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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
Robustly-reliable learners under poisoning attacks Maria-Florina Balcan Avrim Blum Steve Hanneke Dravyansh Sharma AAML OOD 75 16 0 08 Mar 2022
Towards Efficient Data-Centric Robust Machine Learning with Noise-based Augmentation Xiaogeng Liu Haoyu Wang Yechao Zhang Fangzhou Wu Shengshan Hu OOD 84 12 0 08 Mar 2022
Why adversarial training can hurt robust accuracy Jacob Clarysse Julia Hörrmann Fanny Yang AAML 43 19 0 03 Mar 2022
Ensemble Methods for Robust Support Vector Machines using Integer Programming Jannis Kurtz 21 0 0 03 Mar 2022
Enhancing Adversarial Robustness for Deep Metric Learning Mo Zhou Vishal M. Patel AAML 107 18 0 02 Mar 2022
Global-Local Regularization Via Distributional Robustness Hoang Phan Trung Le Trung-Nghia Phung Tu Bui Nhat Ho Dinh Q. Phung OOD 91 13 0 01 Mar 2022
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses Francesco Croce Sven Gowal T. Brunner Evan Shelhamer Matthias Hein A. Cemgil TTA AAML 237 70 0 28 Feb 2022
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training Tu Bui Trung Le Quan Hung Tran He Zhao Dinh Q. Phung AAML OOD 99 45 0 27 Feb 2022
Adversarial robustness of sparse local Lipschitz predictors Ramchandran Muthukumar Jeremias Sulam AAML 92 13 0 26 Feb 2022
ARIA: Adversarially Robust Image Attribution for Content Provenance Maksym Andriushchenko Xiaochen Li Geoffrey Oxholm Thomas Gittings Tu Bui Nicolas Flammarion John Collomosse AAML 44 2 0 25 Feb 2022
Understanding Adversarial Robustness from Feature Maps of Convolutional Layers Cong Xu Wei Zhang Jun Wang Min Yang AAML 62 2 0 25 Feb 2022
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning Hao He Kaiwen Zha Dina Katabi AAML 109 34 0 22 Feb 2022
On the Effectiveness of Adversarial Training against Backdoor Attacks Yinghua Gao Dongxian Wu Jingfeng Zhang Guanhao Gan Shutao Xia Gang Niu Masashi Sugiyama AAML 83 23 0 22 Feb 2022
Privacy Leakage of Adversarial Training Models in Federated Learning Systems Jingyang Zhang Yiran Chen Hai Helen Li FedML PICV 136 16 0 21 Feb 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition Tianyu Pang Min Lin Xiao Yang Junyi Zhu Shuicheng Yan 120 124 0 21 Feb 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training Tianlong Chen Zhenyu Zhang Pengju Wang Santosh Balachandra Haoyu Ma Zehao Wang Zhangyang Wang OOD AAML 149 50 0 20 Feb 2022
Exploring Adversarially Robust Training for Unsupervised Domain Adaptation Shao-Yuan Lo Vishal M. Patel AAML 85 8 0 18 Feb 2022
Holistic Adversarial Robustness of Deep Learning Models Pin-Yu Chen Sijia Liu AAML 103 16 0 15 Feb 2022
Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark Yonghao Xu Pedram Ghamisi AAML 71 73 0 14 Feb 2022
Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness Avrim Blum Omar Montasser G. Shakhnarovich Hongyang R. Zhang 60 2 0 11 Feb 2022
Improving Generalization via Uncertainty Driven Perturbations Matteo Pagliardini Gilberto Manunza Martin Jaggi Michael I. Jordan Tatjana Chavdarova AAML AI4CE 78 4 0 11 Feb 2022
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles Ashish Hooda Neal Mangaokar Ryan Feng Kassem Fawaz S. Jha Atul Prakash 95 11 0 11 Feb 2022
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations Lei Hsiung Yun-Yun Tsai Pin-Yu Chen Tsung-Yi Ho AAML 79 30 0 09 Feb 2022
Verification-Aided Deep Ensemble Selection Guy Amir Tom Zelazny Guy Katz Michael Schapira AAML 114 18 0 08 Feb 2022
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training Shiwei Liu Tianlong Chen Xiaohan Chen Li Shen Decebal Constantin Mocanu Zhangyang Wang Mykola Pechenizkiy 98 113 0 05 Feb 2022
Layer-wise Regularized Adversarial Training using Layers Sustainability Analysis (LSA) framework Mohammad Khalooei M. Homayounpour M. Amirmazlaghani AAML 63 3 0 05 Feb 2022
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization Xiaojun Xu Jacky Y. Zhang Evelyn Ma Danny Son Oluwasanmi Koyejo Yue Liu 99 12 0 03 Feb 2022
Learnability Lock: Authorized Learnability Control Through Adversarial Invertible Transformations Weiqi Peng Jinghui Chen AAML 67 5 0 03 Feb 2022
Smoothed Embeddings for Certified Few-Shot Learning Mikhail Aleksandrovich Pautov Olesya Kuznetsova Nurislam Tursynbek Aleksandr Petiushko Ivan Oseledets 92 6 0 02 Feb 2022
Probabilistically Robust Learning: Balancing Average- and Worst-case Performance Alexander Robey Luiz F. O. Chamon George J. Pappas Hamed Hassani AAML OOD 109 43 0 02 Feb 2022
An Eye for an Eye: Defending against Gradient-based Attacks with Gradients Hanbin Hong Yuan Hong Yu Kong AAML 60 2 0 02 Feb 2022
Can Adversarial Training Be Manipulated By Non-Robust Features? Lue Tao Lei Feng Hongxin Wei Jinfeng Yi Sheng-Jun Huang Songcan Chen AAML 257 17 0 31 Jan 2022
Improving Robustness by Enhancing Weak Subnets Yong Guo David Stutz Bernt Schiele AAML 149 15 0 30 Jan 2022
Scale-Invariant Adversarial Attack for Evaluating and Enhancing Adversarial Defenses Mengting Xu Tao Zhang Zhongnian Li Daoqiang Zhang AAML 69 1 0 29 Jan 2022
What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic Contradiction Yijun Yang Ruiyuan Gao Yu Li Qiuxia Lai Qiang Xu GAN AAML 106 20 0 24 Jan 2022
Efficient and Robust Classification for Sparse Attacks M. Beliaev Payam Delgosha Hamed Hassani Ramtin Pedarsani AAML 56 2 0 23 Jan 2022
Robust Unpaired Single Image Super-Resolution of Faces Saurabh Goswami A. N. Rajagopalan AAML CVBM 39 0 0 22 Jan 2022
Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective Jihong Wang Minnan Luo Jundong Li Ziqi Liu Jun Zhou Qinghua Zheng AAML 51 5 0 21 Jan 2022
Transferability in Deep Learning: A Survey Junguang Jiang Yang Shu Jianmin Wang Mingsheng Long OOD 93 104 0 15 Jan 2022
Towards Adversarially Robust Deep Image Denoising Hanshu Yan Jingfeng Zhang Jiashi Feng Masashi Sugiyama Vincent Y. F. Tan DiffM 57 17 0 12 Jan 2022
Towards Transferable Unrestricted Adversarial Examples with Minimum Changes Fangcheng Liu Chaoning Zhang Hongyang R. Zhang AAML 88 21 0 04 Jan 2022
Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions Marwan Omar Soohyeon Choi Daehun Nyang David A. Mohaisen 80 58 0 03 Jan 2022
Improving the Behaviour of Vision Transformers with Token-consistent Stochastic Layers Nikola Popovic D. Paudel Thomas Probst Luc Van Gool 78 1 0 30 Dec 2021
Super-Efficient Super Resolution for Fast Adversarial Defense at the Edge Kartikeya Bhardwaj Dibakar Gope James Ward P. Whatmough Danny Loh AAML 30 4 0 29 Dec 2021
Stealthy Attack on Algorithmic-Protected DNNs via Smart Bit Flipping B. Ghavami Seyd Movi Zhenman Fang Lesley Shannon AAML 64 9 0 25 Dec 2021
Adaptive Modeling Against Adversarial Attacks Zhiwen Yan Teck Khim Ng AAML 41 0 0 23 Dec 2021
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization Yihua Zhang Guanhua Zhang Prashant Khanduri Min-Fong Hong Shiyu Chang Sijia Liu AAML 102 89 0 23 Dec 2021
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness? Xinhsuai Dong Anh Tuan Luu Min Lin Shuicheng Yan Hanwang Zhang SILM AAML 71 62 0 22 Dec 2021
Adversarially Robust Stability Certificates can be Sample-Efficient Thomas T. Zhang Stephen Tu Nicholas M. Boffi Jean-Jacques E. Slotine Nikolai Matni AAML 72 7 0 20 Dec 2021
Sharpness-Aware Minimization with Dynamic Reweighting Wenxuan Zhou Fangyu Liu Huan Zhang Muhao Chen AAML 48 8 0 16 Dec 2021