Language Models Michael Li · Emily Fox · Noah Goodman |
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Poster
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Wed 4:30 |
The Fundamental Limits of Least-Privilege Learning Theresa Stadler · Bogdan Kulynych · Michael Gastpar · Nicolas Papernot · Carmela Troncoso |
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Poster
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Wed 4:30 |
Low-Cost High-Power Membership Inference Attacks Sajjad Zarifzadeh · Philippe Liu · Reza Shokri |
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Oral
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Thu 8:00 |
Neural Collapse meets Differential Privacy: Curious behaviors of NoisyGD with Near-Perfect Representation Learning Chendi Wang · Yuqing Zhu · Weijie Su · Yu-Xiang Wang |
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Poster
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Wed 4:30 |
Neural-Kernel Conditional Mean Embeddings Eiki Shimizu · Kenji Fukumizu · Dino Sejdinovic |
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Oral
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Wed 1:30 |
Active Statistical Inference Tijana Zrnic · Emmanuel J Candes |
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Expo Talk Panel
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Merging Statistical, Causal, and Generative AI Techniques for Application Performance Monitoring Shiva Kasiviswanathan |
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Expo Talk Panel
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Sun 7:00 |
Merging Statistical, Causal, and Generative AI Techniques for Application Performance Monitoring Shiva Kasiviswanathan |
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Poster
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Wed 4:30 |
Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization Ziqing Fan · Shengchao Hu · Jiangchao Yao · Gang Niu · Ya Zhang · Masashi Sugiyama · Yanfeng Wang |