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Theoretically Principled Trade-off between Robustness and Accuracy

24 January 2019

Papers citing "Theoretically Principled Trade-off between Robustness and Accuracy"

50 / 837 papers shown

Title
Attack-Agnostic Adversarial Detection Jiaxin Cheng Mohamed Hussein J. Billa Wael AbdAlmageed AAML 63 0 0 01 Jun 2022
Optimal Activation Functions for the Random Features Regression Model Jianxin Wang José Bento 67 3 0 31 May 2022
CHALLENGER: Training with Attribution Maps Christian Tomani Daniel Cremers 22 1 0 30 May 2022
Guided Diffusion Model for Adversarial Purification Jinyi Wang Zhaoyang Lyu Dahua Lin Bo Dai Hongfei Fu DiffM 277 90 0 30 May 2022
CalFAT: Calibrated Federated Adversarial Training with Label Skewness Chen Chen Yuchen Liu Xingjun Ma Lingjuan Lyu FedML 247 34 0 30 May 2022
Robust Weight Perturbation for Adversarial Training Chaojian Yu Bo Han Biwei Huang Li Shen Shiming Ge Bo Du Tongliang Liu AAML 75 36 0 30 May 2022
Semi-supervised Semantics-guided Adversarial Training for Trajectory Prediction Ruochen Jiao Xiangguo Liu Takami Sato Qi Alfred Chen Qi Zhu AAML 100 20 0 27 May 2022
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling Mitch Hill Jonathan Mitchell Chu Chen Yuan Du M. Shah Song-Chun Zhu 28 0 0 24 May 2022
Alleviating Robust Overfitting of Adversarial Training With Consistency Regularization Shudong Zhang Haichang Gao Tianwei Zhang Yunyi Zhou Zihui Wu AAML 74 4 0 24 May 2022
Squeeze Training for Adversarial Robustness Qizhang Li Yiwen Guo W. Zuo Hao Chen OOD 95 9 0 23 May 2022
Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models Shawn Shan Wen-Luan Ding Emily Wenger Haitao Zheng Ben Y. Zhao AAML 75 11 0 21 May 2022
Hierarchical Distribution-Aware Testing of Deep Learning Wei Huang Xingyu Zhao Alec Banks V. Cox Xiaowei Huang OOD AAML 78 10 0 17 May 2022
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 278 450 0 16 May 2022
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks Siddhartha Datta AAML 106 5 0 15 May 2022
Smooth-Reduce: Leveraging Patches for Improved Certified Robustness Ameya Joshi Minh Pham Minsu Cho Leonid Boytsov Filipe Condessa J. Zico Kolter Chinmay Hegde UQCV AAML 68 2 0 12 May 2022
Rethinking Classifier and Adversarial Attack Youhuan Yang Lei Sun Leyu Dai Song Guo Xiuqing Mao Xiaoqin Wang Bayi Xu AAML 55 0 0 04 May 2022
MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer Shoukun Sun Min Xian Aleksandar Vakanski Hossny Ghanem OOD 38 4 0 02 May 2022
Enhancing Adversarial Training with Feature Separability Yaxin Li Xiaorui Liu Han Xu Wentao Wang Jiliang Tang AAML GAN 23 1 0 02 May 2022
VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization Minghui Chen Cheng Wen Feng Zheng Fengxiang He Ling Shao OODD 46 5 0 25 Apr 2022
How Sampling Impacts the Robustness of Stochastic Neural Networks Sina Daubener Asja Fischer SILM AAML 53 1 0 22 Apr 2022
Adversarial Contrastive Learning by Permuting Cluster Assignments Muntasir Wahed Afrina Tabassum Ismini Lourentzou SSL 30 5 0 21 Apr 2022
Backdooring Explainable Machine Learning Maximilian Noppel Lukas Peter Christian Wressnegger AAML 79 5 0 20 Apr 2022
SETTI: A Self-supervised Adversarial Malware Detection Architecture in an IoT Environment Marjan Golmaryami R. Taheri Zahra Pooranian Mohammad Shojafar Pei Xiao 56 15 0 16 Apr 2022
Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning Mathias Lechner Alexander Amini Daniela Rus T. Henzinger AAML 91 10 0 15 Apr 2022
Q-TART: Quickly Training for Adversarial Robustness and in-Transferability Madan Ravi Ganesh Salimeh Yasaei Sekeh Jason J. Corso AAML 33 1 0 14 Apr 2022
The Effects of Regularization and Data Augmentation are Class Dependent Randall Balestriero Léon Bottou Yann LeCun 107 97 0 07 Apr 2022
Adversarial Robustness through the Lens of Convolutional Filters Paul Gavrikov J. Keuper 70 15 0 05 Apr 2022
Improving Vision Transformers by Revisiting High-frequency Components Jiawang Bai Liuliang Yuan Shutao Xia Shuicheng Yan Zhifeng Li Wen Liu ViT 108 94 0 03 Apr 2022
FrequencyLowCut Pooling -- Plug & Play against Catastrophic Overfitting Julia Grabinski Steffen Jung J. Keuper Margret Keuper AAML 73 22 0 01 Apr 2022
Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond Yi Yu Wenhan Yang Yap-Peng Tan Alex C. Kot AAML 101 65 0 31 Mar 2022
CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters Paul Gavrikov J. Keuper AAML 105 31 0 29 Mar 2022
Robust Unlearnable Examples: Protecting Data Against Adversarial Learning Shaopeng Fu Fengxiang He Yang Liu Li Shen Dacheng Tao 80 26 0 28 Mar 2022
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective Yimeng Zhang Yuguang Yao Jinghan Jia Jinfeng Yi Min-Fong Hong Shiyu Chang Sijia Liu AAML 126 34 0 27 Mar 2022
Reverse Engineering of Imperceptible Adversarial Image Perturbations Yifan Gong Yuguang Yao Yize Li Yimeng Zhang Xiaoming Liu Xinyu Lin Sijia Liu AAML 172 21 0 26 Mar 2022
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies Zhuang Qian Kaizhu Huang Qiufeng Wang Xu-Yao Zhang OOD AAML ObjD 128 73 0 26 Mar 2022
A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin AAML 76 15 0 25 Mar 2022
A Manifold View of Adversarial Risk Wen-jun Zhang Yikai Zhang Xiaoling Hu Mayank Goswami Chao Chen Dimitris N. Metaxas AAML 55 6 0 24 Mar 2022
On Robust Prefix-Tuning for Text Classification Zonghan Yang Yang Liu VLM 68 21 0 19 Mar 2022
Towards Robust 2D Convolution for Reliable Visual Recognition Lida Li Shuai Li Kun Wang Xiangchu Feng Lei Zhang 34 1 0 18 Mar 2022
Self-Ensemble Adversarial Training for Improved Robustness Hongjun Wang Yisen Wang OOD AAML 58 51 0 18 Mar 2022
On the Properties of Adversarially-Trained CNNs Mattia Carletti M. Terzi Gian Antonio Susto AAML 59 1 0 17 Mar 2022
Robustness through Cognitive Dissociation Mitigation in Contrastive Adversarial Training Adir Rahamim I. Naeh AAML 126 1 0 16 Mar 2022
Task-Agnostic Robust Representation Learning A. Nguyen Ser Nam Lim Philip Torr SSL OOD 18 4 0 15 Mar 2022
LAS-AT: Adversarial Training with Learnable Attack Strategy Xiaojun Jia Yong Zhang Baoyuan Wu Ke Ma Jue Wang Xiaochun Cao AAML 76 140 0 13 Mar 2022
Enhancing Adversarial Training with Second-Order Statistics of Weights Gao Jin Xinping Yi Wei Huang S. Schewe Xiaowei Huang AAML 89 48 0 11 Mar 2022
Exploiting the Potential of Datasets: A Data-Centric Approach for Model Robustness Yiqi Zhong Lei Wu Xianming Liu Junjun Jiang AAML 34 9 0 10 Mar 2022
Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack Ye Liu Yaya Cheng Lianli Gao Xianglong Liu Qilong Zhang Jingkuan Song AAML 109 61 0 10 Mar 2022
Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity Cheng Luo Qinliang Lin Weicheng Xie Bizhu Wu Jinheng Xie Linlin Shen AAML 123 105 0 10 Mar 2022
Defending Black-box Skeleton-based Human Activity Classifiers He Wang Yunfeng Diao Zichang Tan G. Guo AAML 133 10 0 09 Mar 2022
Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Score for Area V4 William Berrios Arturo Deza MedIm ViT 84 13 0 08 Mar 2022