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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
Label Smoothing and Adversarial Robustness Chaohao Fu Hongbin Chen Na Ruan Weijia Jia AAML 52 12 0 17 Sep 2020
Are Interpretations Fairly Evaluated? A Definition Driven Pipeline for Post-Hoc Interpretability Ninghao Liu Yunsong Meng Helen Zhou Tie Wang Bo Long XAI FAtt 79 7 0 16 Sep 2020
Input Hessian Regularization of Neural Networks Waleed Mustafa Robert A. Vandermeulen Marius Kloft AAML 54 12 0 14 Sep 2020
Defending Against Multiple and Unforeseen Adversarial Videos Shao-Yuan Lo Vishal M. Patel AAML 72 24 0 11 Sep 2020
Quantifying the Preferential Direction of the Model Gradient in Adversarial Training With Projected Gradient Descent Ricardo Bigolin Lanfredi Joyce D. Schroeder Tolga Tasdizen 60 12 0 10 Sep 2020
SoK: Certified Robustness for Deep Neural Networks Linyi Li Tao Xie Yue Liu AAML 123 131 0 09 Sep 2020
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks Wei-An Lin Chun Pong Lau Alexander Levine Ramalingam Chellappa Soheil Feizi AAML 121 60 0 05 Sep 2020
Perceptual Deep Neural Networks: Adversarial Robustness through Input Recreation Danilo Vasconcellos Vargas Bingli Liao Takahiro Kanzaki AAML 43 3 0 02 Sep 2020
Adversarially Robust Neural Architectures Minjing Dong Yanxi Li Yunhe Wang Chang Xu AAML OOD 93 49 0 02 Sep 2020
Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics Yanchao Sun Da Huo Furong Huang AAML OffRL OnRL 112 52 0 02 Sep 2020
Shape Defense Against Adversarial Attacks Ali Borji AAML 31 1 0 31 Aug 2020
Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses Fu-Huei Lin Rohit Mittapalli Prithvijit Chattopadhyay Daniel Bolya Judy Hoffman AAML 63 2 0 25 Aug 2020
Towards adversarial robustness with 01 loss neural networks Yunzhe Xue Meiyan Xie Usman Roshan OOD AAML 64 5 0 20 Aug 2020
$On $\ell_p$-norm Robustness of Ensemble Stumps and Trees$ On $\ell_p$ -norm Robustness of Ensemble Stumps and Trees Yihan Wang Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh AAML 42 7 0 20 Aug 2020
Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training Alfred Laugros A. Caplier Matthieu Ospici AAML 117 19 0 19 Aug 2020
Adversarial Concurrent Training: Optimizing Robustness and Accuracy Trade-off of Deep Neural Networks Elahe Arani F. Sarfraz Bahram Zonooz AAML 60 9 0 16 Aug 2020
Optimizing Information Loss Towards Robust Neural Networks Philip Sperl Konstantin Böttinger AAML 45 3 0 07 Aug 2020
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases Ren Wang Gaoyuan Zhang Sijia Liu Pin-Yu Chen Jinjun Xiong Meng Wang AAML 148 149 0 31 Jul 2020
Stylized Adversarial Defense Muzammal Naseer Salman Khan Munawar Hayat Fahad Shahbaz Khan Fatih Porikli GAN AAML 80 16 0 29 Jul 2020
Robust Machine Learning via Privacy/Rate-Distortion Theory Ye Wang Shuchin Aeron Adnan Siraj Rakin T. Koike-Akino P. Moulin OOD 74 6 0 22 Jul 2020
Adversarial Training Reduces Information and Improves Transferability M. Terzi Alessandro Achille Marco Maggipinto Gian Antonio Susto AAML 106 23 0 22 Jul 2020
Backdoor Learning: A Survey Yiming Li Yong Jiang Zhifeng Li Shutao Xia AAML 176 614 0 17 Jul 2020
Understanding and Diagnosing Vulnerability under Adversarial Attacks Haizhong Zheng Ziqi Zhang Honglak Lee A. Prakash FAtt AAML 76 6 0 17 Jul 2020
Do Adversarially Robust ImageNet Models Transfer Better? Hadi Salman Andrew Ilyas Logan Engstrom Ashish Kapoor Aleksander Madry 139 428 0 16 Jul 2020
On Adversarial Robustness: A Neural Architecture Search perspective Chaitanya Devaguptapu Devansh Agarwal Gaurav Mittal Pulkit Gopalani V. Balasubramanian OOD AAML 68 34 0 16 Jul 2020
Robustifying Reinforcement Learning Agents via Action Space Adversarial Training Kai Liang Tan Yasaman Esfandiari Xian Yeow Lee Aakanksha Soumik Sarkar AAML 135 56 0 14 Jul 2020
Adversarial robustness via robust low rank representations Pranjal Awasthi Himanshu Jain A. S. Rawat Aravindan Vijayaraghavan AAML 56 23 0 13 Jul 2020
Adversarial jamming attacks and defense strategies via adaptive deep reinforcement learning Feng Wang Chen Zhong M. C. Gursoy Senem Velipasalar AAML 50 8 0 12 Jul 2020
Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples S. Goldwasser Adam Tauman Kalai Y. Kalai Omar Montasser AAML 81 41 0 10 Jul 2020
Improving Adversarial Robustness by Enforcing Local and Global Compactness Anh-Vu Bui Trung Le He Zhao Paul Montague O. deVel Tamas Abraham Dinh Q. Phung AAML 60 24 0 10 Jul 2020
Boundary thickness and robustness in learning models Yaoqing Yang Rekha Khanna Yaodong Yu A. Gholami Kurt Keutzer Joseph E. Gonzalez Kannan Ramchandran Michael W. Mahoney OOD 72 42 0 09 Jul 2020
How benign is benign overfitting? Amartya Sanyal P. Dokania Varun Kanade Philip Torr NoLa AAML 89 58 0 08 Jul 2020
Understanding and Improving Fast Adversarial Training Maksym Andriushchenko Nicolas Flammarion AAML 103 294 0 06 Jul 2020
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey S. Silva Peyman Najafirad AAML OOD 104 135 0 01 Jul 2020
Measuring Robustness to Natural Distribution Shifts in Image Classification Rohan Taori Achal Dave Vaishaal Shankar Nicholas Carlini Benjamin Recht Ludwig Schmidt OOD 130 549 0 01 Jul 2020
Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification Chen Dan Yuting Wei Pradeep Ravikumar 74 45 0 29 Jun 2020
Proper Network Interpretability Helps Adversarial Robustness in Classification Akhilan Boopathy Sijia Liu Gaoyuan Zhang Cynthia Liu Pin-Yu Chen Shiyu Chang Luca Daniel AAML FAtt 118 66 0 26 Jun 2020
Smooth Adversarial Training Cihang Xie Mingxing Tan Boqing Gong Alan Yuille Quoc V. Le OOD 94 154 0 25 Jun 2020
Imbalanced Gradients: A Subtle Cause of Overestimated Adversarial Robustness Xingjun Ma Linxi Jiang Hanxun Huang Zejia Weng James Bailey Yu-Gang Jiang AAML 77 10 0 24 Jun 2020
RayS: A Ray Searching Method for Hard-label Adversarial Attack Jinghui Chen Quanquan Gu AAML 85 139 0 23 Jun 2020
Perceptual Adversarial Robustness: Defense Against Unseen Threat Models Cassidy Laidlaw Sahil Singla Soheil Feizi AAML OOD 109 189 0 22 Jun 2020
Improving Adversarial Robustness via Unlabeled Out-of-Domain Data Zhun Deng Linjun Zhang Amirata Ghorbani James Zou 90 32 0 15 Jun 2020
Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances Meisam Razaviyayn Tianjian Huang Songtao Lu Maher Nouiehed Maziar Sanjabi Mingyi Hong 77 116 0 15 Jun 2020
The Pitfalls of Simplicity Bias in Neural Networks Harshay Shah Kaustav Tamuly Aditi Raghunathan Prateek Jain Praneeth Netrapalli AAML 76 364 0 13 Jun 2020
Rethinking Clustering for Robustness Motasem Alfarra Juan C. Pérez Adel Bibi Ali K. Thabet Pablo Arbelaez Guohao Li OOD 39 0 0 13 Jun 2020
Adversarial Self-Supervised Contrastive Learning Minseon Kim Jihoon Tack Sung Ju Hwang SSL 90 251 0 13 Jun 2020
Large-Scale Adversarial Training for Vision-and-Language Representation Learning Zhe Gan Yen-Chun Chen Linjie Li Chen Zhu Yu Cheng Jingjing Liu ObjD VLM 127 501 0 11 Jun 2020
Probably Approximately Correct Constrained Learning Luiz F. O. Chamon Alejandro Ribeiro 78 42 0 09 Jun 2020
Provable tradeoffs in adversarially robust classification Yan Sun Hamed Hassani David Hong Alexander Robey 107 56 0 09 Jun 2020
Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization Daniel Golovin Qiuyi Zhang 87 75 0 08 Jun 2020