FullCert: Deterministic End-to-End Certification for Training and Inference of Neural Networks
Authors: Tobias Lorenz, Marta Kwiatkowska, Mario Fritz | Published: 2024-06-17 | Updated: 2024-09-11
Optimization Problem
Adversarial Machine Unlearning
Authors: Zonglin Di, Sixie Yu, Yevgeniy Vorobeychik, Yang Liu | Published: 2024-06-11
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior
Authors: Shuyu Cheng, Yibo Miao, Yinpeng Dong, Xiao Yang, Xiao-Shan Gao, Jun Zhu | Published: 2024-05-29
AdjointDEIS: Efficient Gradients for Diffusion Models
Authors: Zander W. Blasingame, Chen Liu | Published: 2024-05-23 | Updated: 2025-01-21
Uncertainty quantification by block bootstrap for differentially private stochastic gradient descent
Authors: Holger Dette, Carina Graw | Published: 2024-05-21
Geometry-Aware Instrumental Variable Regression
Authors: Heiner Kremer, Bernhard Schölkopf | Published: 2024-05-19
AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation
Authors: Fei Wei, Ergute Bao, Xiaokui Xiao, Yin Yang, Bolin Ding | Published: 2024-04-02 | Updated: 2024-04-03
Towards Better Statistical Understanding of Watermarking LLMs
Authors: Zhongze Cai, Shang Liu, Hanzhao Wang, Huaiyang Zhong, Xiaocheng Li | Published: 2024-03-19
Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates
Authors: Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo | Published: 2024-03-18 | Updated: 2024-06-04
Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains
Authors: Nikita Tsoy, Anna Mihalkova, Teodora Todorova, Nikola Konstantinov | Published: 2024-03-11 | Updated: 2024-11-07