Training Ensembles to Detect Adversarial Examples

11 December 2017

Razvan Bunescu

Papers citing "Training Ensembles to Detect Adversarial Examples"

22 / 22 papers shown

Title
Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks Lei Zhang Yuhang Zhou Yi Yang Xinbo Gao AAML OOD 46 7 0 04 Apr 2024
Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay Yuhang Zhou Zhongyun Hua AAML CLL 43 3 0 02 Apr 2024
Improving the Robustness of Quantized Deep Neural Networks to White-Box Attacks using Stochastic Quantization and Information-Theoretic Ensemble Training Saurabh Farkya Aswin Raghavan Avi Ziskind 14 0 0 30 Nov 2023
Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization Zexu Sun Bowei He Ming Ma Jiakai Tang Yuchen Wang Chen Ma Dugang Liu 34 4 0 07 Oct 2023
Defending Adversarial Examples by Negative Correlation Ensemble Wenjian Luo Hongwei Zhang Linghao Kong Zhijian Chen Jiaheng Zhang AAML 17 1 0 11 Jun 2022
Measuring the Contribution of Multiple Model Representations in Detecting Adversarial Instances D. Steinberg P. Munro AAML 13 0 0 13 Nov 2021
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization Damien Teney Ehsan Abbasnejad Simon Lucey Anton Van Den Hengel 43 87 0 12 May 2021
Ensemble-in-One: Learning Ensemble within Random Gated Networks for Enhanced Adversarial Robustness Yi Cai Xuefei Ning Huazhong Yang Yu Wang AAML 27 4 0 27 Mar 2021
Attack Agnostic Detection of Adversarial Examples via Random Subspace Analysis Nathan G. Drenkow Neil Fendley Philippe Burlina AAML 27 2 0 11 Dec 2020
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles Huanrui Yang Jingyang Zhang Hongliang Dong Nathan Inkawhich Andrew B. Gardner Andrew Touchet Wesley Wilkes Heath Berry H. Li AAML 20 107 0 30 Sep 2020
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness Tuan-Anh Bui Trung Le He Zhao Paul Montague O. deVel Tamas Abraham Dinh Q. Phung AAML FedML 23 11 0 21 Sep 2020
Determining Sequence of Image Processing Technique (IPT) to Detect Adversarial Attacks Kishor Datta Gupta Zahid Akhtar D. Dasgupta AAML 27 9 0 01 Jul 2020
Evaluating Ensemble Robustness Against Adversarial Attacks George Adam Romain Speciel AAML SILM 14 4 0 12 May 2020
Playing to Learn Better: Repeated Games for Adversarial Learning with Multiple Classifiers P. Dasgupta J. B. Collins Michael McCarrick AAML 11 1 0 10 Feb 2020
Lower Bounds on Adversarial Robustness from Optimal Transport A. Bhagoji Daniel Cullina Prateek Mittal OOD OT AAML 26 92 0 26 Sep 2019
Defeating Misclassification Attacks Against Transfer Learning Bang Wu Shuo Wang Xingliang Yuan Cong Wang Carsten Rudolph Xiangwen Yang AAML 16 6 0 29 Aug 2019
Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness Ling Liu Wenqi Wei Ka-Ho Chow Margaret Loper Emre Gursoy Stacey Truex Yanzhao Wu UQCV AAML FedML 8 59 0 29 Aug 2019
Improving Adversarial Robustness of Ensembles with Diversity Training Sanjay Kariyappa Moinuddin K. Qureshi AAML FedML 14 133 0 28 Jan 2019
Exploiting the Inherent Limitation of L0 Adversarial Examples F. Zuo Bokai Yang Xiaopeng Li Lannan Luo Qiang Zeng AAML 21 1 0 23 Dec 2018
PAC-learning in the presence of evasion adversaries Daniel Cullina A. Bhagoji Prateek Mittal AAML 30 53 0 05 Jun 2018
Generalizable Adversarial Examples Detection Based on Bi-model Decision Mismatch João Monteiro Isabela Albuquerque Zahid Akhtar T. Falk AAML 35 29 0 21 Feb 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,842 0 08 Jul 2016