Towards Robust Neural Networks via Random Self-ensemble

2 December 2017

Papers citing "Towards Robust Neural Networks via Random Self-ensemble"

50 / 242 papers shown

Title
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100 Sahil Singla Surbhi Singla S. Feizi AAML 32 54 0 05 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Saeed Mian Navid Kardan M. Shah AAML 26 235 0 01 Aug 2021
Enhancing Adversarial Robustness via Test-time Transformation Ensembling Juan C. Pérez Motasem Alfarra Guillaume Jeanneret Laura Rueda Ali K. Thabet Bernard Ghanem Pablo Arbelaez 17 26 0 29 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 27 9 0 12 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 16 1 0 08 Jul 2021
GradDiv: Adversarial Robustness of Randomized Neural Networks via Gradient Diversity Regularization Sungyoon Lee Hoki Kim Jaewook Lee AAML 24 52 0 06 Jul 2021
Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations Nikita Muravev Aleksandr Petiushko AAML 13 7 0 28 Jun 2021
Understanding the Interplay between Privacy and Robustness in Federated Learning Yaowei Han Yang Cao Masatoshi Yoshikawa FedML 25 3 0 13 Jun 2021
Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks Nezihe Merve Gürel Xiangyu Qi Luka Rimanic Ce Zhang Bo-wen Li AAML 11 39 0 11 Jun 2021
Adversarial Attack and Defense in Deep Ranking Mo Zhou Le Wang Zhenxing Niu Qilin Zhang N. Zheng G. Hua OOD 26 14 0 07 Jun 2021
Ensemble Defense with Data Diversity: Weak Correlation Implies Strong Robustness Renjue Li Hanwei Zhang Pengfei Yang Cheng-Chao Huang Aimin Zhou Bai Xue Lijun Zhang FedML AAML 13 4 0 05 Jun 2021
Skew Orthogonal Convolutions Sahil Singla S. Feizi 21 66 0 24 May 2021
Adversarial Examples Detection with Bayesian Neural Network Yao Li Tongyi Tang Cho-Jui Hsieh T. C. Lee GAN AAML 30 3 0 18 May 2021
Sparta: Spatially Attentive and Adversarially Robust Activation Qing-Wu Guo Felix Juefei Xu Changqing Zhou Wei Feng Yang Liu Song Wang AAML 19 4 0 18 May 2021
Towards Trustworthy Deception Detection: Benchmarking Model Robustness across Domains, Modalities, and Languages M. Glenski Ellyn Ayton Robin Cosbey Dustin L. Arendt Svitlana Volkova 24 7 0 23 Apr 2021
Random Noise Defense Against Query-Based Black-Box Attacks Zeyu Qin Yanbo Fan H. Zha Baoyuan Wu AAML 19 59 0 23 Apr 2021
MixDefense: A Defense-in-Depth Framework for Adversarial Example Detection Based on Statistical and Semantic Analysis Yijun Yang Ruiyuan Gao Yu Li Qiuxia Lai Qiang Xu AAML 11 1 0 20 Apr 2021
Relating Adversarially Robust Generalization to Flat Minima David Stutz Matthias Hein Bernt Schiele OOD 27 65 0 09 Apr 2021
The art of defense: letting networks fool the attacker Jinlai Zhang Lyvjie Chen Binbin Liu Bojun Ouyang Jihong Zhu Minchi Kuang Houqing Wang Yanmei Meng AAML 3DPC 9 15 0 07 Apr 2021
Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses Yao Deng Tiehua Zhang Guannan Lou Xi Zheng Jiong Jin Qing-Long Han AAML 27 98 0 05 Apr 2021
Diverse Gaussian Noise Consistency Regularization for Robustness and Uncertainty Calibration Theodoros Tsiligkaridis Athanasios Tsiligkaridis 25 3 0 02 Apr 2021
Combating Adversaries with Anti-Adversaries Motasem Alfarra Juan C. Pérez Ali K. Thabet Adel Bibi Philip H. S. Torr Bernard Ghanem AAML 26 26 0 26 Mar 2021
Adversarial Feature Augmentation and Normalization for Visual Recognition Tianlong Chen Yu Cheng Zhe Gan Jianfeng Wang Lijuan Wang Zhangyang Wang Jingjing Liu AAML ViT 10 19 0 22 Mar 2021
Colorectal Cancer Segmentation using Atrous Convolution and Residual Enhanced UNet Nisarg A. Shah D. Gupta Romil Lodaya Ujjwal Baid Sanjay Talbar SSeg MedIm 6 8 0 16 Mar 2021
Stochastic-HMDs: Adversarial Resilient Hardware Malware Detectors through Voltage Over-scaling Md. Shohidul Islam Ihsen Alouani Khaled N. Khasawneh AAML 6 1 0 11 Mar 2021
Revisiting Model's Uncertainty and Confidences for Adversarial Example Detection Ahmed Aldahdooh W. Hamidouche Olivier Déforges AAML 13 28 0 09 Mar 2021
Dynamic Efficient Adversarial Training Guided by Gradient Magnitude Fu Lee Wang Yanghao Zhang Yanbin Zheng Wenjie Ruan 23 1 0 04 Mar 2021
PointGuard: Provably Robust 3D Point Cloud Classification Hongbin Liu Jinyuan Jia Neil Zhenqiang Gong 3DPC 6 75 0 04 Mar 2021
On the robustness of randomized classifiers to adversarial examples Rafael Pinot Laurent Meunier Florian Yger Cédric Gouy-Pailler Y. Chevaleyre Jamal Atif AAML 32 14 0 22 Feb 2021
Random Projections for Improved Adversarial Robustness Ginevra Carbone G. Sanguinetti Luca Bortolussi AAML 19 2 0 18 Feb 2021
Low Curvature Activations Reduce Overfitting in Adversarial Training Vasu Singla Sahil Singla David Jacobs S. Feizi AAML 32 45 0 15 Feb 2021
Towards Bridging the gap between Empirical and Certified Robustness against Adversarial Examples Jay Nandy Sudipan Saha W. Hsu M. Lee Xiaosu Zhu AAML 19 3 0 09 Feb 2021
Security and Privacy for Artificial Intelligence: Opportunities and Challenges Ayodeji Oseni Nour Moustafa Helge Janicke Peng Liu Z. Tari A. Vasilakos AAML 34 48 0 09 Feb 2021
Noise Optimization for Artificial Neural Networks Li Xiao Zeliang Zhang Yijie Peng 31 13 0 06 Feb 2021
Towards Robust Neural Networks via Close-loop Control Zhuotong Chen Qianxiao Li Zheng-Wei Zhang OOD AAML 19 24 0 03 Feb 2021
Adversarial Machine Learning in Text Analysis and Generation I. Alsmadi AAML 8 5 0 14 Jan 2021
On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks Junyoung Byun Hyojun Go Changick Kim AAML 120 18 0 13 Jan 2021
Deep Gaussian Denoiser Epistemic Uncertainty and Decoupled Dual-Attention Fusion Xiaoqi Ma Xiaoyu Lin Majed El Helou Sabine Süsstrunk UQCV 29 5 0 12 Jan 2021
Self-Progressing Robust Training Minhao Cheng Pin-Yu Chen Sijia Liu Shiyu Chang Cho-Jui Hsieh Payel Das AAML VLM 16 9 0 22 Dec 2020
A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks Qingsong Yao Zecheng He Yi Lin Kai Ma Yefeng Zheng S. Kevin Zhou AAML MedIm 27 16 0 17 Dec 2020
Evaluating adversarial robustness in simulated cerebellum Liu Yuezhang Bo Li Qifeng Chen AAML 4 0 0 05 Dec 2020
Deterministic Certification to Adversarial Attacks via Bernstein Polynomial Approximation Ching-Chia Kao Jhe-Bang Ko Chun-Shien Lu AAML 16 1 0 28 Nov 2020
Voting based ensemble improves robustness of defensive models Devvrit Minhao Cheng Cho-Jui Hsieh Inderjit Dhillon OOD FedML AAML 36 12 0 28 Nov 2020
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations Jinyuan Jia Binghui Wang Xiaoyu Cao Hongbin Liu Neil Zhenqiang Gong 6 24 0 15 Nov 2020
Trustworthy AI Richa Singh Mayank Vatsa N. Ratha 15 4 0 02 Nov 2020
Attack Agnostic Adversarial Defense via Visual Imperceptible Bound S. Chhabra Akshay Agarwal Richa Singh Mayank Vatsa AAML 16 3 0 25 Oct 2020
Unified Gradient Reweighting for Model Biasing with Applications to Source Separation Efthymios Tzinis Dimitrios Bralios Paris Smaragdis 19 1 0 25 Oct 2020
Towards Robust Neural Networks via Orthogonal Diversity Kun Fang Qinghua Tao Yingwen Wu Tao Li Jia Cai Feipeng Cai Xiaolin Huang Jie-jin Yang AAML 28 8 0 23 Oct 2020
Weight-Covariance Alignment for Adversarially Robust Neural Networks Panagiotis Eustratiadis H. Gouk Da Li Timothy M. Hospedales OOD AAML 6 23 0 17 Oct 2020
Performance evaluation and application of computation based low-cost homogeneous machine learning model algorithm for image classification W. Huang 9 0 0 16 Oct 2020