Differentially Private Distribution Release of Gaussian Mixture Models via KL-Divergence Minimization
Authors: Hang Liu, Anna Scaglione, Sean Peisert | Published: 2025-06-04
最適化問題
On the Stability of Graph Convolutional Neural Networks: A Probabilistic Perspective
Authors: Ning Zhang, Henry Kenlay, Li Zhang, Mihai Cucuringu, Xiaowen Dong | Published: 2025-06-01 | Updated: 2025-06-03
Differentiable Adversarial Attacks for Marked Temporal Point Processes
Authors: Pritish Chakraborty, Vinayak Gupta, Rahul R, Srikanta J. Bedathur, Abir De | Published: 2025-01-17
Computing Optimization-Based Prompt Injections Against Closed-Weights Models By Misusing a Fine-Tuning API
Authors: Andrey Labunets, Nishit V. Pandya, Ashish Hooda, Xiaohan Fu, Earlence Fernandes | Published: 2025-01-16
Indiscriminate Disruption of Conditional Inference on Multivariate Gaussians
Authors: William N. Caballero, Matthew LaRosa, Alexander Fisher, Vahid Tarokh | Published: 2024-11-21
Variational Bayesian Bow tie Neural Networks with Shrinkage
Authors: Alisa Sheinkman, Sara Wade | Published: 2024-11-17 | Updated: 2024-11-19
Efficient Model Compression for Bayesian Neural Networks
Authors: Diptarka Saha, Zihe Liu, Feng Liang | Published: 2024-11-01
Privacy-Preserving Dynamic Assortment Selection
Authors: Young Hyun Cho, Will Wei Sun | Published: 2024-10-29
Evaluating of Machine Unlearning: Robustness Verification Without Prior Modifications
Authors: Heng Xu, Tianqing Zhu, Wanlei Zhou | Published: 2024-10-14
MergePrint: Robust Fingerprinting against Merging Large Language Models
Authors: Shojiro Yamabe, Tsubasa Takahashi, Futa Waseda, Koki Wataoka | Published: 2024-10-11