Robustness of classifiers: from adversarial to random noise

31 August 2016

Alhussein Fawzi

Seyed-Mohsen Moosavi-Dezfooli

P. Frossard

AAML

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Papers citing "Robustness of classifiers: from adversarial to random noise"

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Title
An Empirical Study of Sample Selection Strategies for Large Language Model Repair Xuran Li Jingyi Wang KELM 84 0 0 23 Oct 2025
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Curvature Dynamic Black-box Attack: revisiting adversarial robustness via dynamic curvature estimation Peiran Sun AAML 202 0 0 25 May 2025
Quantum Support Vector Regression for Robust Anomaly Detection Kilian Tscharke Maximilian Wendlinger Sebastian Issel Pascal Debus AAML 262 1 0 02 May 2025
Feature compression is the root cause of adversarial fragility in neural network classifiers Jingchao Gao Ziqing Lu Xiaodong Wu Xiaodong Wu Jirong Yi Myung Cho Catherine Xu Hui Xie Weiyu Xu 177 2 0 23 Jun 2024
On the Computability of Robust PAC LearningAnnual Conference Computational Learning Theory (COLT), 2024 Pascale Gourdeau Tosca Lechner Ruth Urner 331 5 0 14 Jun 2024
Harmonic Machine Learning Models are Robust Nicholas S. Kersting Yi Li Aman Mohanty Oyindamola Obisesan Raphael Okochu AAML 190 1 0 29 Apr 2024
Investigating Weight-Perturbed Deep Neural Networks With Application in Iris Presentation Attack Detection Renu Sharma Redwan Sony Arun Ross AAML 217 3 0 21 Nov 2023
Robustness Enhancement in Neural Networks with Alpha-Stable Training Noise Xueqiong Yuan Jipeng Li E. Kuruoglu OOD 136 5 0 17 Nov 2023
Adversarial Examples Are Not Real FeaturesNeural Information Processing Systems (NeurIPS), 2023 Ang Li Yifei Wang Yiwen Guo Yisen Wang 444 17 0 29 Oct 2023
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds Hejia Geng Peng Li AAML 303 4 0 20 Aug 2023
Boosting Adversarial Attacks by Leveraging Decision Boundary Information Boheng Zeng LianLi Gao Qilong Zhang Chaoqun Li JingKuan Song Shuaiqi Jing AAML 161 3 0 10 Mar 2023
Uncertainty Injection: A Deep Learning Method for Robust OptimizationIEEE Transactions on Wireless Communications (IEEE TWC), 2023 W. Cui Wei Yu UQCV OOD 95 10 0 23 Feb 2023
AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs Helene Orsini Hongyan Bao Yujun Zhou Xiangrui Xu Yufei Han Longyang Yi Wei Wang Xin Gao Xiangliang Zhang AAML 200 1 0 13 Dec 2022
Adversarial Detection by Approximation of Ensemble BoundaryNeurocomputing (Neurocomputing), 2022 T. Windeatt AAML 565 0 0 18 Nov 2022
There is more than one kind of robustness: Fooling Whisper with adversarial examplesInterspeech (Interspeech), 2022 R. Olivier Bhiksha Raj AAML 226 15 0 26 Oct 2022
Disentangled Text Representation Learning with Information-Theoretic Perspective for Adversarial RobustnessIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2022 Jiahao Zhao Wenji Mao DRL OOD 120 7 0 26 Oct 2022
When are Local Queries Useful for Robust Learning?Neural Information Processing Systems (NeurIPS), 2022 Pascale Gourdeau Varun Kanade Marta Z. Kwiatkowska J. Worrell OOD 291 1 0 12 Oct 2022
DeltaBound Attack: Efficient decision-based attack in low queries regime L. Rossi AAML 131 0 0 01 Oct 2022
"Is your explanation stable?": A Robustness Evaluation Framework for Feature AttributionConference on Computer and Communications Security (CCS), 2022 Yuyou Gan Yuhao Mao Xuhong Zhang S. Ji Yuwen Pu Meng Han Jianwei Yin Ting Wang FAtt AAML 140 15 0 05 Sep 2022
Mixed-Precision Neural Networks: A Survey M. Rakka M. Fouda Pramod P. Khargonekar Fadi J. Kurdahi MQ 276 19 0 11 Aug 2022
Identifying Hard Noise in Long-Tailed Sample DistributionEuropean Conference on Computer Vision (ECCV), 2022 Xuanyu Yi Kaihua Tang Xiansheng Hua J. Lim Hanwang Zhang 181 27 0 27 Jul 2022
Discriminator-Weighted Offline Imitation Learning from Suboptimal DemonstrationsInternational Conference on Machine Learning (ICML), 2022 Haoran Xu Xianyuan Zhan Honglei Yin Huiling Qin OffRL 254 93 0 20 Jul 2022
Bounding generalization error with input compression: An empirical study with infinite-width networks A. Galloway A. Golubeva Mahmoud Salem Mihai Nica Yani Andrew Ioannou Graham W. Taylor MLT AI4CE 183 5 0 19 Jul 2022
Sample Complexity Bounds for Robustly Learning Decision Lists against Evasion AttacksInternational Joint Conference on Artificial Intelligence (IJCAI), 2022 Pascale Gourdeau Varun Kanade Marta Z. Kwiatkowska J. Worrell AAML 162 5 0 12 May 2022
Co-Teaching for Unsupervised Domain Adaptation and Expansion Kaibin Tian Qijie Wei Xirong Li 226 1 0 04 Apr 2022
Improving Robustness of Jet Tagging Algorithms with Adversarial TrainingComputing and Software for Big Science (CSBS), 2022 Annika Stein X. Coubez S. Mondal A. Novák A. Schmidt AAML 105 9 0 25 Mar 2022
Stochastic Perturbations of Tabular Features for Non-Deterministic Inference with Automunge Nicholas J. Teague AAML 158 1 0 18 Feb 2022
On Distinctive Properties of Universal Perturbations Sung Min Park K. Wei Kai Y. Xiao Jungshian Li Aleksander Madry AAML 197 2 0 31 Dec 2021
On the Adversarial Robustness of Causal Algorithmic RecourseInternational Conference on Machine Learning (ICML), 2021 Ricardo Dominguez-Olmedo Amir-Hossein Karimi Bernhard Schölkopf 298 71 0 21 Dec 2021
Editing a classifier by rewriting its prediction rules Shibani Santurkar Dimitris Tsipras Mahalaxmi Elango David Bau Antonio Torralba Aleksander Madry KELM 340 96 0 02 Dec 2021
Thundernna: a white box adversarial attack Linfeng Ye Shayan Mohajer Hamidi AAML 215 6 0 24 Nov 2021
A Review of Adversarial Attack and Defense for Classification Methods Yao Li Minhao Cheng Cho-Jui Hsieh T. C. Lee AAML 178 85 0 18 Nov 2021
Finding Optimal Tangent Points for Reducing Distortions of Hard-label AttacksNeural Information Processing Systems (NeurIPS), 2021 Chen Ma Xiangyu Guo Li Chen Junhai Yong Yisen Wang AAML 304 17 0 15 Nov 2021
Noisy Feature Mixup Soon Hoe Lim N. Benjamin Erichson Francisco Utrera Winnie Xu Michael W. Mahoney AAML 302 39 0 05 Oct 2021
Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks Kaleel Mahmood Rigel Mahmood Ethan Rathbun Marten van Dijk AAML 142 29 0 29 Sep 2021
Classification and Adversarial examples in an Overparameterized Linear Model: A Signal Processing Perspective Adhyyan Narang Vidya Muthukumar A. Sahai SILM AAML 150 1 0 27 Sep 2021
Robustness Analysis of Deep Learning Frameworks on Mobile Platforms Amin Eslami Abyane Hadi Hemmati AAML 117 3 0 20 Sep 2021
Evaluating the Robustness of Neural Language Models to Input PerturbationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 M. Moradi Matthias Samwald AAML 187 127 0 27 Aug 2021
Context-aware Adversarial Training for Name Regularity Bias in Named Entity RecognitionTransactions of the Association for Computational Linguistics (TACL), 2021 Abbas Ghaddar Philippe Langlais Ahmad Rashid Mehdi Rezagholizadeh 229 45 0 24 Jul 2021
Out of Distribution Detection and Adversarial Attacks on Deep Neural Networks for Robust Medical Image Analysis Anisie Uwimana Ransalu Senanayake OOD MedIm 150 22 0 10 Jul 2021
Output Randomization: A Novel Defense for both White-box and Black-box Adversarial Models Daniel Park Haidar Khan Azer Khan Alex Gittens B. Yener AAML 97 1 0 08 Jul 2021
Attack Transferability Characterization for Adversarially Robust Multi-label Classification Zhuo Yang Yufei Han Xiangliang Zhang AAML 120 5 0 29 Jun 2021
The Dimpled Manifold Model of Adversarial Examples in Machine Learning A. Shamir Odelia Melamed Oriel BenShmuel AAML 253 54 0 18 Jun 2021
Analyzing Adversarial Robustness of Deep Neural Networks in Pixel Space: a Semantic Perspective Lina Wang Xingshu Chen Yulong Wang Yawei Yue Yi Zhu Xuemei Zeng Wei Wang AAML 93 0 0 18 Jun 2021
Fit without fear: remarkable mathematical phenomena of deep learning through the prism of interpolationActa Numerica (AN), 2021 M. Belkin 139 205 0 29 May 2021
Bio-inspired Robustness: A Review Harshitha Machiraju Oh-hyeon Choung P. Frossard Michael H. Herzog AAML 177 2 0 16 Mar 2021
Improving Transformation-based Defenses against Adversarial Examples with First-order Perturbations Haimin Zhang Min Xu AAML 110 0 0 08 Mar 2021