Lipschitz regularized Deep Neural Networks generalize and are adversarially robust

28 August 2018

Papers citing "Lipschitz regularized Deep Neural Networks generalize and are adversarially robust"

7 / 7 papers shown

Title
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity Hanlin Gu W. Ong Chee Seng Chan Lixin Fan MU 39 7 0 23 May 2024
Exploring Active 3D Object Detection from a Generalization Perspective Yadan Luo Zhuoxiao Chen Zijian Wang Xin Yu Zi Huang Mahsa Baktash 3DPC 37 27 0 23 Jan 2023
CLIP: Cheap Lipschitz Training of Neural Networks Leon Bungert René Raab Tim Roith Leo Schwinn Daniel Tenbrinck 32 32 0 23 Mar 2021
Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization P. Gyawali S. Ghimire Linwei Wang AAML 31 7 0 23 Sep 2020
Machine Learning and System Identification for Estimation in Physical Systems Fredrik Bagge Carlson OOD 16 5 0 05 Jun 2019
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers Ernest K. Ryu Jialin Liu Sicheng Wang Xiaohan Chen Zhangyang Wang W. Yin AI4CE 22 348 0 14 May 2019
Improved robustness to adversarial examples using Lipschitz regularization of the loss Chris Finlay Adam M. Oberman B. Abbasi 24 34 0 01 Oct 2018