Improving Robustness using Generated Data

18 October 2021

Sven Gowal

Sylvestre-Alvise Rebuffi

Papers citing "Improving Robustness using Generated Data"

50 / 200 papers shown

Title
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain Gaozheng Pei Ke Ma Yingfei Sun Qianqian Xu Q. Huang DiffM 40 0 0 02 May 2025
Examining the Impact of Optical Aberrations to Image Classification and Object Detection Models Patrick Müller Alexander Braun M. Keuper 59 0 0 25 Apr 2025
Enhancing Variational Autoencoders with Smooth Robust Latent Encoding Hyomin Lee Minseon Kim Sangwon Jang Jongheon Jeong S. Hwang DiffM AAML 39 0 0 24 Apr 2025
Enhancing Facial Privacy Protection via Weakening Diffusion Purification Ali Salar Qing Liu Yingli Tian Guoying Zhao DiffM 56 0 0 13 Mar 2025
DDAD: A Two-pronged Adversarial Defense Based on Distributional Discrepancy Jiacheng Zhang Benjamin I. P. Rubinstein J. Zhang Feng Liu 71 0 0 04 Mar 2025
Fast Adversarial Training against Sparse Attacks Requires Loss Smoothing Xuyang Zhong Yixiao Huang Chen Liu AAML 41 0 0 28 Feb 2025
Model-Free Adversarial Purification via Coarse-To-Fine Tensor Network Representation Guang Lin D. Nguyen Zerui Tao Konstantinos Slavakis Toshihisa Tanaka Qibin Zhao AAML 61 0 0 25 Feb 2025
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness Emanuele Ballarin A. Ansuini Luca Bortolussi AAML 62 0 0 20 Feb 2025
Artificial Kuramoto Oscillatory Neurons Takeru Miyato Sindy Lowe Andreas Geiger Max Welling AI4CE 75 6 0 17 Feb 2025
Wasserstein distributional adversarial training for deep neural networks Xingjian Bai Guangyi He Yifan Jiang Jan Obloj OOD 56 0 0 13 Feb 2025
Does Training on Synthetic Data Make Models Less Robust? Lingze Zhang Ellie Pavlick SyDa 89 0 0 11 Feb 2025
Democratic Training Against Universal Adversarial Perturbations Bing-Jie Sun Jun Sun Wei Zhao AAML 57 0 0 08 Feb 2025
Improving the Efficiency of Self-Supervised Adversarial Training through Latent Clustering-Based Selection Somrita Ghosh Yuelin Xu Xiao Zhang AAML OOD 50 0 0 15 Jan 2025
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework Ping Guo Cheng Gong Xi Victoria Lin Fei Liu Zhichao Lu Qingfu Zhang Zhenkun Wang AAML 45 0 0 13 Jan 2025
Efficient Data Labeling and Optimal Device Scheduling in HWNs Using Clustered Federated Semi-Supervised Learning Moqbel Hamood A. Albaseer M. Abdallah Ala I. Al-Fuqaha 69 0 0 22 Dec 2024
R.I.P.: A Simple Black-box Attack on Continual Test-time Adaptation Trung-Hieu Hoang D. Vo Minh N. Do TTA AAML 94 0 0 02 Dec 2024
Random Sampling for Diffusion-based Adversarial Purification Jiancheng Zhang Peiran Dong Yongyong Chen Yin-Ping Zhao Song Guo DiffM 63 1 0 28 Nov 2024
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks Yong Xie Weijie Zheng Hanxun Huang Guangnan Ye Xingjun Ma AAML 72 1 0 20 Nov 2024
Trustworthy Federated Learning: Privacy, Security, and Beyond Chunlu Chen Ji Liu Haowen Tan Xingjian Li Kevin I-Kai Wang Peng Li Kouichi Sakurai Dejing Dou FedML 52 3 0 03 Nov 2024
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training Tejaswini Medi Steffen Jung M. Keuper AAML 38 3 0 30 Oct 2024
On the Robustness of Adversarial Training Against Uncertainty Attacks Emanuele Ledda Giovanni Scodeller Daniele Angioni Giorgio Piras Antonio Emanuele Cinà Giorgio Fumera Battista Biggio Fabio Roli AAML 30 1 0 29 Oct 2024
Test-time Adversarial Defense with Opposite Adversarial Path and High Attack Time Cost Cheng-Han Yeh Kuanchun Yu Chun-Shien Lu DiffM AAML 33 0 0 22 Oct 2024
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 28 0 0 19 Oct 2024
Constrained Posterior Sampling: Time Series Generation with Hard Constraints Sai Shankar Narasimhan Shubhankar Agarwal Litu Rout Sanjay Shakkottai Sandeep P. Chinchali DiffM AI4TS 31 0 0 16 Oct 2024
DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain Fengpeng Li Kemou Li Haiwei Wu Jinyu Tian Jiantao Zhou AAML 31 1 0 16 Oct 2024
Understanding Adversarially Robust Generalization via Weight-Curvature Index Yuelin Xu Xiao Zhang AAML 29 0 0 10 Oct 2024
Robustness Reprogramming for Representation Learning Zhichao Hou MohamadAli Torkamani Hamid Krim Xiaorui Liu AAML OOD 29 1 0 06 Oct 2024
LoRID: Low-Rank Iterative Diffusion for Adversarial Purification Geigh Zollicoffer Minh Vu Ben Nebgen Juan Castorena Boian S. Alexandrov Manish Bhattarai 27 2 0 12 Sep 2024
Top-GAP: Integrating Size Priors in CNNs for more Interpretability, Robustness, and Bias Mitigation Lars Nieradzik Henrike Stephani Janis Keuper FAtt AAML 36 0 0 07 Sep 2024
LightPure: Realtime Adversarial Image Purification for Mobile Devices Using Diffusion Models Hossein Khalili Seongbin Park Vincent Li Brandan Bright Ali Payani Ramana Rao Kompella Nader Sehatbakhsh AAML 40 1 0 31 Aug 2024
GenFormer -- Generated Images are All You Need to Improve Robustness of Transformers on Small Datasets Sven Oehri Nikolas Ebert Ahmed Abdullah Didier Stricker Oliver Wasenmüller ViT 26 5 0 26 Aug 2024
Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information Mingkun Zhang Jianing Li Wei Chen Jiafeng Guo Xueqi Cheng 37 6 0 12 Aug 2024
Enhancing Output Diversity Improves Conjugate Gradient-based Adversarial Attacks Keiichiro Yamamura Issa Oe Hiroki Ishikura Katsuki Fujisawa AAML 38 0 0 07 Aug 2024
Label Augmentation for Neural Networks Robustness Fatemeh Amerehi Patrick Healy AAML 37 1 0 04 Aug 2024
Privacy-preserving datasets by capturing feature distributions with Conditional VAEs Francesco Di Salvo David Tafler Sebastian Doerrich Christian Ledig CML 34 0 0 01 Aug 2024
ADBM: Adversarial diffusion bridge model for reliable adversarial purification Xiao-Li Li Wenxuan Sun Huanran Chen Qiongxiu Li Yining Liu Yingzhe He Jie Shi Xiaolin Hu AAML 58 7 0 01 Aug 2024
Adversarial Robustification via Text-to-Image Diffusion Models Daewon Choi Jongheon Jeong Huiwon Jang Jinwoo Shin DiffM 41 1 0 26 Jul 2024
Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls Aras Selvi Eleonora Kreacic Mohsen Ghassemi Vamsi K. Potluru T. Balch Manuela Veloso 29 0 0 18 Jul 2024
Self-Guided Generation of Minority Samples Using Diffusion Models Soobin Um Jong Chul Ye DiffM 31 4 0 16 Jul 2024
PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition Xiao-Li Li Yining Liu Na Dong Sitian Qin Xiaolin Hu 36 3 0 15 Jul 2024
HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm Attacks Raffaele Mura Giuseppe Floris Luca Scionis Giorgio Piras Maura Pintor Ambra Demontis Giorgio Giacinto Battista Biggio Fabio Roli AAML 50 0 0 11 Jul 2024
Shedding More Light on Robust Classifiers under the lens of Energy-based Models Mujtaba Hussain Mirza Maria Rosaria Briglia Senad Beadini I. Masi AAML 28 1 0 08 Jul 2024
Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness Erh-Chung Chen Pin-Yu Chen I-Hsin Chung Che-Rung Lee 34 2 0 28 Jun 2024
Large-Scale Dataset Pruning in Adversarial Training through Data Importance Extrapolation Bjorn Nieth Thomas Altstidl Leo Schwinn Björn Eskofier AAML 37 2 0 19 Jun 2024
MeanSparse: Post-Training Robustness Enhancement Through Mean-Centered Feature Sparsification Sajjad Amini Mohammadreza Teymoorianfard Shiqing Ma Amir Houmansadr OOD AAML 32 6 0 09 Jun 2024
ZeroPur: Succinct Training-Free Adversarial Purification Xiuli Bi Zonglin Yang Bo Liu Xiaodong Cun Chi-Man Pun Pietro Liò Bin Xiao 36 0 0 05 Jun 2024
SynCellFactory: Generative Data Augmentation for Cell Tracking Moritz Sturm Lorenzo Cerrone Fred A. Hamprecht 39 3 0 25 Apr 2024
Towards Understanding the Robustness of Diffusion-Based Purification: A Stochastic Perspective Yiming Liu Kezhao Liu Yao Xiao Ziyi Dong Xiaogang Xu Pengxu Wei Liang Lin DiffM 23 2 0 22 Apr 2024
Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies Brian Bartoldson James Diffenderfer Konstantinos Parasyris B. Kailkhura AAML 41 13 0 14 Apr 2024
Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches Lingxuan Wu Xiao Yang Yinpeng Dong Liuwei Xie Hang Su Jun Zhu AAML 35 2 0 31 Mar 2024