A Unified Gradient Regularization Family for Adversarial Examples

19 November 2015

Papers citing "A Unified Gradient Regularization Family for Adversarial Examples"

38 / 38 papers shown

Title
New Perspectives on Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization Soroosh Shafieezadeh-Abadeh Liviu Aolaritei Florian Dorfler Daniel Kuhn 66 20 0 31 Dec 2024
A Learning Paradigm for Interpretable Gradients Felipe Figueroa Hanwei Zhang R. Sicre Yannis Avrithis Stéphane Ayache FAtt 28 0 0 23 Apr 2024
Deep neural networks for choice analysis: Enhancing behavioral regularity with gradient regularization Siqi Feng Rui Yao Stephane Hess Ricardo A. Daziano Timothy Brathwaite Joan Walker Shenhao Wang 30 1 0 23 Apr 2024
ML-On-Rails: Safeguarding Machine Learning Models in Software Systems A Case Study Hala Abdelkader Mohamed Abdelrazek Scott Barnett Jean-Guy Schneider Priya Rani Rajesh Vasa 40 3 0 12 Jan 2024
Doubly Perturbed Task Free Continual Learning Byung Hyun Lee Min-hwan Oh Se Young Chun 32 3 0 20 Dec 2023
Training Image Derivatives: Increased Accuracy and Universal Robustness V. Avrutskiy 51 0 0 21 Oct 2023
Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend Chong Yu Tao Chen Zhongxue Gan AAML 23 1 0 18 May 2023
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy Yusuke Kawamoto Kazumasa Miyake K. Konishi Y. Oiwa 29 4 0 18 Jan 2023
On adversarial robustness and the use of Wasserstein ascent-descent dynamics to enforce it Camilo A. Garcia Trillos Nicolas García Trillos 39 5 0 09 Jan 2023
Deep Learning for Brain Age Estimation: A Systematic Review Md. Iftekhar Tanveer M. A. Ganaie I. Beheshti Tripti Goel Nehal Ahmad Kuan-Ting Lai Kaizhu Huang Yudong Zhang Javier Del Ser Chin-Teng Lin 38 86 0 07 Dec 2022
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies Zhuang Qian Kaizhu Huang Qiufeng Wang Xu-Yao Zhang OOD AAML ObjD 54 72 0 26 Mar 2022
The Geometry of Adversarial Training in Binary Classification Leon Bungert Nicolas García Trillos Ryan W. Murray AAML 34 23 0 26 Nov 2021
Generative Dynamic Patch Attack Xiang Li Shihao Ji AAML 30 22 0 08 Nov 2021
On the regularized risk of distributionally robust learning over deep neural networks Camilo A. Garcia Trillos Nicolas García Trillos OOD 45 10 0 13 Sep 2021
Evolving Architectures with Gradient Misalignment toward Low Adversarial Transferability K. Operiano W. Pora H. Iba Hiroshi Kera AAML 39 1 0 13 Sep 2021
Why Adversarial Reprogramming Works, When It Fails, and How to Tell the Difference Yang Zheng Xiaoyi Feng Zhaoqiang Xia Xiaoyue Jiang Ambra Demontis Maura Pintor Battista Biggio Fabio Roli AAML 30 22 0 26 Aug 2021
We Can Always Catch You: Detecting Adversarial Patched Objects WITH or WITHOUT Signature Binxiu Liang Jiachun Li Jianjun Huang AAML 33 12 0 09 Jun 2021
DL-Reg: A Deep Learning Regularization Technique using Linear Regression Maryam Dialameh A. Hamzeh Hossein Rahmani 26 3 0 31 Oct 2020
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples Timo Freiesleben GAN 43 62 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 27 11 0 10 Sep 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 29 73 0 07 Aug 2020
On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping Sanghyun Hong Varun Chandrasekaran Yigitcan Kaya Tudor Dumitras Nicolas Papernot AAML 28 136 0 26 Feb 2020
Adversarial Perturbations Prevail in the Y-Channel of the YCbCr Color Space Camilo Pestana Naveed Akhtar Wei Liu D. Glance Ajmal Mian AAML 29 10 0 25 Feb 2020
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward A. Qayyum Muhammad Usama Junaid Qadir Ala I. Al-Fuqaha AAML 27 187 0 29 May 2019
Scaleable input gradient regularization for adversarial robustness Chris Finlay Adam M. Oberman AAML 16 77 0 27 May 2019
Biometric Backdoors: A Poisoning Attack Against Unsupervised Template Updating Giulio Lovisotto Simon Eberz Ivan Martinovic AAML 21 35 0 22 May 2019
Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples Derui Wang Chaoran Li S. Wen Qing-Long Han Surya Nepal Xiangyu Zhang Yang Xiang AAML 30 40 0 06 Feb 2019
Generative Adversarial Classifier for Handwriting Characters Super-Resolution Zhuang Qian Kaizhu Huang Qiufeng Wang Jimin Xiao Rui Zhang GAN 25 26 0 18 Jan 2019
Defense-VAE: A Fast and Accurate Defense against Adversarial Attacks Xiang Li Shihao Ji AAML 27 26 0 17 Dec 2018
Robustness via curvature regularization, and vice versa Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi J. Uesato P. Frossard AAML 29 318 0 23 Nov 2018
A Kernel Perspective for Regularizing Deep Neural Networks A. Bietti Grégoire Mialon Dexiong Chen Julien Mairal 16 15 0 30 Sep 2018
Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks Ambra Demontis Marco Melis Maura Pintor Matthew Jagielski Battista Biggio Alina Oprea Cristina Nita-Rotaru Fabio Roli SILM AAML 19 11 0 08 Sep 2018
Bidirectional Learning for Robust Neural Networks S. Pontes-Filho Marcus Liwicki 20 9 0 21 May 2018
Defending against Adversarial Attack towards Deep Neural Networks via Collaborative Multi-task Training Derui Wang Chaoran Li S. Wen Surya Nepal Yang Xiang AAML 41 29 0 14 Mar 2018
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning Battista Biggio Fabio Roli AAML 40 1,390 0 08 Dec 2017
Towards Deep Learning Models Resistant to Adversarial Attacks A. Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 89 11,872 0 19 Jun 2017
Blocking Transferability of Adversarial Examples in Black-Box Learning Systems Hossein Hosseini Yize Chen Sreeram Kannan Baosen Zhang Radha Poovendran AAML 30 106 0 13 Mar 2017
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,639 0 03 Jul 2012