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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
Improving Adversarial Robustness via Unlabeled Out-of-Domain Data Zhun Deng Linjun Zhang Amirata Ghorbani James Zou 99 32 0 15 Jun 2020
Defensive Approximation: Securing CNNs using Approximate Computing Amira Guesmi Ihsen Alouani Khaled N. Khasawneh M. Baklouti T. Frikha Mohamed Abid Nael B. Abu-Ghazaleh AAML 88 38 0 13 Jun 2020
D-square-B: Deep Distribution Bound for Natural-looking Adversarial Attack Qiuling Xu Guanhong Tao Xiangyu Zhang AAML 76 2 0 12 Jun 2020
On the Tightness of Semidefinite Relaxations for Certifying Robustness to Adversarial Examples Richard Y. Zhang AAML 65 26 0 11 Jun 2020
Deterministic Gaussian Averaged Neural Networks Ryan Campbell Chris Finlay Adam M. Oberman FedML 20 1 0 10 Jun 2020
Extensions and limitations of randomized smoothing for robustness guarantees Jamie Hayes AAML 62 21 0 07 Jun 2020
BUDS: Balancing Utility and Differential Privacy by Shuffling Poushali Sengupta Sudipta Paul Subhankar Mishra FedML 39 6 0 07 Jun 2020
Consistency Regularization for Certified Robustness of Smoothed Classifiers Jongheon Jeong Jinwoo Shin AAML 86 88 0 07 Jun 2020
Pick-Object-Attack: Type-Specific Adversarial Attack for Object Detection Omid Mohamad Nezami Akshay Chaturvedi Mark Dras Utpal Garain AAML ObjD 61 19 0 05 Jun 2020
Towards Understanding Fast Adversarial Training Bai Li Shiqi Wang Suman Jana Lawrence Carin AAML 78 50 0 04 Jun 2020
Second-Order Provable Defenses against Adversarial Attacks Sahil Singla Soheil Feizi AAML 74 60 0 01 Jun 2020
Calibrated Surrogate Losses for Adversarially Robust Classification Han Bao Clayton Scott Masashi Sugiyama 78 46 0 28 May 2020
Enhancing Certified Robustness via Smoothed Weighted Ensembling Chizhou Liu Yunzhen Feng Ranran Wang Bin Dong AAML 80 12 0 19 May 2020
PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking Chong Xiang A. Bhagoji Vikash Sehwag Prateek Mittal AAML 75 29 0 17 May 2020
Towards Assessment of Randomized Smoothing Mechanisms for Certifying Adversarial Robustness Tianhang Zheng Di Wang Baochun Li Jinhui Xu AAML 24 0 0 15 May 2020
Towards Understanding the Adversarial Vulnerability of Skeleton-based Action Recognition Tianhang Zheng Sheng Liu Changyou Chen Junsong Yuan Baochun Li K. Ren AAML 83 17 0 14 May 2020
Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers Brian Kim Y. Sagduyu Kemal Davaslioglu T. Erpek S. Ulukus AAML 89 119 0 11 May 2020
Provable Robust Classification via Learned Smoothed Densities Saeed Saremi R. Srivastava AAML 88 3 0 09 May 2020
Towards Robustness against Unsuspicious Adversarial Examples Liang Tong Minzhe Guo A. Prakash Yevgeniy Vorobeychik AAML 30 0 0 08 May 2020
Noisy Differentiable Architecture Search Xiangxiang Chu Bo Zhang 44 43 0 07 May 2020
Robustness Certification of Generative Models M. Mirman Timon Gehr Martin Vechev AAML 70 21 0 30 Apr 2020
Towards Feature Space Adversarial Attack Qiuling Xu Guanhong Tao Shuyang Cheng Xinming Zhang GAN AAML 66 25 0 26 Apr 2020
Privacy in Deep Learning: A Survey Fatemehsadat Mirshghallah Mohammadkazem Taram Praneeth Vepakomma Abhishek Singh Ramesh Raskar H. Esmaeilzadeh FedML 129 139 0 25 Apr 2020
SplitFed: When Federated Learning Meets Split Learning Chandra Thapa Pathum Chamikara Mahawaga Arachchige S. Çamtepe Lichao Sun FedML 113 596 0 25 Apr 2020
Adversarial Robustness Guarantees for Random Deep Neural Networks Giacomo De Palma B. Kiani S. Lloyd AAML OOD 55 8 0 13 Apr 2020
Approximate Manifold Defense Against Multiple Adversarial Perturbations Jay Nandy Wynne Hsu Mong Li Lee AAML 65 12 0 05 Apr 2020
Evading Deepfake-Image Detectors with White- and Black-Box Attacks Nicholas Carlini Hany Farid AAML 81 150 0 01 Apr 2020
Adversarial Robustness on In- and Out-Distribution Improves Explainability Maximilian Augustin Alexander Meinke Matthias Hein OOD 193 102 0 20 Mar 2020
Quantum noise protects quantum classifiers against adversaries Yuxuan Du Min-hsiu Hsieh Tongliang Liu Dacheng Tao Nana Liu AAML 78 112 0 20 Mar 2020
Breaking certified defenses: Semantic adversarial examples with spoofed robustness certificates Amin Ghiasi Ali Shafahi Tom Goldstein 102 55 0 19 Mar 2020
RAB: Provable Robustness Against Backdoor Attacks Maurice Weber Xiaojun Xu Bojan Karlas Ce Zhang Yue Liu AAML 120 164 0 19 Mar 2020
Denoised Smoothing: A Provable Defense for Pretrained Classifiers Hadi Salman Mingjie Sun Greg Yang Ashish Kapoor J. Zico Kolter 94 23 0 04 Mar 2020
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks Francesco Croce Matthias Hein AAML 302 1,866 0 03 Mar 2020
Analyzing Accuracy Loss in Randomized Smoothing Defenses Yue Gao Harrison Rosenberg Kassem Fawaz S. Jha Justin Hsu AAML 78 6 0 03 Mar 2020
Hidden Cost of Randomized Smoothing Jeet Mohapatra Ching-Yun Ko Tsui-Wei Weng Weng Sijia Liu Pin-Yu Chen Luca Daniel AAML 78 11 0 02 Mar 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness Ahmadreza Jeddi M. Shafiee Michelle Karg C. Scharfenberger A. Wong OOD AAML 129 67 0 02 Mar 2020
Certified Defense to Image Transformations via Randomized Smoothing Marc Fischer Maximilian Baader Martin Vechev AAML 87 67 0 27 Feb 2020
TSS: Transformation-Specific Smoothing for Robustness Certification Linyi Li Maurice Weber Xiaojun Xu Luka Rimanic B. Kailkhura Tao Xie Ce Zhang Yue Liu AAML 147 57 0 27 Feb 2020
Overfitting in adversarially robust deep learning Leslie Rice Eric Wong Zico Kolter 167 812 0 26 Feb 2020
Randomization matters. How to defend against strong adversarial attacks Rafael Pinot Raphael Ettedgui Geovani Rizk Y. Chevaleyre Jamal Atif AAML 130 60 0 26 Feb 2020
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger Jingfeng Zhang Xilie Xu Bo Han Gang Niu Li-zhen Cui Masashi Sugiyama Mohan S. Kankanhalli AAML 69 406 0 26 Feb 2020
(De)Randomized Smoothing for Certifiable Defense against Patch Attacks Alexander Levine Soheil Feizi AAML 95 150 0 25 Feb 2020
Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework Dinghuai Zhang Mao Ye Chengyue Gong Zhanxing Zhu Qiang Liu AAML 99 64 0 21 Feb 2020
Towards Certifiable Adversarial Sample Detection Ilia Shumailov Yiren Zhao Robert D. Mullins Ross J. Anderson AAML 51 13 0 20 Feb 2020
Randomized Smoothing of All Shapes and Sizes Greg Yang Tony Duan J. E. Hu Hadi Salman Ilya P. Razenshteyn Jungshian Li AAML 103 216 0 19 Feb 2020
Propose, Test, Release: Differentially private estimation with high probability Victor-Emmanuel Brunel Marco Avella-Medina FedML 78 22 0 19 Feb 2020
Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness Huijie Feng Chunpeng Wu Guoyang Chen Weifeng Zhang Y. Ning AAML 71 11 0 17 Feb 2020
Stabilizing Differentiable Architecture Search via Perturbation-based Regularization Xiangning Chen Cho-Jui Hsieh 102 207 0 12 Feb 2020
More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models Lin Chen Yifei Min Mingrui Zhang Amin Karbasi OOD 88 64 0 11 Feb 2020
$Random Smoothing Might be Unable to Certify $\ell_\infty$ Robustness for High-Dimensional Images$ Random Smoothing Might be Unable to Certify $\ell_\infty$ Robustness for High-Dimensional Images Avrim Blum Travis Dick N. Manoj Hongyang R. Zhang AAML 81 79 0 10 Feb 2020