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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
CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks Mikhail Aleksandrovich Pautov Nurislam Tursynbek Marina Munkhoeva Nikita Muravev Aleksandr Petiushko Ivan Oseledets AAML 93 16 0 22 Sep 2021
An automatic differentiation system for the age of differential privacy Dmitrii Usynin Alexander Ziller Moritz Knolle Andrew Trask Kritika Prakash Daniel Rueckert Georgios Kaissis 93 3 0 22 Sep 2021
Privacy, Security, and Utility Analysis of Differentially Private CPES Data Md Tamjid Hossain S. Badsha Haoting Shen 64 10 0 21 Sep 2021
A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples Guanxiong Liu Issa M. Khalil Abdallah Khreishah Nhathai Phan SILM AAML 36 15 0 03 Sep 2021
Morphence: Moving Target Defense Against Adversarial Examples Abderrahmen Amich Birhanu Eshete AAML 83 24 0 31 Aug 2021
Certifiers Make Neural Networks Vulnerable to Availability Attacks Tobias Lorenz Marta Kwiatkowska Mario Fritz AAML SILM 69 3 0 25 Aug 2021
Integer-arithmetic-only Certified Robustness for Quantized Neural Networks Haowen Lin Jian Lou Li Xiong Cyrus Shahabi MQ AAML 54 13 0 21 Aug 2021
PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier Chong Xiang Saeed Mahloujifar Prateek Mittal VLM AAML 103 78 0 20 Aug 2021
Seven challenges for harmonizing explainability requirements Jiahao Chen Victor Storchan 71 8 0 11 Aug 2021
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100 Sahil Singla Surbhi Singla Soheil Feizi AAML 90 58 0 05 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 165 242 0 01 Aug 2021
NeuralDP Differentially private neural networks by design Moritz Knolle Dmitrii Usynin Alexander Ziller Marcus R. Makowski Daniel Rueckert Georgios Kaissis 37 1 0 30 Jul 2021
On the Certified Robustness for Ensemble Models and Beyond Zhuolin Yang Linyi Li Xiaojun Xu B. Kailkhura Tao Xie Yue Liu AAML 106 50 0 22 Jul 2021
Using Undervolting as an On-Device Defense Against Adversarial Machine Learning Attacks Saikat Majumdar Mohammad Hossein Samavatian Kristin Barber R. Teodorescu AAML 40 7 0 20 Jul 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions Eike Petersen Yannik Potdevin Esfandiar Mohammadi Stephan Zidowitz Sabrina Breyer ... Sandra Henn Ludwig Pechmann M. Leucker P. Rostalski Christian Herzog FaML AILaw OOD 105 24 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 72 9 0 12 Jul 2021
ANCER: Anisotropic Certification via Sample-wise Volume Maximization Francisco Eiras Motasem Alfarra M. P. Kumar Philip Torr P. Dokania Guohao Li Adel Bibi 89 32 0 09 Jul 2021
Universal 3-Dimensional Perturbations for Black-Box Attacks on Video Recognition Systems Shangyu Xie Han Wang Yu Kong Yuan Hong AAML 70 27 0 09 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 37 1 0 08 Jul 2021
ROPUST: Improving Robustness through Fine-tuning with Photonic Processors and Synthetic Gradients Alessandro Cappelli Julien Launay Laurent Meunier Ruben Ohana Iacopo Poli AAML 53 4 0 06 Jul 2021
Certifiably Robust Interpretation via Renyi Differential Privacy Ao Liu Xiaoyu Chen Sijia Liu Lirong Xia Chuang Gan AAML 64 14 0 04 Jul 2021
Smoothed Differential Privacy Ao Liu Yu-Xiang Wang Lirong Xia 80 0 0 04 Jul 2021
DeformRS: Certifying Input Deformations with Randomized Smoothing Motasem Alfarra Adel Bibi Naeemullah Khan Philip Torr Guohao Li 66 22 0 02 Jul 2021
Scalable Certified Segmentation via Randomized Smoothing Marc Fischer Maximilian Baader Martin Vechev 78 41 0 01 Jul 2021
Evading Adversarial Example Detection Defenses with Orthogonal Projected Gradient Descent Oliver Bryniarski Nabeel Hingun Pedro Pachuca Vincent Wang Nicholas Carlini AAML 82 37 0 28 Jun 2021
Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations Nikita Muravev Aleksandr Petiushko AAML 56 8 0 28 Jun 2021
Countering Adversarial Examples: Combining Input Transformation and Noisy Training Cheng Zhang Pan Gao AAML 41 3 0 25 Jun 2021
Policy Smoothing for Provably Robust Reinforcement Learning Aounon Kumar Alexander Levine Soheil Feizi AAML 127 59 0 21 Jun 2021
Adversarial Training Helps Transfer Learning via Better Representations Zhun Deng Linjun Zhang Kailas Vodrahalli Kenji Kawaguchi James Zou GAN 89 54 0 18 Jun 2021
Large Scale Private Learning via Low-rank Reparametrization Da Yu Huishuai Zhang Wei Chen Jian Yin Tie-Yan Liu 87 106 0 17 Jun 2021
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing Fan Wu Linyi Li Zijian Huang Yevgeniy Vorobeychik Ding Zhao Yue Liu AAML OffRL 85 61 0 17 Jun 2021
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks Yulong Cao* Ningfei Wang* Chaowei Xiao Dawei Yang Jin Fang Ruigang Yang Qi Alfred Chen Mingyan D. Liu Yue Liu AAML 101 226 0 17 Jun 2021
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks Chulin Xie Minghao Chen Pin-Yu Chen Yue Liu FedML 102 174 0 15 Jun 2021
Understanding the Interplay between Privacy and Robustness in Federated Learning Yaowei Han Yang Cao Masatoshi Yoshikawa FedML 73 3 0 13 Jun 2021
Boosting Randomized Smoothing with Variance Reduced Classifiers Miklós Z. Horváth Mark Niklas Muller Marc Fischer Martin Vechev AAML UQCV 90 48 0 13 Jun 2021
Adversarial Robustness via Fisher-Rao Regularization Marine Picot Francisco Messina Malik Boudiaf Fabrice Labeau Ismail Ben Ayed Pablo Piantanida AAML 79 25 0 12 Jun 2021
Relaxing Local Robustness Klas Leino Matt Fredrikson AAML 63 8 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 121 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 93 33 0 09 Jun 2021
Handcrafted Backdoors in Deep Neural Networks Sanghyun Hong Nicholas Carlini Alexey Kurakin 132 76 0 08 Jun 2021
Enhancing Robustness of Neural Networks through Fourier Stabilization Netanel Raviv Aidan Kelley Michael M. Guo Yevgeny Vorobeychik AAML 29 13 0 08 Jun 2021
Improving Neural Network Robustness via Persistency of Excitation Kaustubh Sridhar O. Sokolsky Insup Lee James Weimer AAML 97 20 0 03 Jun 2021
NoiLIn: Improving Adversarial Training and Correcting Stereotype of Noisy Labels Jingfeng Zhang Xilie Xu Bo Han Tongliang Liu Gang Niu Li-zhen Cui Masashi Sugiyama NoLa AAML 87 9 0 31 May 2021
Quantifying and Localizing Usable Information Leakage from Neural Network Gradients Fan Mo Anastasia Borovykh Mohammad Malekzadeh Soteris Demetriou Deniz Gündüz Hamed Haddadi FedML 31 3 0 28 May 2021
Skew Orthogonal Convolutions Sahil Singla Soheil Feizi 86 69 0 24 May 2021
Certified Robustness to Text Adversarial Attacks by Randomized [MASK] Jiehang Zeng Xiaoqing Zheng Jianhan Xu Linyang Li Liping Yuan Xuanjing Huang AAML 93 70 0 08 May 2021
Dynamic Defense Approach for Adversarial Robustness in Deep Neural Networks via Stochastic Ensemble Smoothed Model Ruoxi Qin Linyuan Wang Xing-yuan Chen Xuehui Du Bin Yan AAML 69 5 0 06 May 2021
Random Noise Defense Against Query-Based Black-Box Attacks Zeyu Qin Yanbo Fan H. Zha Baoyuan Wu AAML 137 60 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 39 1 0 20 Apr 2021
Provable Robustness of Adversarial Training for Learning Halfspaces with Noise Difan Zou Spencer Frei Quanquan Gu 58 13 0 19 Apr 2021