Data Augmentation Can Improve Robustness

9 November 2021

Sylvestre-Alvise Rebuffi

Papers citing "Data Augmentation Can Improve Robustness"

50 / 154 papers shown

Title
Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces Ruoqi Wang Haitao Wang Shaojie Guo Qiong Luo OOD 21 0 0 18 May 2025
Security of Internet of Agents: Attacks and Countermeasures Yuntao Wang Yanghe Pan Shaolong Guo Zhou Su LLMAG 44 0 0 12 May 2025
Fast Adversarial Training with Weak-to-Strong Spatial-Temporal Consistency in the Frequency Domain on Videos Songping Wang Hanqing Liu Yueming Lyu Xiantao Hu Ziwen He Luu Anh Tuan Caifeng Shan Lei Wang AAML 121 0 0 21 Apr 2025
Adversarial Examples in Environment Perception for Automated Driving (Review) Jun Yan Huilin Yin AAML 34 0 0 11 Apr 2025
RAW-Adapter: Adapting Pre-trained Visual Model to Camera RAW Images and A Benchmark Ziteng Cui Jianfei Yang Tatsuya Harada VLM 56 0 0 21 Mar 2025
Measuring the Robustness of Audio Deepfake Detectors Xiang Li Pin-Yu Chen Wenqi Wei 40 0 0 21 Mar 2025
Towards Robust Universal Information Extraction: Benchmark, Evaluation, and Solution Jizhao Zhu Akang Shi Zhiyu Li Long Bai Xiaolong Jin J. Guo Xueqi Cheng 58 0 0 05 Mar 2025
TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions Wang YuHang Junkang Guo Aolei Liu Kaihao Wang Zaitong Wu Zhenyu Liu Wenfei Yin Jian Liu AAML 50 0 0 02 Mar 2025
PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection Xiaoran Xu Jiangang Yang Wenhui Shi Siyuan Ding Luqing Luo Jian Liu 89 1 0 24 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
The Curious Case of Arbitrariness in Machine Learning Prakhar Ganesh Afaf Taik G. Farnadi 61 2 0 28 Jan 2025
Central limit theorems for vector-valued composite functionals with smoothing and applications Huhui Chen Darinka Dentcheva Yang Lin Gregory J. Stock 48 0 0 26 Dec 2024
Exponential Moving Average of Weights in Deep Learning: Dynamics and Benefits Daniel Morales-Brotons Thijs Vogels Hadrien Hendrikx 129 17 0 27 Nov 2024
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training Tejaswini Medi Steffen Jung M. Keuper AAML 44 3 0 30 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 38 0 0 22 Oct 2024
How Does Data Diversity Shape the Weight Landscape of Neural Networks? Yang Ba M. Mancenido Rong Pan 26 0 0 18 Oct 2024
Pseudo-Non-Linear Data Augmentation via Energy Minimization Pingbang Hu Mahito Sugiyama 26 0 0 01 Oct 2024
Exploring Empty Spaces: Human-in-the-Loop Data Augmentation Catherine Yeh Donghao Ren Yannick Assogba Dominik Moritz Fred Hohman 38 0 0 01 Oct 2024
Enabling Tensor Decomposition for Time-Series Classification via A Simple Pseudo-Laplacian Contrast Man Li Ziyue Li Lijun Sun Fugee Tsung AI4TS 26 1 0 23 Sep 2024
Semi-supervised Learning For Robust Speech Evaluation Huayun Zhang Jeremy H. M. Wong Geyu Lin Nancy F. Chen 31 0 0 23 Sep 2024
Are Sparse Neural Networks Better Hard Sample Learners? Q. Xiao Boqian Wu Lu Yin Christopher Neil Gadzinski Tianjin Huang Mykola Pechenizkiy Decebal Constantin Mocanu 40 1 0 13 Sep 2024
Control+Shift: Generating Controllable Distribution Shifts Roy Friedman Rhea Chowers 52 0 0 12 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
Enhancing Output Diversity Improves Conjugate Gradient-based Adversarial Attacks Keiichiro Yamamura Issa Oe Hiroki Ishikura Katsuki Fujisawa AAML 50 0 0 07 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 63 7 0 01 Aug 2024
Adversarial Robustification via Text-to-Image Diffusion Models Daewon Choi Jongheon Jeong Huiwon Jang Jinwoo Shin DiffM 47 1 0 26 Jul 2024
Data-driven Verification of DNNs for Object Recognition Clemens Otte Yinchong Yang Danny Benlin Oswan AAML 29 0 0 17 Jul 2024
Improving the Transferability of Adversarial Examples by Feature Augmentation Donghua Wang Wen Yao Tingsong Jiang Xiaohu Zheng Junqi Wu Xiaoqian Chen AAML 53 0 0 09 Jul 2024
Introducing Ínside' Out of Distribution Teddy Lazebnik 31 1 0 05 Jul 2024
Revisiting the Performance of Deep Learning-Based Vulnerability Detection on Realistic Datasets Partha Chakraborty Krishna Kanth Arumugam Mahmoud Alfadel Meiyappan Nagappan Shane McIntosh 22 1 0 03 Jul 2024
Towards unlocking the mystery of adversarial fragility of neural networks Jingchao Gao Raghu Mudumbai Xiaodong Wu Jirong Yi Catherine Xu Hui Xie Weiyu Xu 35 1 0 23 Jun 2024
DataFreeShield: Defending Adversarial Attacks without Training Data Hyeyoon Lee Kanghyun Choi Dain Kwon Sunjong Park Mayoore S. Jaiswal Noseong Park Jonghyun Choi Jinho Lee 36 0 0 21 Jun 2024
MEAT: Median-Ensemble Adversarial Training for Improving Robustness and Generalization Zhaozhe Hu Jia-Li Yin Bin Chen Luojun Lin Bo-Hao Chen Ximeng Liu AAML 33 0 0 20 Jun 2024
Enhancing robustness of data-driven SHM models: adversarial training with circle loss Xiangli Yang Xijie Deng Hanwei Zhang Yang Zou Jianxi Yang AAML 41 0 0 20 Jun 2024
Class-specific Data Augmentation for Plant Stress Classification Nasla Saleem Aditya Balu Talukder Zaki Jubery Arti Singh Asheesh Kumar Singh Soumik Sarkar Baskar Ganapathysubramanian 44 1 0 18 Jun 2024
Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning Tian Liu Huixin Zhang Shubham Parashar Shu Kong 29 2 0 17 Jun 2024
Data Augmentation in Earth Observation: A Diffusion Model Approach Tiago Sousa B. Ries N. Guelfi DiffM 47 2 0 10 Jun 2024
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data Thibault Simonetto Salah Ghamizi Maxime Cordy AAML OOD 44 2 0 02 Jun 2024
You Only Need Half: Boosting Data Augmentation by Using Partial Content Juntao Hu Yuan Wu 38 1 0 05 May 2024
SynCellFactory: Generative Data Augmentation for Cell Tracking Moritz Sturm Lorenzo Cerrone Fred A. Hamprecht 39 3 0 25 Apr 2024
Machine Learning-Guided Design of Non-Reciprocal and Asymmetric Elastic Chiral Metamaterials Lingxiao Yuan Emma Lejeune Harold S. Park 23 0 0 19 Apr 2024
Awareness of uncertainty in classification using a multivariate model and multi-views Alexey Kornaev E. Kornaeva Oleg Ivanov Ilya S. Pershin Danis Alukaev UQCV EDL 44 0 0 16 Apr 2024
Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies Brian Bartoldson James Diffenderfer Konstantinos Parasyris B. Kailkhura AAML 49 13 0 14 Apr 2024
Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation Kyohoon Jin Junho Lee Juhwan Choi Sangmin Song Youngbin Kim 40 0 0 22 Mar 2024
Revisiting Adversarial Training under Long-Tailed Distributions Xinli Yue Ningping Mou Qian Wang Lingchen Zhao AAML 31 7 0 15 Mar 2024
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers Haoyang Liu Aditya Singh Yijiang Li Haohan Wang AAML ViT 39 1 0 15 Mar 2024
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 58 0 0 13 Mar 2024
VTruST: Controllable value function based subset selection for Data-Centric Trustworthy AI Soumili Das Shubhadip Nag Shreyyash Sharma Suparna Bhattacharya Sourangshu Bhattacharya 32 0 0 08 Mar 2024
Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume Ping Guo Cheng Gong Xi Lin Zhiyuan Yang Qingfu Zhang AAML 34 2 0 08 Mar 2024
The Risk of Federated Learning to Skew Fine-Tuning Features and Underperform Out-of-Distribution Robustness Mengyao Du Miao Zhang Yuwen Pu Kai Xu Shouling Ji Quanjun Yin 35 1 0 25 Jan 2024