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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
Constrained Learning with Non-Convex Losses Luiz F. O. Chamon Santiago Paternain Miguel Calvo-Fullana Alejandro Ribeiro 105 38 0 08 Mar 2021
Consistency Regularization for Adversarial Robustness Jihoon Tack Sihyun Yu Jongheon Jeong Minseon Kim Sung Ju Hwang Jinwoo Shin AAML 111 61 0 08 Mar 2021
Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack Mengting Xu Tao Zhang Zhongnian Li Mingxia Liu Daoqiang Zhang AAML OOD MedIm 105 45 0 05 Mar 2021
Hard-label Manifolds: Unexpected Advantages of Query Efficiency for Finding On-manifold Adversarial Examples Washington Garcia Pin-Yu Chen S. Jha Scott Clouse Kevin R. B. Butler AAML 43 0 0 04 Mar 2021
Dynamic Efficient Adversarial Training Guided by Gradient Magnitude Fu Lee Wang Yanghao Zhang Yanbin Zheng Wenjie Ruan 69 1 0 04 Mar 2021
Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations Yu-Lin Tsai Chia-Yi Hsu Chia-Mu Yu Pin-Yu Chen AAML OOD 61 27 0 03 Mar 2021
Fixing Data Augmentation to Improve Adversarial Robustness Sylvestre-Alvise Rebuffi Sven Gowal D. A. Calian Florian Stimberg Olivia Wiles Timothy A. Mann AAML 121 276 0 02 Mar 2021
Adversarial Examples can be Effective Data Augmentation for Unsupervised Machine Learning Chia-Yi Hsu Pin-Yu Chen Songtao Lu Sijia Liu Chia-Mu Yu AAML 93 11 0 02 Mar 2021
Smoothness Analysis of Adversarial Training Sekitoshi Kanai Masanori Yamada Hiroshi Takahashi Yuki Yamanaka Yasutoshi Ida AAML 95 6 0 02 Mar 2021
A Multiclass Boosting Framework for Achieving Fast and Provable Adversarial Robustness Jacob D. Abernethy Pranjal Awasthi Satyen Kale AAML 59 6 0 01 Mar 2021
Explaining Adversarial Vulnerability with a Data Sparsity Hypothesis Mahsa Paknezhad Cuong Phuc Ngo Amadeus Aristo Winarto Alistair Cheong Beh Chuen Yang Wu Jiayang Lee Hwee Kuan OOD AAML 74 9 0 01 Mar 2021
Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective Tianlong Chen Yu Cheng Zhe Gan Jingjing Liu Zhangyang Wang 82 52 0 28 Feb 2021
Tiny Adversarial Mulit-Objective Oneshot Neural Architecture Search Guoyang Xie Jinbao Wang Guo-Ding Yu Feng Zheng Yaochu Jin AAML 71 6 0 28 Feb 2021
Multiplicative Reweighting for Robust Neural Network Optimization Noga Bar Tomer Koren Raja Giryes OOD NoLa 81 9 0 24 Feb 2021
On the robustness of randomized classifiers to adversarial examples Rafael Pinot Laurent Meunier Florian Yger Cédric Gouy-Pailler Y. Chevaleyre Jamal Atif AAML 75 14 0 22 Feb 2021
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning Ren Wang Kaidi Xu Sijia Liu Pin-Yu Chen Tsui-Wei Weng Chuang Gan Meng Wang AAML 97 47 0 20 Feb 2021
Improving Hierarchical Adversarial Robustness of Deep Neural Networks A. Ma Aladin Virmaux Kevin Scaman Juwei Lu AAML 52 5 0 17 Feb 2021
Globally-Robust Neural Networks Klas Leino Zifan Wang Matt Fredrikson AAML OOD 162 131 0 16 Feb 2021
Low Curvature Activations Reduce Overfitting in Adversarial Training Vasu Singla Sahil Singla David Jacobs Soheil Feizi AAML 102 47 0 15 Feb 2021
Data Quality Matters For Adversarial Training: An Empirical Study Chengyu Dong Liyuan Liu Jingbo Shang AAML 56 10 0 15 Feb 2021
Guided Interpolation for Adversarial Training Chen Chen Jingfeng Zhang Xilie Xu Tianlei Hu Gang Niu Gang Chen Masashi Sugiyama AAML 83 10 0 15 Feb 2021
CAP-GAN: Towards Adversarial Robustness with Cycle-consistent Attentional Purification Mingu Kang T. Tran Seungju Cho Daeyoung Kim AAML 49 3 0 15 Feb 2021
Mixed Nash Equilibria in the Adversarial Examples Game Laurent Meunier M. Scetbon Rafael Pinot Jamal Atif Y. Chevaleyre AAML 91 30 0 13 Feb 2021
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning Yifan Zhang Bryan Hooi Dapeng Hu Jian Liang Jiashi Feng 129 64 0 12 Feb 2021
Understanding the Interaction of Adversarial Training with Noisy Labels Jianing Zhu Jingfeng Zhang Bo Han Tongliang Liu Gang Niu Hongxia Yang Mohan Kankanhalli Masashi Sugiyama AAML 97 27 0 06 Feb 2021
Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression Masanori Yamada Sekitoshi Kanai Tomoharu Iwata Tomokatsu Takahashi Yuki Yamanaka Hiroshi Takahashi Atsutoshi Kumagai AAML 124 9 0 05 Feb 2021
PredCoin: Defense against Query-based Hard-label Attack Junfeng Guo Yaswanth Yadlapalli Lothar Thiele Ang Li Cong Liu AAML 49 0 0 04 Feb 2021
IWA: Integrated Gradient based White-box Attacks for Fooling Deep Neural Networks Yixiang Wang Jiqiang Liu Xiaolin Chang J. Misic Vojislav B. Mišić AAML 69 12 0 03 Feb 2021
Recent Advances in Adversarial Training for Adversarial Robustness Tao Bai Jinqi Luo Jun Zhao Bihan Wen Qian Wang AAML 194 496 0 02 Feb 2021
Fast Training of Provably Robust Neural Networks by SingleProp Akhilan Boopathy Tsui-Wei Weng Sijia Liu Pin-Yu Chen Gaoyuan Zhang Luca Daniel AAML 57 7 0 01 Feb 2021
Admix: Enhancing the Transferability of Adversarial Attacks Xiaosen Wang Xu He Jingdong Wang Kun He AAML 151 201 0 31 Jan 2021
ResLT: Residual Learning for Long-tailed Recognition Jiequan Cui Shu Liu Zhuotao Tian Zhisheng Zhong Jiaya Jia 88 136 0 26 Jan 2021
A Comprehensive Evaluation Framework for Deep Model Robustness Jun Guo Wei Bao Jiakai Wang Yuqing Ma Xing Gao Gang Xiao Aishan Liu Zehao Zhao Xianglong Liu Wenjun Wu AAML ELM 97 61 0 24 Jan 2021
Online Adversarial Purification based on Self-Supervision Changhao Shi Chester Holtz Zhengchao Wan AAML 82 57 0 23 Jan 2021
A Person Re-identification Data Augmentation Method with Adversarial Defense Effect Yunpeng Gong Zhiyong Zeng Liwen Chen Yi-Xiao Luo Bin Weng Feng Ye AAML 83 19 0 21 Jan 2021
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh 121 169 0 21 Jan 2021
Adversarial Interaction Attack: Fooling AI to Misinterpret Human Intentions Nodens Koren Qiuhong Ke Yisen Wang James Bailey Xingjun Ma AAML 41 1 0 17 Jan 2021
Removing Undesirable Feature Contributions Using Out-of-Distribution Data Saehyung Lee Changhwa Park Hyungyu Lee Jihun Yi Jonghyun Lee Sungroh Yoon OODD 102 26 0 17 Jan 2021
Robusta: Robust AutoML for Feature Selection via Reinforcement Learning Xiaoyang Sean Wang Yue Liu Yibo Jacky Zhang B. Kailkhura Klara Nahrstedt 26 3 0 15 Jan 2021
Unlearnable Examples: Making Personal Data Unexploitable Hanxun Huang Xingjun Ma S. Erfani James Bailey Yisen Wang MIACV 259 195 0 13 Jan 2021
Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records Yiqin Yu Pin-Yu Chen Yuan Zhou Jing Mei OOD 30 1 0 13 Jan 2021
Understanding the Error in Evaluating Adversarial Robustness Pengfei Xia Ziqiang Li Hongjing Niu Bin Li AAML ELM 76 5 0 07 Jan 2021
A Simple Fine-tuning Is All You Need: Towards Robust Deep Learning Via Adversarial Fine-tuning Ahmadreza Jeddi M. Shafiee A. Wong AAML 84 40 0 25 Dec 2020
Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training Theodoros Tsiligkaridis Jay Roberts AAML 206 11 0 22 Dec 2020
Discovering Robust Convolutional Architecture at Targeted Capacity: A Multi-Shot Approach Xuefei Ning Jiaqi Zhao Wenshuo Li Tianchen Zhao Yin Zheng Huazhong Yang Yu Wang AAML 95 5 0 22 Dec 2020
Self-Progressing Robust Training Minhao Cheng Pin-Yu Chen Sijia Liu Shiyu Chang Cho-Jui Hsieh Payel Das AAML VLM 74 9 0 22 Dec 2020
Recent advances in deep learning theory Fengxiang He Dacheng Tao AI4CE 130 51 0 20 Dec 2020
On the human-recognizability phenomenon of adversarially trained deep image classifiers Jonathan W. Helland Nathan M. VanHoudnos AAML 54 4 0 18 Dec 2020
Adversarially Robust Estimate and Risk Analysis in Linear Regression Yue Xing Ruizhi Zhang Guang Cheng AAML 64 28 0 18 Dec 2020
Composite Adversarial Attacks Xiaofeng Mao YueFeng Chen Shuhui Wang Hang Su Yuan He Hui Xue AAML 87 50 0 10 Dec 2020