Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models

5 August 2018

Papers citing "Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models"

50 / 216 papers shown

Title
Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack Yunfeng Diao He Wang Tianjia Shao Yong-Liang Yang Kun Zhou David C. Hogg Meng Wang AAML 40 7 0 21 Nov 2022
Feature Weaken: Vicinal Data Augmentation for Classification Songhao Jiang Yan Chu Tian-Hui Ma Tianning Zang 28 0 0 20 Nov 2022
On Proper Learnability between Average- and Worst-case Robustness Vinod Raman Unique Subedi Ambuj Tewari 21 3 0 10 Nov 2022
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities Andrea Tocchetti Lorenzo Corti Agathe Balayn Mireia Yurrita Philip Lippmann Marco Brambilla Jie-jin Yang 27 10 0 17 Oct 2022
Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective Yao Zhu YueFeng Chen Xiaodan Li Kejiang Chen Yuan He Xiang Tian Bo Zheng Yao-wu Chen Qingming Huang AAML 33 58 0 09 Oct 2022
Strength-Adaptive Adversarial Training Chaojian Yu Dawei Zhou Li Shen Jun Yu Bo Han Biwei Huang Nannan Wang Tongliang Liu OOD 17 2 0 04 Oct 2022
Exploring the Relationship between Architecture and Adversarially Robust Generalization Aishan Liu Shiyu Tang Siyuan Liang Ruihao Gong Boxi Wu Xianglong Liu Dacheng Tao AAML 34 18 0 28 Sep 2022
Robust Transferable Feature Extractors: Learning to Defend Pre-Trained Networks Against White Box Adversaries Alexander Cann Ian Colbert I. Amer AAML 11 1 0 14 Sep 2022
Lower Difficulty and Better Robustness: A Bregman Divergence Perspective for Adversarial Training Zihui Wu Haichang Gao Bingqian Zhou Xiaoyan Guo Shudong Zhang AAML 35 0 0 26 Aug 2022
Diverse Generative Perturbations on Attention Space for Transferable Adversarial Attacks Woo Jae Kim Seunghoon Hong Sung-eui Yoon AAML 29 8 0 11 Aug 2022
On the Robustness of Bayesian Neural Networks to Adversarial Attacks Luca Bortolussi Ginevra Carbone Luca Laurenti A. Patané G. Sanguinetti Matthew Wicker AAML 24 11 0 13 Jul 2022
Robustness Analysis of Video-Language Models Against Visual and Language Perturbations Madeline Chantry Schiappa Shruti Vyas Hamid Palangi Yogesh S Rawat Vibhav Vineet VLM 123 17 0 05 Jul 2022
Understanding Deep Learning via Decision Boundary Shiye Lei Fengxiang He Yancheng Yuan Dacheng Tao 22 13 0 03 Jun 2022
Analyzing Modality Robustness in Multimodal Sentiment Analysis Devamanyu Hazarika Yingting Li Bo Cheng Shuai Zhao Roger Zimmermann Soujanya Poria 34 32 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 43 20 0 27 May 2022
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks Siddhartha Datta AAML 34 4 0 15 May 2022
Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings Yuhao Mao Chong Fu Sai-gang Wang S. Ji Xuhong Zhang Zhenguang Liu Junfeng Zhou A. Liu R. Beyah Ting Wang AAML 27 19 0 07 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 39 61 0 31 Mar 2022
A Manifold View of Adversarial Risk Wen-jun Zhang Yikai Zhang Xiaoling Hu Mayank Goswami Chao Chen Dimitris N. Metaxas AAML 19 6 0 24 Mar 2022
Query-Efficient Black-box Adversarial Attacks Guided by a Transfer-based Prior Yinpeng Dong Shuyu Cheng Tianyu Pang Hang Su Jun Zhu AAML 19 57 0 13 Mar 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition Tianyu Pang Min-Bin Lin Xiao Yang Junyi Zhu Shuicheng Yan 30 119 0 21 Feb 2022
Reducing Overconfidence Predictions for Autonomous Driving Perception Gledson Melotti C. Premebida Jordan J. Bird Diego Resende Faria Nuno Gonccalves 16 7 0 16 Feb 2022
Holistic Adversarial Robustness of Deep Learning Models Pin-Yu Chen Sijia Liu AAML 47 16 0 15 Feb 2022
A Survey on Model Compression and Acceleration for Pretrained Language Models Canwen Xu Julian McAuley 23 58 0 15 Feb 2022
Improving Generalization via Uncertainty Driven Perturbations Matteo Pagliardini Gilberto Manunza Martin Jaggi Michael I. Jordan Tatjana Chavdarova AAML AI4CE 21 4 0 11 Feb 2022
Probabilistically Robust Learning: Balancing Average- and Worst-case Performance Alexander Robey Luiz F. O. Chamon George J. Pappas Hamed Hassani AAML OOD 40 41 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 101 16 0 31 Jan 2022
Efficient and Robust Classification for Sparse Attacks M. Beliaev Payam Delgosha Hamed Hassani Ramtin Pedarsani AAML 27 2 0 23 Jan 2022
Amicable Aid: Perturbing Images to Improve Classification Performance Juyeop Kim Jun-Ho Choi Soobeom Jang Jong-Seok Lee AAML 18 2 0 09 Dec 2021
Probabilistic Approach for Road-Users Detection Gledson Melotti Weihao Lu Pedro Conde Dezong Zhao A. Asvadi Nuno Gonçalves C. Premebida 27 2 0 02 Dec 2021
Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes Utku Ozbulak Maura Pintor Arnout Van Messem W. D. Neve AAML 9 5 0 22 Nov 2021
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks Hanxun Huang Yisen Wang S. Erfani Quanquan Gu James Bailey Xingjun Ma AAML TPM 46 100 0 07 Oct 2021
Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting Chengyu Dong Liyuan Liu Jingbo Shang NoLa AAML 56 18 0 07 Oct 2021
Noisy Feature Mixup S. H. Lim N. Benjamin Erichson Francisco Utrera Winnie Xu Michael W. Mahoney AAML 12 37 0 05 Oct 2021
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 119 356 0 04 Oct 2021
An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness Moninder Singh Gevorg Ghalachyan Kush R. Varshney R. Bryant 18 9 0 29 Sep 2021
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques Shiyu Tang Ruihao Gong Yan Wang Aishan Liu Jiakai Wang ... Xianglong Liu D. Song Alan Yuille Philip Torr Dacheng Tao VLM AAML 26 106 0 11 Sep 2021
Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression Canwen Xu Wangchunshu Zhou Tao Ge Kelvin J. Xu Julian McAuley Furu Wei 10 41 0 07 Sep 2021
Certifiers Make Neural Networks Vulnerable to Availability Attacks Tobias Lorenz Marta Kwiatkowska Mario Fritz AAML SILM 12 2 0 25 Aug 2021
Semantic Perturbations with Normalizing Flows for Improved Generalization Oğuz Kaan Yüksel Sebastian U. Stich Martin Jaggi Tatjana Chavdarova AAML 29 10 0 18 Aug 2021
AdvRush: Searching for Adversarially Robust Neural Architectures J. Mok Byunggook Na Hyeokjun Choe Sungroh Yoon OOD AAML 22 44 0 03 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 26 235 0 01 Aug 2021
EvoBA: An Evolution Strategy as a Strong Baseline forBlack-Box Adversarial Attacks Andrei-Șerban Ilie Marius Popescu Alin Stefanescu AAML 35 6 0 12 Jul 2021
A Survey on Trust Metrics for Autonomous Robotic Systems Vincenzo DiLuoffo W. Michalson 17 0 0 28 Jun 2021
Residual Error: a New Performance Measure for Adversarial Robustness Hossein Aboutalebi M. Shafiee Michelle Karg C. Scharfenberger Alexander Wong AAML 11 1 0 18 Jun 2021
Light Lies: Optical Adversarial Attack Kyulim Kim Jeong-Soo Kim Seung-Ri Song Jun-Ho Choi Chul-Min Joo Jong-Seok Lee AAML 27 5 0 18 Jun 2021
Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks Utku Ozbulak Esla Timothy Anzaku W. D. Neve Arnout Van Messem AAML 27 10 0 14 Jun 2021
Query Attack by Multi-Identity Surrogates Sizhe Chen Zhehao Huang Qinghua Tao X. Huang AAML 27 4 0 31 May 2021
Deep Repulsive Prototypes for Adversarial Robustness A. Serban E. Poll Joost Visser OOD 27 3 0 26 May 2021
An Orthogonal Classifier for Improving the Adversarial Robustness of Neural Networks Cong Xu Xiang Li Min Yang AAML 19 15 0 19 May 2021