Stochastic Activation Pruning for Robust Adversarial Defense

5 March 2018

Guneet Singh Dhillon

Kamyar Azizzadenesheli

Papers citing "Stochastic Activation Pruning for Robust Adversarial Defense"

50 / 322 papers shown

Title
SoK: Anti-Facial Recognition Technology Emily Wenger Shawn Shan Haitao Zheng Ben Y. Zhao PICV 163 19 0 08 Dec 2021
On visual self-supervision and its effect on model robustness Michal Kucer Diane Oyen Garrett Kenyon AAML OOD 110 0 0 08 Dec 2021
Adv-4-Adv: Thwarting Changing Adversarial Perturbations via Adversarial Domain Adaptation Tianyue Zheng Zhe Chen Shuya Ding Chao Cai Jun Luo AAML 200 6 0 01 Dec 2021
Medical Aegis: Robust adversarial protectors for medical images Qingsong Yao Zecheng He S. Kevin Zhou AAML MedIm 269 3 0 22 Nov 2021
Denoised Internal Models: a Brain-Inspired Autoencoder against Adversarial AttacksMachine Intelligence Research (MIR), 2021 Kaiyuan Liu Xingyu Li Yu-Rui Lai Hong Xie Hang Su Jiacheng Wang Chunxu Guo J. Guan Yi Zhou AAML 234 4 0 21 Nov 2021
Resilience from Diversity: Population-based approach to harden models against adversarial attacks Jasser Jasser Ivan I. Garibay AAML 148 2 0 19 Nov 2021
A Review of Adversarial Attack and Defense for Classification Methods Yao Li Minhao Cheng Cho-Jui Hsieh T. C. Lee AAML 182 86 0 18 Nov 2021
Natural Adversarial Objects Felix Lau Nishant Subramani Sasha Harrison Aerin Kim E. Branson Rosanne Liu 164 7 0 07 Nov 2021
Holistic Deep LearningMachine-mediated learning (ML), 2021 Dimitris Bertsimas Kimberly Villalobos Carballo L. Boussioux M. Li Alex Paskov I. Paskov 255 3 0 29 Oct 2021
Adversarial Robustness with Semi-Infinite Constrained LearningNeural Information Processing Systems (NeurIPS), 2021 Avi Schwarzschild Luiz F. O. Chamon George J. Pappas Hamed Hassani Alejandro Ribeiro AAML OOD 277 49 0 29 Oct 2021
Defensive Tensorization Adrian Bulat Jean Kossaifi S. Bhattacharya Yannis Panagakis Timothy M. Hospedales Georgios Tzimiropoulos Nicholas D. Lane Maja Pantic AAML 98 4 0 26 Oct 2021
Fast Gradient Non-sign Methods Yaya Cheng Jingkuan Song Xiaosu Zhu Qilong Zhang Lianli Gao Heng Tao Shen AAML 234 12 0 25 Oct 2021
ADC: Adversarial attacks against object Detection that evade Context consistency checksIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021 Mingjun Yin Shasha Li Chengyu Song M. Salman Asif Amit K. Roy-Chowdhury S. Krishnamurthy AAML 253 30 0 24 Oct 2021
Game Theory for Adversarial Attacks and Defenses Shorya Sharma AAML 219 4 0 08 Oct 2021
Exploring Architectural Ingredients of Adversarially Robust Deep Neural NetworksNeural Information Processing Systems (NeurIPS), 2021 Hanxun Huang Yisen Wang S. Erfani Quanquan Gu James Bailey Jiabo He AAML TPM 247 109 0 07 Oct 2021
On the Noise Stability and Robustness of Adversarially Trained Networks on NVM Crossbars Chun Tao Deboleena Roy I. Chakraborty Kaushik Roy AAML 219 2 0 19 Sep 2021
Simple Post-Training Robustness Using Test Time Augmentations and Random Forest Gilad Cohen Raja Giryes AAML 184 8 0 16 Sep 2021
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency Yonggan Fu Yang Zhao Qixuan Yu Chaojian Li Yingyan Lin AAML 352 15 0 11 Sep 2021
Adversarial Parameter Defense by Multi-Step Risk MinimizationNeural Networks (NN), 2021 Zhiyuan Zhang Ruixuan Luo Xuancheng Ren Qi Su Liangyou Li Xu Sun AAML 138 7 0 07 Sep 2021
Meta Gradient Adversarial AttackIEEE International Conference on Computer Vision (ICCV), 2021 Zheng Yuan Jie Zhang Yunpei Jia Chuanqi Tan Tao Xue Shiguang Shan AAML 215 85 0 09 Aug 2021
Using Undervolting as an On-Device Defense Against Adversarial Machine Learning AttacksIEEE International Symposium on Hardware Oriented Security and Trust (HOST), 2021 Saikat Majumdar Mohammad Hossein Samavatian Kristin Barber R. Teodorescu AAML 145 7 0 20 Jul 2021
Detect and Defense Against Adversarial Examples in Deep Learning using Natural Scene Statistics and Adaptive Denoising Anouar Kherchouche Sid Ahmed Fezza W. Hamidouche AAML 124 11 0 12 Jul 2021
GradDiv: Adversarial Robustness of Randomized Neural Networks via Gradient Diversity Regularization Sungyoon Lee Hoki Kim Jaewook Lee AAML 209 69 0 06 Jul 2021
Policy Smoothing for Provably Robust Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2021 Aounon Kumar Alexander Levine Soheil Feizi AAML 221 62 0 21 Jun 2021
Adversarial purification with Score-based generative modelsInternational Conference on Machine Learning (ICML), 2021 Jongmin Yoon Sung Ju Hwang Juho Lee DiffM 194 177 0 11 Jun 2021
HASI: Hardware-Accelerated Stochastic Inference, A Defense Against Adversarial Machine Learning Attacks Mohammad Hossein Samavatian Saikat Majumdar Kristin Barber R. Teodorescu AAML 362 4 0 09 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 141 39 0 09 Jun 2021
Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks Yi Xu An Ju Evan Shelhamer David Wagner Trevor Darrell AAML 202 30 0 18 May 2021
Adversarial Examples Detection with Bayesian Neural NetworkIEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2021 Yao Li Tongyi Tang Cho-Jui Hsieh T. C. Lee GAN AAML 171 3 0 18 May 2021
Sparta: Spatially Attentive and Adversarially Robust Activation Qing Guo Felix Juefei Xu Changqing Zhou Wei Feng Yang Liu Song Wang AAML 176 4 0 18 May 2021
Salient Feature Extractor for Adversarial Defense on Deep Neural NetworksInformation Sciences (Inf. Sci.), 2021 Jinyin Chen Ruoxi Chen Haibin Zheng Zhaoyan Ming Wenrong Jiang Chen Cui AAML 132 12 0 14 May 2021
Biometrics: Trust, but VerifyIEEE Transactions on Biometrics Behavior and Identity Science (TBBIS), 2021 Anil K. Jain Debayan Deb Joshua J. Engelsma FaML 209 99 0 14 May 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde ... Serin Varghese Michael Weber Sebastian J. Wirkert Tim Wirtz Matthias Woehrle AAML 293 61 0 29 Apr 2021
Dual Head Adversarial TrainingIEEE International Joint Conference on Neural Network (IJCNN), 2021 Yujing Jiang Jiabo He S. Erfani James Bailey AAML 186 7 0 21 Apr 2021
The art of defense: letting networks fool the attackerIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2021 Jinlai Zhang Lyvjie Chen Binbin Liu Bojun Ouyang Jihong Zhu Minchi Kuang Houqing Wang Yanmei Meng AAML 3DPC 258 19 0 07 Apr 2021
Ensemble-in-One: Learning Ensemble within Random Gated Networks for Enhanced Adversarial Robustness Yi Cai Xuefei Ning Huazhong Yang Yu Wang AAML 58 4 0 27 Mar 2021
Adversarial Attacks are Reversible with Natural SupervisionIEEE International Conference on Computer Vision (ICCV), 2021 Chengzhi Mao Mia Chiquer Hao Wang Junfeng Yang Carl Vondrick BDL AAML 360 65 0 26 Mar 2021
Adversarial Feature Augmentation and Normalization for Visual Recognition Tianlong Chen Yu Cheng Zhe Gan Jianfeng Wang Lijuan Wang Zinan Lin Jingjing Liu AAML ViT 120 21 0 22 Mar 2021
Stochastic-HMDs: Adversarial Resilient Hardware Malware Detectors through Voltage Over-scaling Md. Shohidul Islam Ihsen Alouani Khaled N. Khasawneh AAML 107 1 0 11 Mar 2021
Improving Adversarial Robustness via Channel-wise Activation SuppressingInternational Conference on Learning Representations (ICLR), 2021 Yang Bai Yuyuan Zeng Yong Jiang Shutao Xia Jiabo He Yisen Wang AAML 156 141 0 11 Mar 2021
Improving Global Adversarial Robustness Generalization With Adversarially Trained GAN Desheng Wang Wei-dong Jin Yunpu Wu Aamir Khan GAN 151 10 0 08 Mar 2021
Lost in Pruning: The Effects of Pruning Neural Networks beyond Test AccuracyConference on Machine Learning and Systems (MLSys), 2021 Lucas Liebenwein Cenk Baykal Brandon Carter David K Gifford Daniela Rus AAML 180 81 0 04 Mar 2021
Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution HeterogeneityIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021 Xinyu Gong Wuyang Chen Tianlong Chen Zinan Lin 149 10 0 22 Feb 2021
On the robustness of randomized classifiers to adversarial examplesMachine-mediated learning (ML), 2021 Rafael Pinot Laurent Meunier Florian Yger Cédric Gouy-Pailler Y. Chevaleyre Jamal Atif AAML 137 15 0 22 Feb 2021
Center Smoothing: Certified Robustness for Networks with Structured OutputsNeural Information Processing Systems (NeurIPS), 2021 Aounon Kumar Tom Goldstein OOD AAML UQCV 205 20 0 19 Feb 2021
Random Projections for Improved Adversarial RobustnessIEEE International Joint Conference on Neural Network (IJCNN), 2021 Ginevra Carbone G. Sanguinetti Luca Bortolussi AAML 190 2 0 18 Feb 2021
Low Curvature Activations Reduce Overfitting in Adversarial TrainingIEEE International Conference on Computer Vision (ICCV), 2021 Vasu Singla Sahil Singla David Jacobs Soheil Feizi AAML 212 49 0 15 Feb 2021
Resilient Machine Learning for Networked Cyber Physical Systems: A Survey for Machine Learning Security to Securing Machine Learning for CPSIEEE Communications Surveys and Tutorials (COMST), 2021 Felix O. Olowononi D. Rawat Chunmei Liu 275 159 0 14 Feb 2021
Mixed Nash Equilibria in the Adversarial Examples GameInternational Conference on Machine Learning (ICML), 2021 Laurent Meunier M. Scetbon Rafael Pinot Jamal Atif Y. Chevaleyre AAML 202 32 0 13 Feb 2021
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature SelectionInternational Conference on Machine Learning (ICML), 2021 Hanshu Yan Jingfeng Zhang Gang Niu Jiashi Feng Vincent Y. F. Tan Masashi Sugiyama AAML 126 48 0 10 Feb 2021