Adversarial Lipschitz Regularization

12 July 2019

Papers citing "Adversarial Lipschitz Regularization"

16 / 16 papers shown

Title
Careful with that Scalpel: Improving Gradient Surgery with an EMA Yu-Guan Hsieh James Thornton Eugène Ndiaye Michal Klein Marco Cuturi Pierre Ablin MedIm 39 0 0 05 Feb 2024
Stability Analysis Framework for Particle-based Distance GANs with Wasserstein Gradient Flow Chuqi Chen Yue Wu Yang Xiang GAN 17 0 0 04 Jul 2023
Penalty Gradient Normalization for Generative Adversarial Networks Tian Xia GAN 21 1 0 23 Jun 2023
Robust low-rank training via approximate orthonormal constraints Dayana Savostianova Emanuele Zangrando Gianluca Ceruti Francesco Tudisco 37 9 0 02 Jun 2023
Data Interpolants -- That's What Discriminators in Higher-order Gradient-regularized GANs Are Siddarth Asokan C. Seelamantula 32 4 0 01 Jun 2023
Extracting Training Data from Diffusion Models Nicholas Carlini Jamie Hayes Milad Nasr Matthew Jagielski Vikash Sehwag Florian Tramèr Borja Balle Daphne Ippolito Eric Wallace DiffM 73 572 0 30 Jan 2023
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing Yatong Bai Brendon G. Anderson Aerin Kim Somayeh Sojoudi AAML 41 18 0 29 Jan 2023
Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering Rui Zhu Di Tang Siyuan Tang Guanhong Tao Shiqing Ma Xiaofeng Wang Haixu Tang DD 23 3 0 29 Jan 2023
GAN-based Domain Inference Attack Yuechun Gu Keke Chen 15 11 0 22 Dec 2022
On Deep Learning in Password Guessing, a Survey Fang Yu AAML 27 3 0 22 Aug 2022
A Quantitative Geometric Approach to Neural-Network Smoothness Zehao Wang Gautam Prakriya S. Jha 43 13 0 02 Mar 2022
Gradient Normalization for Generative Adversarial Networks Yi-Lun Wu Hong-Han Shuai Zhi Rui Tam H. Chiu GAN 27 63 0 06 Sep 2021
Analytical bounds on the local Lipschitz constants of ReLU networks Trevor Avant K. Morgansen FAtt 27 12 0 29 Apr 2021
CLIP: Cheap Lipschitz Training of Neural Networks Leon Bungert René Raab Tim Roith Leo Schwinn Daniel Tenbrinck 32 32 0 23 Mar 2021
Training Generative Adversarial Networks by Solving Ordinary Differential Equations Chongli Qin Yan Wu Jost Tobias Springenberg Andrew Brock Jeff Donahue Timothy Lillicrap Pushmeet Kohli GAN 32 29 0 28 Oct 2020
Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization P. Gyawali S. Ghimire Linwei Wang AAML 39 7 0 23 Sep 2020