RCDM: Enabling Robustness for Conditional Diffusion Model

5 August 2024

Papers citing "RCDM: Enabling Robustness for Conditional Diffusion Model"

30 / 30 papers shown

Title
Stability and Generalization in Free Adversarial Training Xiwei Cheng Kexin Fu Farzan Farnia AAML 61 2 0 08 Jan 2025
Robust deep learning from weakly dependent data William Kengne Modou Wade OOD 66 2 0 08 May 2024
An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization Minshuo Chen Song Mei Jianqing Fan Mengdi Wang VLM MedIm DiffM 96 56 0 11 Apr 2024
Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory Hengyu Fu Zhuoran Yang Mengdi Wang Minshuo Chen DiffM 43 23 0 18 Mar 2024
Adversarially Robust Feature Learning for Breast Cancer Diagnosis Degan Hao Dooman Arefan M. Zuley Wendie Berg Shandong Wu OOD MedIm 61 1 0 13 Feb 2024
Improving Data Augmentation for Robust Visual Question Answering with Effective Curriculum Learning Yuhang Zheng Zhen Wang Long Chen 47 2 0 28 Jan 2024
The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation Saurabh Saxena Charles Herrmann Junhwa Hur Abhishek Kar Mohammad Norouzi Deqing Sun David J. Fleet DiffM 83 81 0 02 Jun 2023
Adding Conditional Control to Text-to-Image Diffusion Models Lvmin Zhang Anyi Rao Maneesh Agrawala AI4CE 133 4,106 1 10 Feb 2023
Scalable Diffusion Models with Transformers William S. Peebles Saining Xie GNN 88 2,299 0 19 Dec 2022
All are Worth Words: A ViT Backbone for Diffusion Models Fan Bao Shen Nie Kaiwen Xue Yue Cao Chongxuan Li Hang Su Jun Zhu VLM 111 352 0 25 Sep 2022
Lossy Image Compression with Conditional Diffusion Models Ruihan Yang Stephan Mandt DiffM 47 132 0 14 Sep 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 188 3,885 0 26 Jul 2022
Threat Model-Agnostic Adversarial Defense using Diffusion Models Tsachi Blau Roy Ganz Bahjat Kawar Alex M. Bronstein Michael Elad AAML DiffM 68 26 0 17 Jul 2022
Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching Cheng Lu Kaiwen Zheng Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 82 85 0 16 Jun 2022
Guided Diffusion Model for Adversarial Purification Jinyi Wang Zhaoyang Lyu Dahua Lin Bo Dai Hongfei Fu DiffM 236 87 0 30 May 2022
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation Minkai Xu Lantao Yu Yang Song Chence Shi Stefano Ermon Jian Tang BDL DiffM 143 513 0 06 Mar 2022
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations Jaehyeong Jo Seul Lee Sung Ju Hwang DiffM 63 224 0 05 Feb 2022
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 80 234 0 14 Dec 2021
More Control for Free! Image Synthesis with Semantic Diffusion Guidance Xihui Liu Dong Huk Park S. Azadi Gong Zhang Arman Chopikyan Yuxiao Hu Humphrey Shi Anna Rohrbach Trevor Darrell DiffM 74 256 0 10 Dec 2021
Adversarial purification with Score-based generative models Jongmin Yoon Sung Ju Hwang Juho Lee DiffM 79 156 0 11 Jun 2021
Cascaded Diffusion Models for High Fidelity Image Generation Jonathan Ho Chitwan Saharia William Chan David J. Fleet Mohammad Norouzi Tim Salimans 151 1,220 0 30 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 213 7,831 0 11 May 2021
Learning Gradient Fields for Molecular Conformation Generation Chence Shi Shitong Luo Minkai Xu Jian Tang DiffM AI4CE 72 215 0 09 May 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 329 3,675 0 18 Feb 2021
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting Kashif Rasul Calvin Seward Ingmar Schuster Roland Vollgraf DiffM 91 317 0 28 Jan 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 330 6,453 0 26 Nov 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 224 1,151 0 16 Jun 2020
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning Daniel Kuhn Peyman Mohajerin Esfahani Viet Anh Nguyen Soroosh Shafieezadeh-Abadeh OOD 60 394 0 23 Aug 2019
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 167 7,639 0 22 Sep 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 290 6,931 0 12 Mar 2015