v1v2v3v4 (latest)

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
Do Perceptually Aligned Gradients Imply Adversarial Robustness? Roy Ganz Bahjat Kawar Michael Elad AAML 67 10 0 22 Jul 2022
Certified Neural Network Watermarks with Randomized Smoothing Arpit Bansal Ping Yeh-Chiang Michael J. Curry R. Jain Curtis Wigington Varun Manjunatha John P. Dickerson Tom Goldstein AAML 118 41 0 16 Jul 2022
Sound Randomized Smoothing in Floating-Point Arithmetics Václav Voráček Matthias Hein 82 4 0 14 Jul 2022
Certified Adversarial Robustness via Anisotropic Randomized Smoothing Hanbin Hong Yuan Hong AAML 79 5 0 12 Jul 2022
RUSH: Robust Contrastive Learning via Randomized Smoothing Yijiang Pang Boyang Liu Jiayu Zhou OOD AAML 61 1 0 11 Jul 2022
Jacobian Norm with Selective Input Gradient Regularization for Improved and Interpretable Adversarial Defense Deyin Liu Lin Wu Haifeng Zhao F. Boussaïd Bennamoun Xianghua Xie AAML 75 3 0 09 Jul 2022
UniCR: Universally Approximated Certified Robustness via Randomized Smoothing Hanbin Hong Binghui Wang Yuan Hong AAML 83 11 0 05 Jul 2022
Conflicting Interactions Among Protection Mechanisms for Machine Learning Models S. Szyller Nadarajah Asokan AAML 113 7 0 05 Jul 2022
Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples Giovanni Apruzzese Rodion Vladimirov A.T. Tastemirova Pavel Laskov AAML 102 16 0 04 Jul 2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness Francesco Pinto Harry Yang Ser-Nam Lim Philip Torr P. Dokania UQCV 104 37 0 29 Jun 2022
Increasing Confidence in Adversarial Robustness Evaluations Roland S. Zimmermann Wieland Brendel Florian Tramèr Nicholas Carlini AAML 72 16 0 28 Jun 2022
On Certifying and Improving Generalization to Unseen Domains Akshay Mehra B. Kailkhura Pin-Yu Chen Jihun Hamm OOD 99 4 0 24 Jun 2022
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing Jiayin Jin Zeru Zhang Yang Zhou Lingfei Wu 73 13 0 22 Jun 2022
(Certified!!) Adversarial Robustness for Free! Nicholas Carlini Florian Tramèr Krishnamurthy Dvijotham Leslie Rice Mingjie Sun J. Zico Kolter DiffM 119 155 0 21 Jun 2022
Riemannian data-dependent randomized smoothing for neural networks certification Pol Labarbarie H. Hajri M. Arnaudon 47 4 0 21 Jun 2022
Transferable Graph Backdoor Attack Shuiqiao Yang Bao Gia Doan Paul Montague O. Vel Tamas Abraham S. Çamtepe Damith C. Ranasinghe S. Kanhere AAML 98 39 0 21 Jun 2022
On the Limitations of Stochastic Pre-processing Defenses Yue Gao Ilia Shumailov Kassem Fawaz Nicolas Papernot AAML SILM 111 32 0 19 Jun 2022
Demystifying the Adversarial Robustness of Random Transformation Defenses Chawin Sitawarin Zachary Golan-Strieb David Wagner AAML 94 21 0 18 Jun 2022
RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval Yihan Wu Hongyang R. Zhang Heng Huang 3DV 81 17 0 17 Jun 2022
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey Abhijith Sharma Yijun Bian Phil Munz Apurva Narayan VLM AAML 82 20 0 16 Jun 2022
Double Sampling Randomized Smoothing Linyi Li Jiawei Zhang Tao Xie Yue Liu AAML 91 25 0 16 Jun 2022
Morphence-2.0: Evasion-Resilient Moving Target Defense Powered by Out-of-Distribution Detection Abderrahmen Amich Ata Kaboudi Birhanu Eshete AAML OODD 32 2 0 15 Jun 2022
Adversarial Vulnerability of Randomized Ensembles Hassan Dbouk Naresh R Shanbhag AAML 61 7 0 14 Jun 2022
Explicit Regularization in Overparametrized Models via Noise Injection Antonio Orvieto Anant Raj Hans Kersting Francis R. Bach 82 27 0 09 Jun 2022
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing Zhongkai Hao Chengyang Ying Yinpeng Dong Hang Su Jun Zhu Jian Song AAML 92 21 0 09 Jun 2022
Towards Evading the Limits of Randomized Smoothing: A Theoretical Analysis Raphael Ettedgui Alexandre Araujo Rafael Pinot Y. Chevaleyre Jamal Atif AAML 67 3 0 03 Jun 2022
Gradient Obfuscation Checklist Test Gives a False Sense of Security Nikola Popovic D. Paudel Thomas Probst Luc Van Gool AAML 81 6 0 03 Jun 2022
(De-)Randomized Smoothing for Decision Stump Ensembles Miklós Z. Horváth Mark Niklas Muller Marc Fischer Martin Vechev 86 4 0 27 May 2022
Certified Robustness Against Natural Language Attacks by Causal Intervention Haiteng Zhao Chang Ma Xinshuai Dong Anh Tuan Luu Zhi-Hong Deng Hanwang Zhang AAML 108 36 0 24 May 2022
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks Sizhe Chen Zhehao Huang Qinghua Tao Yingwen Wu Cihang Xie Xiaolin Huang AAML 199 28 0 24 May 2022
Getting a-Round Guarantees: Floating-Point Attacks on Certified Robustness Jiankai Jin O. Ohrimenko Benjamin I. P. Rubinstein AAML 74 3 0 20 May 2022
On Trace of PGD-Like Adversarial Attacks Mo Zhou Vishal M. Patel AAML 75 4 0 19 May 2022
Smooth-Reduce: Leveraging Patches for Improved Certified Robustness Ameya Joshi Minh Pham Minsu Cho Leonid Boytsov Filipe Condessa J. Zico Kolter Chinmay Hegde UQCV AAML 70 2 0 12 May 2022
Can collaborative learning be private, robust and scalable? Dmitrii Usynin Helena Klause Johannes C. Paetzold Daniel Rueckert Georgios Kaissis FedML MedIm 49 3 0 05 May 2022
Randomized Smoothing under Attack: How Good is it in Pratice? Thibault Maho Teddy Furon Erwan Le Merrer AAML 50 10 0 28 Apr 2022
How Sampling Impacts the Robustness of Stochastic Neural Networks Sina Daubener Asja Fischer SILM AAML 57 1 0 22 Apr 2022
3DeformRS: Certifying Spatial Deformations on Point Clouds S. GabrielPérez Juan C. Pérez Motasem Alfarra Silvio Giancola Guohao Li 3DPC 95 12 0 12 Apr 2022
Stability and Generalization of Differentially Private Minimax Problems Yilin Kang Yong Liu Jian Li Weiping Wang 143 3 0 11 Apr 2022
Enabling All In-Edge Deep Learning: A Literature Review Praveen Joshi Mohammed Hasanuzzaman Chandra Thapa Haithem Afli T. Scully 102 24 0 07 Apr 2022
Robust and Accurate -- Compositional Architectures for Randomized Smoothing Miklós Z. Horváth Mark Niklas Muller Marc Fischer Martin Vechev UQCV AAML 67 14 0 01 Apr 2022
A Fast and Efficient Conditional Learning for Tunable Trade-Off between Accuracy and Robustness Souvik Kundu Sairam Sundaresan Massoud Pedram Peter A. Beerel AAML 43 1 0 28 Mar 2022
Mixed Differential Privacy in Computer Vision Aditya Golatkar Alessandro Achille Yu Wang Aaron Roth Michael Kearns Stefano Soatto PICV VLM 96 50 0 22 Mar 2022
Provable Adversarial Robustness for Fractional Lp Threat Models Alexander Levine Soheil Feizi 21 2 0 16 Mar 2022
Optimizer Amalgamation Tianshu Huang Tianlong Chen Sijia Liu Shiyu Chang Lisa Amini Zhangyang Wang MoMe 69 4 0 12 Mar 2022
A Survey of Adversarial Defences and Robustness in NLP Shreyansh Goyal Sumanth Doddapaneni Mitesh M.Khapra B. Ravindran AAML 91 30 0 12 Mar 2022
SoK: On the Semantic AI Security in Autonomous Driving Junjie Shen Ningfei Wang Ziwen Wan Yunpeng Luo Takami Sato ... Zhenyu Zhong Kang Li Ziming Zhao Chunming Qiao Qi Alfred Chen AAML 82 41 0 10 Mar 2022
Defending Black-box Skeleton-based Human Activity Classifiers He Wang Yunfeng Diao Zichang Tan G. Guo AAML 133 10 0 09 Mar 2022
Differential Privacy Amplification in Quantum and Quantum-inspired Algorithms Armando Angrisani Mina Doosti E. Kashefi 87 12 0 07 Mar 2022
Quantum Local Differential Privacy and Quantum Statistical Query Model Armando Angrisani E. Kashefi 88 12 0 07 Mar 2022
Adversarially Robust Learning with Tolerance H. Ashtiani Vinayak Pathak Ruth Urner AAML 56 10 0 02 Mar 2022