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Certified Robustness to Adversarial Examples with Differential Privacy

9 February 2018

Papers citing "Certified Robustness to Adversarial Examples with Differential Privacy"

50 / 567 papers shown

Title
Privacy-preserving Collaborative Learning with Automatic Transformation Search Wei Gao Shangwei Guo Tianwei Zhang Han Qiu Yonggang Wen Yang Liu 106 47 0 25 Nov 2020
When Machine Learning Meets Privacy: A Survey and Outlook B. Liu Ming Ding Sina shaham W. Rahayu F. Farokhi Zihuai Lin 97 293 0 24 Nov 2020
A Neuro-Inspired Autoencoding Defense Against Adversarial Perturbations Can Bakiskan Metehan Cekic Ahmet Dundar Sezer Upamanyu Madhow AAML 52 0 0 21 Nov 2020
Shaping Deep Feature Space towards Gaussian Mixture for Visual Classification Weitao Wan Jiansheng Chen Cheng Yu Tong Wu Yuanyi Zhong Ming-Hsuan Yang 38 8 0 18 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 61 24 0 15 Nov 2020
Reliable Graph Neural Networks via Robust Aggregation Simon Geisler Daniel Zügner Stephan Günnemann AAML OOD 55 72 0 29 Oct 2020
Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming Sumanth Dathathri Krishnamurthy Dvijotham Alexey Kurakin Aditi Raghunathan J. Uesato ... Shreya Shankar Jacob Steinhardt Ian Goodfellow Percy Liang Pushmeet Kohli AAML 107 95 0 22 Oct 2020
Certified Distributional Robustness on Smoothed Classifiers Jungang Yang Liyao Xiang Pengzhi Chu Yukun Wang Cheng Zhou Xinbing Wang AAML 49 0 0 21 Oct 2020
Mitigating Sybil Attacks on Differential Privacy based Federated Learning Yupeng Jiang Yong Li Yipeng Zhou Xi Zheng FedML AAML 65 15 0 20 Oct 2020
Tight Second-Order Certificates for Randomized Smoothing Alexander Levine Aounon Kumar Thomas A. Goldstein Soheil Feizi AAML 55 16 0 20 Oct 2020
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 361 707 0 19 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 121 48 0 19 Oct 2020
Weight-Covariance Alignment for Adversarially Robust Neural Networks Panagiotis Eustratiadis Henry Gouk Da Li Timothy M. Hospedales OOD AAML 86 23 0 17 Oct 2020
Layer-wise Characterization of Latent Information Leakage in Federated Learning Fan Mo Anastasia Borovykh Mohammad Malekzadeh Hamed Haddadi Soteris Demetriou FedML 80 31 0 17 Oct 2020
A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning Hongjun Wang Guanbin Li Xiaobai Liu Liang Lin GAN AAML 95 23 0 15 Oct 2020
Higher-Order Certification for Randomized Smoothing Jeet Mohapatra Ching-Yun Ko Tsui-Wei Weng Pin-Yu Chen Sijia Liu Luca Daniel AAML 71 45 0 13 Oct 2020
Decamouflage: A Framework to Detect Image-Scaling Attacks on Convolutional Neural Networks Bedeuro Kim A. Abuadbba Yansong Gao Yifeng Zheng Muhammad Ejaz Ahmed Hyoungshick Kim Surya Nepal 27 4 0 08 Oct 2020
A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference Sanghyun Hong Yigitcan Kaya Ionut-Vlad Modoranu Tudor Dumitras AAML 83 73 0 06 Oct 2020
Adversarial Boot Camp: label free certified robustness in one epoch Ryan Campbell Chris Finlay Adam M. Oberman AAML 50 0 0 05 Oct 2020
Do Wider Neural Networks Really Help Adversarial Robustness? Boxi Wu Jinghui Chen Deng Cai Xiaofei He Quanquan Gu AAML 110 95 0 03 Oct 2020
Query complexity of adversarial attacks Grzegorz Gluch R. Urbanke AAML 67 5 0 02 Oct 2020
Learning to Detect Objects with a 1 Megapixel Event Camera E. Perot Pierre de Tournemire D. Nitti Jonathan Masci A. Sironi ObjD 91 263 0 28 Sep 2020
Differentially Private Adversarial Robustness Through Randomized Perturbations Nan Xu Oluwaseyi Feyisetan Abhinav Aggarwal Zekun Xu Nathanael Teissier AAML OOD 39 4 0 27 Sep 2020
Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing Maurice Weber Nana Liu Yue Liu Ce Zhang Zhikuan Zhao AAML 83 32 0 21 Sep 2020
Adversarial Training with Stochastic Weight Average Joong-won Hwang Youngwan Lee Sungchan Oh Yuseok Bae OOD AAML 65 11 0 21 Sep 2020
Efficient Certification of Spatial Robustness Anian Ruoss Maximilian Baader Mislav Balunović Martin Vechev AAML 75 26 0 19 Sep 2020
Large Norms of CNN Layers Do Not Hurt Adversarial Robustness Youwei Liang Dong Huang 50 11 0 17 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 197 80 0 17 Sep 2020
Certifying Confidence via Randomized Smoothing Aounon Kumar Alexander Levine Soheil Feizi Tom Goldstein UQCV 98 40 0 17 Sep 2020
A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses Ambar Pal René Vidal AAML 106 27 0 14 Sep 2020
Certified Robustness of Graph Classification against Topology Attack with Randomized Smoothing Zhidong Gao Rui Hu Yanmin Gong AAML OOD 60 16 0 12 Sep 2020
SoK: Certified Robustness for Deep Neural Networks Linyi Li Tao Xie Yue Liu AAML 123 131 0 09 Sep 2020
Detection Defense Against Adversarial Attacks with Saliency Map Dengpan Ye Chuanxi Chen Changrui Liu Hao Wang Shunzhi Jiang AAML 57 28 0 06 Sep 2020
Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More Aleksandar Bojchevski Johannes Klicpera Stephan Günnemann AAML 118 87 0 29 Aug 2020
Adversarially Robust Learning via Entropic Regularization Gauri Jagatap Ameya Joshi A. B. Chowdhury S. Garg Chinmay Hegde OOD 128 11 0 27 Aug 2020
Semantically Adversarial Learnable Filters Ali Shahin Shamsabadi Changjae Oh Andrea Cavallaro GAN 87 6 0 13 Aug 2020
Provably Robust Adversarial Examples Dimitar I. Dimitrov Gagandeep Singh Timon Gehr Martin Vechev AAML 64 12 0 23 Jul 2020
Robust Machine Learning via Privacy/Rate-Distortion Theory Ye Wang Shuchin Aeron Adnan Siraj Rakin T. Koike-Akino P. Moulin OOD 74 6 0 22 Jul 2020
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review Yansong Gao Bao Gia Doan Zhi-Li Zhang Siqi Ma Jiliang Zhang Anmin Fu Surya Nepal Hyoungshick Kim AAML 129 235 0 21 Jul 2020
Do Adversarially Robust ImageNet Models Transfer Better? Hadi Salman Andrew Ilyas Logan Engstrom Ashish Kapoor Aleksander Madry 139 428 0 16 Jul 2020
SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems H. Abdullah Kevin Warren Vincent Bindschaedler Nicolas Papernot Patrick Traynor AAML 78 129 0 13 Jul 2020
Adversarial robustness via robust low rank representations Pranjal Awasthi Himanshu Jain A. S. Rawat Aravindan Vijayaraghavan AAML 59 23 0 13 Jul 2020
Security and Machine Learning in the Real World Ivan Evtimov Weidong Cui Ece Kamar Emre Kıcıman Tadayoshi Kohno Jingkai Li AAML 57 15 0 13 Jul 2020
Towards Robust Deep Learning with Ensemble Networks and Noisy Layers Yuting Liang Reza Samavi AAML 37 2 0 03 Jul 2020
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey S. Silva Peyman Najafirad AAML OOD 106 135 0 01 Jul 2020
Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes Loc Trinh Michael Tsang Sirisha Rambhatla Yan Liu 20 6 0 28 Jun 2020
Deep Partition Aggregation: Provable Defense against General Poisoning Attacks Alexander Levine Soheil Feizi AAML 65 148 0 26 Jun 2020
Network Moments: Extensions and Sparse-Smooth Attacks Modar Alfadly Adel Bibi Emilio Botero Salman Alsubaihi Guohao Li AAML 51 2 0 21 Jun 2020
Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble Yi Zhou Xiaoqing Zheng Cho-Jui Hsieh Kai-Wei Chang Xuanjing Huang SILM 105 48 0 20 Jun 2020
Backdoor Attacks to Graph Neural Networks Zaixi Zhang Jinyuan Jia Binghui Wang Neil Zhenqiang Gong GNN 107 220 0 19 Jun 2020