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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
Improving the Robustness of Adversarial Attacks Using an Affine-Invariant Gradient Estimator Wenzhao Xiang Hang Su Chang-rui Liu Yandong Guo Shibao Zheng AAML 83 6 0 13 Sep 2021
Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain Hasan Hammoud Guohao Li AAML 89 14 0 12 Sep 2021
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques Shiyu Tang Ruihao Gong Yan Wang Aishan Liu Jiakai Wang ... Xianglong Liu Basel Alomair Alan Yuille Philip Torr Dacheng Tao VLM AAML 96 108 0 11 Sep 2021
Energy Attack: On Transferring Adversarial Examples Ruoxi Shi Borui Yang Yangzhou Jiang Chenglong Zhao Bingbing Ni AAML 28 2 0 09 Sep 2021
Regional Adversarial Training for Better Robust Generalization Chuanbiao Song Yanbo Fan Yichen Yang Baoyuan Wu Yiming Li Zhifeng Li Kun He AAML OOD 131 8 0 02 Sep 2021
R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors Alberto Marchisio Giacomo Pira Maurizio Martina Guido Masera Mohamed Bennai AAML 68 12 0 01 Sep 2021
Benchmarking the Accuracy and Robustness of Feedback Alignment Algorithms Albert Jiménez Sanfiz Mohamed Akrout OOD AAML 78 8 0 30 Aug 2021
Investigating Vulnerabilities of Deep Neural Policies Ezgi Korkmaz AAML 55 34 0 30 Aug 2021
Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution Zongyi Li Jianhan Xu Jiehang Zeng Linyang Li Xiaoqing Zheng Qi Zhang Kai-Wei Chang Cho-Jui Hsieh AAML 50 74 0 29 Aug 2021
Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications Wenjie Ruan Xinping Yi Xiaowei Huang AAML OOD 52 17 0 24 Aug 2021
Towards Understanding the Generative Capability of Adversarially Robust Classifiers Yao Zhu Jiacheng Ma Jiacheng Sun Zewei Chen Rongxin Jiang Zhenguo Li AAML 75 24 0 20 Aug 2021
Neural Architecture Dilation for Adversarial Robustness Yanxi Li Zhaohui Yang Yunhe Wang Chang Xu AAML 64 24 0 16 Aug 2021
Deep Adversarially-Enhanced k-Nearest Neighbors Ren Wang Tianqi Chen Alfred Hero 87 0 0 15 Aug 2021
On Procedural Adversarial Noise Attack And Defense Jun Yan Xiaoyang Deng Huilin Yin Wancheng Ge AAML 56 2 0 10 Aug 2021
Neural Network Repair with Reachability Analysis Xiaodong Yang Tomochika Yamaguchi Hoang-Dung Tran Bardh Hoxha Taylor T. Johnson Danil Prokhorov AAML 62 30 0 09 Aug 2021
AdvRush: Searching for Adversarially Robust Neural Architectures J. Mok Byunggook Na Hyeokjun Choe Sungroh Yoon OOD AAML 85 45 0 03 Aug 2021
Enhancing Adversarial Robustness via Test-time Transformation Ensembling Juan C. Pérez Motasem Alfarra Guillaume Jeanneret Laura Rueda Ali K. Thabet Guohao Li Pablo Arbelaez 71 26 0 29 Jul 2021
Imbalanced Adversarial Training with Reweighting Wentao Wang Han Xu Xiaorui Liu Yaxin Li B. Thuraisingham Jiliang Tang 84 16 0 28 Jul 2021
Towards Robustness Against Natural Language Word Substitutions Xinshuai Dong Anh Tuan Luu Rongrong Ji Hong Liu SILM AAML 169 115 0 28 Jul 2021
Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them Florian Tramèr AAML 91 71 0 24 Jul 2021
Built-in Elastic Transformations for Improved Robustness Sadaf Gulshad Ivan Sosnovik A. Smeulders AAML 52 1 0 20 Jul 2021
AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense Duhun Hwang Eunjung Lee Wonjong Rhee AAML 221 16 0 14 Jul 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 192 212 0 12 Jul 2021
Identifying Layers Susceptible to Adversarial Attacks Shoaib Ahmed Siddiqui Thomas Breuel AAML 32 1 0 10 Jul 2021
Towards Robust General Medical Image Segmentation Laura Alexandra Daza Juan C. Pérez Pablo Arbelaez OOD 78 27 0 09 Jul 2021
Improving Model Robustness with Latent Distribution Locally and Globally Zhuang Qian Shufei Zhang Kaizhu Huang Qiufeng Wang Rui Zhang Xinping Yi AAML 73 14 0 08 Jul 2021
Predicting Disease Progress with Imprecise Lab Test Results Mei Wang Jianwen Su Zhi-kai Lin 79 0 0 08 Jul 2021
GradDiv: Adversarial Robustness of Randomized Neural Networks via Gradient Diversity Regularization Sungyoon Lee Hoki Kim Jaewook Lee AAML 84 55 0 06 Jul 2021
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks Alberto Marchisio Giacomo Pira Maurizio Martina Guido Masera Mohamed Bennai AAML 93 31 0 01 Jul 2021
Local Reweighting for Adversarial Training Ruize Gao Feng Liu Kaiwen Zhou Gang Niu Bo Han James Cheng AAML OOD 32 6 0 30 Jun 2021
The Values Encoded in Machine Learning Research Abeba Birhane Pratyusha Kalluri Dallas Card William Agnew Ravit Dotan Michelle Bao 89 295 0 29 Jun 2021
Attack Transferability Characterization for Adversarially Robust Multi-label Classification Zhuo Yang Yufei Han Xiangliang Zhang AAML 50 4 0 29 Jun 2021
ASK: Adversarial Soft k-Nearest Neighbor Attack and Defense Ren Wang Tianqi Chen Philip Yao Sijia Liu I. Rajapakse Alfred Hero AAML OOD 59 5 0 27 Jun 2021
On the (Un-)Avoidability of Adversarial Examples Sadia Chowdhury Ruth Urner AAML 57 1 0 24 Jun 2021
Reachability Analysis of Convolutional Neural Networks Xiaodong Yang Tomoya Yamaguchi Hoang-Dung Tran Bardh Hoxha Taylor T. Johnson Danil Prokhorov FAtt 45 6 0 22 Jun 2021
Long-term Cross Adversarial Training: A Robust Meta-learning Method for Few-shot Classification Tasks Fan Liu Shuyu Zhao Xuelong Dai Bin Xiao VLM 85 8 0 22 Jun 2021
Can contrastive learning avoid shortcut solutions? Joshua Robinson Li Sun Ke Yu Kayhan Batmanghelich Stefanie Jegelka S. Sra SSL 110 146 0 21 Jun 2021
Residual Error: a New Performance Measure for Adversarial Robustness Hossein Aboutalebi M. Shafiee Michelle Karg C. Scharfenberger Alexander Wong AAML 21 1 0 18 Jun 2021
Adversarial Training Helps Transfer Learning via Better Representations Zhun Deng Linjun Zhang Kailas Vodrahalli Kenji Kawaguchi James Zou GAN 89 54 0 18 Jun 2021
Towards Adversarial Robustness via Transductive Learning Jiefeng Chen Yang Guo Xi Wu Tianqi Li Qicheng Lao Yingyu Liang S. Jha AAML 45 5 0 15 Jun 2021
Probabilistic Margins for Instance Reweighting in Adversarial Training Qizhou Wang Feng Liu Bo Han Tongliang Liu Chen Gong Gang Niu Mingyuan Zhou Masashi Sugiyama AAML 83 65 0 15 Jun 2021
Adversarial Robustness via Fisher-Rao Regularization Marine Picot Francisco Messina Malik Boudiaf Fabrice Labeau Ismail Ben Ayed Pablo Piantanida AAML 79 25 0 12 Jun 2021
CARTL: Cooperative Adversarially-Robust Transfer Learning Dian Chen Hongxin Hu Qian Wang Yinli Li Cong Wang Chao Shen Qi Li 48 14 0 12 Jun 2021
Adversarial purification with Score-based generative models Jongmin Yoon Sung Ju Hwang Juho Lee DiffM 92 159 0 11 Jun 2021
Attacking Adversarial Attacks as A Defense Boxi Wu Heng Pan Li Shen Jindong Gu Shuai Zhao Zhifeng Li Deng Cai Xiaofei He Wei Liu AAML 93 32 0 09 Jun 2021
Reliable Adversarial Distillation with Unreliable Teachers Jianing Zhu Jiangchao Yao Bo Han Jingfeng Zhang Tongliang Liu Gang Niu Jingren Zhou Jianliang Xu Hongxia Yang AAML 95 66 0 09 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 91 32 0 09 Jun 2021
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation David Berthelot Rebecca Roelofs Kihyuk Sohn Nicholas Carlini Alexey Kurakin 61 145 0 08 Jun 2021
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness Zifeng Wang T. Jian A. Masoomi Stratis Ioannidis Jennifer Dy AAML 69 26 0 04 Jun 2021
Improving Neural Network Robustness via Persistency of Excitation Kaustubh Sridhar O. Sokolsky Insup Lee James Weimer AAML 97 20 0 03 Jun 2021