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
Feature Separation and Recalibration for Adversarial RobustnessComputer Vision and Pattern Recognition (CVPR), 2023 Woo Jae Kim Y. Cho Junsik Jung Sung-eui Yoon AAML 319 32 0 24 Mar 2023
Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts Rohit Agarwal D. K. Gupta Alexander Horsch Dilip K. Prasad 198 5 0 09 Mar 2023
Consistent Valid Physically-Realizable Adversarial Attack against Crowd-flow Prediction Models Hassan Ali M. A. Butt F. Filali Ala I. Al-Fuqaha Junaid Qadir AAML 139 2 0 05 Mar 2023
On the Role of Randomization in Adversarially Robust ClassificationNeural Information Processing Systems (NeurIPS), 2023 Lucas Gnecco-Heredia Y. Chevaleyre Benjamin Négrevergne Laurent Meunier Muni Sreenivas Pydi AAML 217 6 0 14 Feb 2023
On the Robustness of Randomized Ensembles to Adversarial PerturbationsInternational Conference on Machine Learning (ICML), 2023 Hassan Dbouk Naresh R Shanbhag AAML 248 8 0 02 Feb 2023
LeNo: Adversarial Robust Salient Object Detection Networks with Learnable NoiseAAAI Conference on Artificial Intelligence (AAAI), 2022 He Tang Lin Wan He Wang 193 26 0 27 Oct 2022
Hindering Adversarial Attacks with Implicit Neural RepresentationsInternational Conference on Machine Learning (ICML), 2022 Andrei A. Rusu D. A. Calian Sven Gowal R. Hadsell AAML 288 5 0 22 Oct 2022
Towards Global Neural Network Abstractions with Locally-Exact ReconstructionNeural Networks (NN), 2022 Edoardo Manino I. Bessa Lucas C. Cordeiro 193 1 0 21 Oct 2022
Boosting Adversarial Robustness From The Perspective of Effective Margin RegularizationBritish Machine Vision Conference (BMVC), 2022 Ziquan Liu Antoni B. Chan AAML 158 6 0 11 Oct 2022
Understanding Adversarial Robustness Against On-manifold Adversarial ExamplesPattern Recognition (Pattern Recogn.), 2022 Jiancong Xiao Liusha Yang Yanbo Fan Jue Wang Zhimin Luo OOD 192 17 0 02 Oct 2022
Extremely Simple Activation Shaping for Out-of-Distribution DetectionInternational Conference on Learning Representations (ICLR), 2022 Andrija Djurisic Nebojsa Bozanic Arjun Ashok Rosanne Liu OODD 386 198 0 20 Sep 2022
State-driven Implicit Modeling for Sparsity and Robustness in Neural Networks Alicia Y. Tsai Juliette Decugis L. Ghaoui Alper Atamtürk 175 3 0 19 Sep 2022
PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition Jiachen Sun Weili Nie Zhiding Yu Z. Morley Mao Chaowei Xiao DiffM 117 28 0 21 Aug 2022
An Evolutionary, Gradient-Free, Query-Efficient, Black-Box Algorithm for Generating Adversarial Instances in Deep Networks Raz Lapid Zvika Haramaty Moshe Sipper AAML MLAU 169 13 0 17 Aug 2022
Two Heads are Better than One: Robust Learning Meets Multi-branch Models Dong Huang Qi Bu Yuhao Qing Haowen Pi Sen Wang Zihan Fang Heming Cui Dong Huang OOD AAML 244 2 0 17 Aug 2022
A Multi-objective Memetic Algorithm for Auto Adversarial Attack Optimization Design Jialiang Sun Wen Yao Tingsong Jiang Xiaoqian Chen AAML 109 0 0 15 Aug 2022
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning Mohammad Hossein Samavatian Saikat Majumdar Kristin Barber R. Teodorescu AAML 138 2 0 31 Jul 2022
Towards Efficient Adversarial Training on Vision TransformersEuropean Conference on Computer Vision (ECCV), 2022 Boxi Wu Jindong Gu Zhifeng Li Deng Cai Xiaofei He Wei Liu ViT AAML 217 45 0 21 Jul 2022
Towards the Desirable Decision Boundary by Moderate-Margin Adversarial Training Xiaoyu Liang Yaguan Qian Jianchang Huang Xiang Ling Bin Wang Chunming Wu Wassim Swaileh AAML 93 4 0 16 Jul 2022
Backdoor Attacks on Crowd CountingACM Multimedia (ACM MM), 2022 Yuhua Sun Tailai Zhang Jiabo He Pan Zhou Jian Lou Zichuan Xu Xing Di Yu Cheng Lichao AAML 179 16 0 12 Jul 2022
On the Limitations of Stochastic Pre-processing DefensesNeural Information Processing Systems (NeurIPS), 2022 Yue Gao Ilia Shumailov Kassem Fawaz Nicolas Papernot AAML SILM 284 32 0 19 Jun 2022
Demystifying the Adversarial Robustness of Random Transformation DefensesInternational Conference on Machine Learning (ICML), 2022 Chawin Sitawarin Zachary Golan-Strieb David Wagner AAML 199 25 0 18 Jun 2022
Analysis and Extensions of Adversarial Training for Video Classification K. A. Kinfu René Vidal AAML 179 14 0 16 Jun 2022
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable RobustnessInternational Conference on Machine Learning (ICML), 2022 Tianlong Chen Huan Zhang Zhenyu Zhang Shiyu Chang Sijia Liu Pin-Yu Chen Zinan Lin AAML 131 15 0 15 Jun 2022
Improving Diversity with Adversarially Learned Transformations for Domain GeneralizationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022 Tejas Gokhale Rushil Anirudh Jayaraman J. Thiagarajan B. Kailkhura Chitta Baral Yezhou Yang 144 37 0 15 Jun 2022
Hardening DNNs against Transfer Attacks during Network Compression using Greedy Adversarial PruningInternational Conference on Artificial Intelligence Circuits and Systems (ICAICS), 2022 Jonah O'Brien Weiss Tiago A. O. Alves S. Kundu AAML 81 0 0 15 Jun 2022
Pixel to Binary Embedding Towards Robustness for CNNsInternational Conference on Pattern Recognition (ICPR), 2022 Ikki Kishida Hideki Nakayama 181 0 0 13 Jun 2022
Data-Efficient Double-Win Lottery Tickets from Robust Pre-trainingInternational Conference on Machine Learning (ICML), 2022 Tianlong Chen Zhenyu Zhang Sijia Liu Yang Zhang Shiyu Chang Zinan Lin AAML 112 8 0 09 Jun 2022
FACM: Intermediate Layer Still Retain Effective Features against Adversarial Examples Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML 180 0 0 02 Jun 2022
Guided Diffusion Model for Adversarial Purification Jinyi Wang Zhaoyang Lyu Dahua Lin Bo Dai Hongfei Fu DiffM 424 109 0 30 May 2022
Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware ModelingIEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2022 Lei Cheng Feng Yin Sergios Theodoridis S. Chatzis Tsung-Hui Chang 234 89 0 28 May 2022
Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for FreeComputer Vision and Pattern Recognition (CVPR), 2022 Tianlong Chen Zhenyu Zhang Yihua Zhang Shiyu Chang Sijia Liu Zinan Lin AAML 144 26 0 24 May 2022
DDDM: a Brain-Inspired Framework for Robust ClassificationInternational Joint Conference on Artificial Intelligence (IJCAI), 2022 Xiyuan Chen Xingyu Li Yi Zhou Tianming Yang AAML DiffM 113 9 0 01 May 2022
How Sampling Impacts the Robustness of Stochastic Neural NetworksNeural Information Processing Systems (NeurIPS), 2022 Sina Daubener Asja Fischer SILM AAML 178 1 0 22 Apr 2022
Learning Compositional Representations for Effective Low-Shot GeneralizationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Samarth Mishra Pengkai Zhu Venkatesh Saligrama OCL 157 4 0 17 Apr 2022
Defensive Patches for Robust Recognition in the Physical WorldComputer Vision and Pattern Recognition (CVPR), 2022 Jinyang Guo Zixin Yin Pengfei Hu Aishan Liu Renshuai Tao Haotong Qin Xianglong Liu Dacheng Tao AAML 151 33 0 13 Apr 2022
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and MethodologiesPattern Recognition (Pattern Recogn.), 2022 Zhuang Qian Kaizhu Huang Qiufeng Wang Xu-Yao Zhang OOD AAML ObjD 191 89 0 26 Mar 2022
Adversarial Defense via Image Denoising with Chaotic Encryption Shi Hu Eric T. Nalisnick Max Welling 120 3 0 19 Mar 2022
AdIoTack: Quantifying and Refining Resilience of Decision Tree Ensemble Inference Models against Adversarial Volumetric Attacks on IoT NetworksComputers & security (Comput. Secur.), 2022 Arman Pashamokhtari Gustavo E. A. P. A. Batista Hassan Habibi Gharakheili AAML 193 10 0 18 Mar 2022
On the Properties of Adversarially-Trained CNNs Mattia Carletti M. Terzi Gian Antonio Susto AAML 136 1 0 17 Mar 2022
Practical Evaluation of Adversarial Robustness via Adaptive Auto AttackComputer Vision and Pattern Recognition (CVPR), 2022 Ye Liu Yaya Cheng Lianli Gao Xianglong Liu Qilong Zhang Jingkuan Song AAML 211 73 0 10 Mar 2022
Adversarial Patterns: Building Robust Android Malware ClassifiersACM Computing Surveys (ACM CSUR), 2022 Dipkamal Bhusal Nidhi Rastogi AAML 251 4 0 04 Mar 2022
Towards Robust Stacked Capsule Autoencoder with Hybrid Adversarial Training Jiazhu Dai Siwei Xiong AAML 102 2 0 28 Feb 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient TrainingInternational Conference on Learning Representations (ICLR), 2022 Tianlong Chen Zhenyu Zhang Pengju Wang Santosh Balachandra Haoyu Ma Zehao Wang Zinan Lin OOD AAML 295 52 0 20 Feb 2022
Smoothed Embeddings for Certified Few-Shot LearningNeural Information Processing Systems (NeurIPS), 2022 Mikhail Aleksandrovich Pautov Olesya Kuznetsova Nurislam Tursynbek Aleksandr Petiushko Ivan Oseledets 214 8 0 02 Feb 2022
An Eye for an Eye: Defending against Gradient-based Attacks with Gradients Hanbin Hong Yuan Hong Yu Kong AAML 177 3 0 02 Feb 2022
Adversarially Robust Classification by Conditional Generative Model InversionInternational Conference on Machine Learning and Computing (ICMLC), 2022 Mitra Alirezaei Tolga Tasdizen AAML 78 0 0 12 Jan 2022
Repairing Adversarial Texts through PerturbationTheoretical Aspects of Software Engineering (TASE), 2021 Guoliang Dong Jingyi Wang Jun Sun Sudipta Chattopadhyay Xinyu Wang Ting Dai Jie Shi J. Dong AAML 138 2 0 29 Dec 2021
Input-Specific Robustness Certification for Randomized SmoothingAAAI Conference on Artificial Intelligence (AAAI), 2021 Ruoxin Chen Jie Li Junchi Yan Ping Li Bin Sheng AAML 208 21 0 21 Dec 2021
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training Chen Liu Zhichao Huang Mathieu Salzmann Tong Zhang Sabine Süsstrunk AAML 269 14 0 14 Dec 2021