Papers citing 'Fixing Data Augmentation to Improve Adversarial Robustness'

Title
Tuning for Two Adversaries: Enhancing the Robustness Against Transfer and Query-Based Attacks using Hyperparameter Tuning Pascal Zimmer Ghassan O. Karame AAML 227 0 0 17 Nov 2025
Generalist++: A Meta-learning Framework for Mitigating Trade-off in Adversarial Training Yisen Wang Yichuan Mo Hongjun Wang Junyi Li Zhouchen Lin AAML 112 1 0 15 Oct 2025
Joint Discriminative-Generative Modeling via Dual Adversarial Training Xuwang Yin Claire Zhang Julie Steele Nir Shavit T. T. Wang GAN 384 0 0 13 Oct 2025
The Impact of Scaling Training Data on Adversarial Robustness Marco Zimmerli Andreas Plesner Till Aczél Roger Wattenhofer 152 0 0 30 Sep 2025
InfiAgent: Self-Evolving Pyramid Agent Framework for Infinite Scenarios Chenglin Yu Yang Yu Songmiao Wang Y. Wang Y. Yang Jinjia Li Ming Li Hongxia Yang LLMAG 189 0 0 26 Sep 2025
RCR-AF: Enhancing Model Generalization via Rademacher Complexity Reduction Activation Function Yunrui Yu Kafeng Wang Hang Su Jun-Jie Zhu AAML 131 0 0 30 Jul 2025
Curvature Dynamic Black-box Attack: revisiting adversarial robustness via dynamic curvature estimation Peiran Sun AAML 246 0 0 25 May 2025
Adversarial Robustness for Unified Multi-Modal Encoders via Efficient Calibration Chih-Ting Liao Bin Ren Guofeng Mei Tzu-Yu Huang Xin Cao Xu Zheng AAML 224 3 0 17 May 2025
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain Gaozheng Pei Ke Ma Yingfei Sun Qianqian Xu Qingming Huang DiffM 446 4 0 02 May 2025
Stop Walking in Circles! Bailing Out Early in Projected Gradient DescentComputer Vision and Pattern Recognition (CVPR), 2025 Philip Doldo Derek Everett Amol Khanna A. Nguyen Edward Raff AAML 255 1 0 25 Mar 2025
LipShiFT: A Certifiably Robust Shift-based Vision Transformer Rohan Menon Nicola Franco Stephan Günnemann 253 1 0 18 Mar 2025
Robust Dataset Distillation by Matching Adversarial Trajectories Wei Lai Tianyu Ding ren dongdong Lei Wang Jing Huo Yang Gao Wenbin Li AAML DD 274 1 0 15 Mar 2025
One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy Jiacheng Zhang Benjamin I. P. Rubinstein Jing Zhang Yifan Zhang 355 0 0 04 Mar 2025
Fast Adversarial Training against Sparse Attacks Requires Loss Smoothing Xuyang Zhong Yixiao Huang Chen Liu AAML 332 0 0 28 Feb 2025
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot ClassificationInternational Conference on Learning Representations (ICLR), 2025 Mingkun Zhang Keping Bi Wei Chen Jiafeng Guo Xueqi Cheng BDL VLM 445 8 0 25 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 263 1 0 25 Feb 2025
Improved Diffusion-based Generative Model with Better Adversarial RobustnessInternational Conference on Learning Representations (ICLR), 2025 Zekun Wang Mingyang Yi Shuchen Xue Zhiyu Li Ming Liu Bing Qin Zhi-Ming Ma DiffM 321 0 0 24 Feb 2025
MOS-Attack: A Scalable Multi-objective Adversarial Attack FrameworkComputer Vision and Pattern Recognition (CVPR), 2025 Ping Guo Cheng Gong Xi Lin Fei Liu Zhichao Lu Gang Qu Zhenkun Wang AAML 282 0 0 13 Jan 2025
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual AttacksComputer Vision and Pattern Recognition (CVPR), 2024 Yong Xie Weijie Zheng Hanxun Huang Guangnan Ye Jiabo He AAML 597 1 0 20 Nov 2024
Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training Junhao Dong Xinghua Qu Zhiyuan Wang Yew-Soon Ong AAML 258 3 0 05 Nov 2024
On the Robustness of Adversarial Training Against Uncertainty AttacksPattern Recognition (Pattern Recogn.), 2024 Emanuele Ledda Giovanni Scodeller Daniele Angioni Giorgio Piras Antonio Emanuele Cinà Giorgio Fumera Battista Biggio Fabio Roli AAML 344 1 0 29 Oct 2024
Low-Rank Adversarial PGD Attack Dayana Savostianova Emanuele Zangrando Francesco Tudisco AAML 238 3 0 16 Oct 2024
DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency DomainNeural Information Processing Systems (NeurIPS), 2024 Fengpeng Li Kemou Li Haiwei Wu Jinyu Tian Jiantao Zhou AAML 267 4 0 16 Oct 2024
Robustness Reprogramming for Representation LearningInternational Conference on Learning Representations (ICLR), 2024 Zhichao Hou MohamadAli Torkamani Hamid Krim Xiaorui Liu AAML OOD 359 1 0 06 Oct 2024
Test-Time Augmentation Meets Variational Bayes Masanari Kimura Howard Bondell OOD BDL TDI 259 2 0 19 Sep 2024
LoRID: Low-Rank Iterative Diffusion for Adversarial PurificationAAAI Conference on Artificial Intelligence (AAAI), 2024 Geigh Zollicoffer Minh Vu Ben Nebgen Juan Castorena Boian S. Alexandrov Manish Bhattarai 209 7 0 12 Sep 2024
Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive InformationEuropean Conference on Artificial Intelligence (ECAI), 2024 Mingkun Zhang Jianing Li Wei Chen Jiafeng Guo Xueqi Cheng 249 9 0 12 Aug 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 229 0 0 11 Jul 2024
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers Jonas Ngnawé Sabyasachi Sahoo Y. Pequignot Frédéric Precioso Christian Gagné AAML 313 3 0 26 Jun 2024
Large-Scale Dataset Pruning in Adversarial Training through Data Importance Extrapolation Bjorn Nieth Thomas Altstidl Leo Schwinn Björn Eskofier AAML 328 3 0 19 Jun 2024
ZeroPur: Succinct Training-Free Adversarial Purification Xiuli Bi Zonglin Yang Bo Liu Xiaodong Cun Chi-Man Pun 474 1 0 05 Jun 2024
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior Shuyu Cheng Yibo Miao Yinpeng Dong Xiao Yang Xiao-Shan Gao Jun Zhu AAML 195 6 0 29 May 2024
PUMA: margin-based data pruning Javier Maroto Pascal Frossard AAML 194 1 0 10 May 2024
Sparse-PGD: A Unified Framework for Sparse Adversarial Perturbations GenerationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 Xuyang Zhong Yixiao Huang AAML 358 0 0 08 May 2024
You Only Need Half: Boosting Data Augmentation by Using Partial Content Juntao Hu Yuan Wu 143 1 0 05 May 2024
Uniformly Stable Algorithms for Adversarial Training and BeyondInternational Conference on Machine Learning (ICML), 2024 Jiancong Xiao Jiawei Zhang Zhimin Luo Asuman Ozdaglar AAML 187 2 0 03 May 2024
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning Hikmat Khan N. Bouaynaya Ghulam Rasool CLL 245 1 0 22 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 216 2 0 22 Apr 2024
On adversarial training and the 1 Nearest Neighbor classifier Amir Hagai Yair Weiss AAML 232 0 0 09 Apr 2024
LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking AttacksInternational Conference on Learning Representations (ICLR), 2024 Jianlang Chen Xuhong Ren Qing Guo Felix Juefei Xu Di Lin Wei Feng Lei Ma Jianjun Zhao 216 6 0 09 Apr 2024
Adversarial Guided Diffusion Models for Adversarial PurificationNeural Networks (NN), 2024 Guang Lin Zerui Tao Jianhai Zhang Toshihisa Tanaka Qibin Zhao 525 5 0 24 Mar 2024
Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial HypervolumeIEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2024 Ping Guo Cheng Gong Xi Lin Zhiyuan Yang Qingfu Zhang AAML 214 4 0 08 Mar 2024
SoK: Analyzing Adversarial Examples: A Framework to Study Adversary Knowledge L. Fenaux Florian Kerschbaum AAML 297 0 0 22 Feb 2024
Your Diffusion Model is Secretly a Certifiably Robust Classifier Huanran Chen Yinpeng Dong Shitong Shao Zhongkai Hao Xiao Yang Hang Su Jun Zhu DiffM 334 6 0 04 Feb 2024
MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers Yatong Bai Mo Zhou Vishal M. Patel Somayeh Sojoudi AAML 343 16 0 03 Feb 2024
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization Guang Lin Chao Li Jianhai Zhang Toshihisa Tanaka Qibin Zhao 287 22 0 29 Jan 2024
Hijacking Attacks against Neural Networks by Analyzing Training Data Yunjie Ge Qian Wang Huayang Huang Qi Li Cong Wang Chao Shen Lingchen Zhao Peipei Jiang Zheng Fang Shenyi Zhang 197 0 0 18 Jan 2024
Robustness Against Adversarial Attacks via Learning Confined Adversarial PolytopesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024 Shayan Mohajer Hamidi Linfeng Ye AAML 154 3 0 15 Jan 2024
Adversarial Examples are Misaligned in Diffusion Model ManifoldsIEEE International Joint Conference on Neural Network (IJCNN), 2024 P. Lorenz Ricard Durall Jansi Keuper DiffM 423 1 0 12 Jan 2024
Calibration Attacks: A Comprehensive Study of Adversarial Attacks on Model Confidence Stephen Obadinma Xiaodan Zhu Hongyu Guo AAML 244 2 0 05 Jan 2024