On the Certified Robustness for Ensemble Models and Beyond

22 July 2021

Papers citing "On the Certified Robustness for Ensemble Models and Beyond"

33 / 33 papers shown

Title
On the Adversarial Transferability of Generalized "Skip Connections" Yisen Wang Yichuan Mo Dongxian Wu Mingjie Li Xingjun Ma Zhouchen Lin AAML 28 2 0 11 Oct 2024
Effective Segmentation of Post-Treatment Gliomas Using Simple Approaches: Artificial Sequence Generation and Ensemble Models Heejong Kim Léo Milecki Mina C Moghadam Fengbei Liu Minh Le Nguyen Eric Qiu Abhishek Thanki Mert R Sabuncu 35 0 0 12 Sep 2024
SPLITZ: Certifiable Robustness via Split Lipschitz Randomized Smoothing Meiyu Zhong Ravi Tandon 36 3 0 03 Jul 2024
Biomarker based Cancer Classification using an Ensemble with Pre-trained Models Chongmin Lee Jihie Kim 29 0 0 14 Jun 2024
Certified PEFTSmoothing: Parameter-Efficient Fine-Tuning with Randomized Smoothing Chengyan Fu Wenjie Wang AAML 27 0 0 08 Apr 2024
Verification of Neural Networks' Global Robustness Anan Kabaha Dana Drachsler-Cohen AAML OOD 35 5 0 29 Feb 2024
Verifiable Boosted Tree Ensembles Stefano Calzavara Lorenzo Cazzaro Claudio Lucchese Giulio Ermanno Pibiri AAML 44 0 0 22 Feb 2024
Quantifying and Enhancing Multi-modal Robustness with Modality Preference Zequn Yang Yake Wei Ce Liang Di Hu AAML 29 9 0 09 Feb 2024
MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers Yatong Bai Mo Zhou Vishal M. Patel Somayeh Sojoudi AAML 21 6 0 03 Feb 2024
Exploring Transferability for Randomized Smoothing Kai Qiu Huishuai Zhang Zhirong Wu Stephen Lin AAML 24 1 0 14 Dec 2023
Multi-scale Diffusion Denoised Smoothing Jongheon Jeong Jinwoo Shin DiffM 21 8 0 25 Oct 2023
Promoting Robustness of Randomized Smoothing: Two Cost-Effective Approaches Linbo Liu T. Hoang Lam M. Nguyen Tsui-Wei Weng AAML 24 0 0 11 Oct 2023
A Recipe for Improved Certifiable Robustness Kai Hu Klas Leino Zifan Wang Matt Fredrikson AAML 28 7 0 04 Oct 2023
It's Simplex! Disaggregating Measures to Improve Certified Robustness Andrew C. Cullen Paul Montague Shijie Liu S. Erfani Benjamin I. P. Rubinstein 23 1 0 20 Sep 2023
Automating global landslide detection with heterogeneous ensemble deep-learning classification Alexandra Jarna Ganerød Gabriele Franch Erin Lindsay Martina Calovi 23 3 0 12 Sep 2023
DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local Smoothing Jiawei Zhang Zhongzhu Chen Huan Zhang Chaowei Xiao Bo-wen Li DiffM 36 21 0 28 Aug 2023
Consistent Explanations in the Face of Model Indeterminacy via Ensembling Dan Ley Leonard Tang Matthew Nazari Hongjin Lin Suraj Srinivas Himabindu Lakkaraju 24 2 0 09 Jun 2023
Verifiable Learning for Robust Tree Ensembles Stefano Calzavara Lorenzo Cazzaro Giulio Ermanno Pibiri N. Prezza AAML 23 2 0 05 May 2023
Certifying Ensembles: A General Certification Theory with S-Lipschitzness Aleksandar Petrov Francisco Eiras Amartya Sanyal Philip H. S. Torr Adel Bibi UQCV 32 1 0 25 Apr 2023
Data Models for Dataset Drift Controls in Machine Learning With Optical Images Luis Oala Marco Aversa Gabriel Nobis Kurt Willis Yoan Neuenschwander ... E. Pomarico Wojciech Samek Roderick Murray-Smith Christoph Clausen B. Sanguinetti 28 5 0 04 Nov 2022
$LOT: Layer-wise Orthogonal Training on Improving $\ell_2$ Certified Robustness$ LOT: Layer-wise Orthogonal Training on Improving $\ell_2$ Certified Robustness Xiaojun Xu Linyi Li Bo-wen Li OOD AAML 33 33 0 20 Oct 2022
CARE: Certifiably Robust Learning with Reasoning via Variational Inference Jiawei Zhang Linyi Li Ce Zhang Bo-wen Li AAML OOD 40 8 0 12 Sep 2022
(Certified!!) Adversarial Robustness for Free! Nicholas Carlini Florian Tramèr Krishnamurthy Dvijotham Leslie Rice Mingjie Sun J. Zico Kolter DiffM 41 145 0 21 Jun 2022
Double Sampling Randomized Smoothing Linyi Li Jiawei Zhang Tao Xie Bo-wen Li AAML 17 23 0 16 Jun 2022
Building Robust Ensembles via Margin Boosting Dinghuai Zhang Hongyang R. Zhang Aaron Courville Yoshua Bengio Pradeep Ravikumar A. Suggala AAML UQCV 45 15 0 07 Jun 2022
On the Perils of Cascading Robust Classifiers Ravi Mangal Zifan Wang Chi Zhang Klas Leino C. Păsăreanu Matt Fredrikson AAML 26 0 0 01 Jun 2022
(De-)Randomized Smoothing for Decision Stump Ensembles Miklós Z. Horváth Mark Niklas Muller Marc Fischer Martin Vechev 30 3 0 27 May 2022
Smooth-Reduce: Leveraging Patches for Improved Certified Robustness Ameya Joshi Minh Pham Minsu Cho Leonid Boytsov Filipe Condessa J. Zico Kolter C. Hegde UQCV AAML 23 2 0 12 May 2022
How Sampling Impacts the Robustness of Stochastic Neural Networks Sina Daubener Asja Fischer SILM AAML 20 1 0 22 Apr 2022
Boosting the Certified Robustness of L-infinity Distance Nets Bohang Zhang Du Jiang Di He Liwei Wang OOD 27 29 0 13 Oct 2021
Accuracy-Privacy Trade-off in Deep Ensemble: A Membership Inference Perspective Shahbaz Rezaei Zubair Shafiq Xin Liu FedML MIACV 32 13 0 12 May 2021
SoK: Certified Robustness for Deep Neural Networks Linyi Li Tao Xie Bo-wen Li AAML 25 128 0 09 Sep 2020
Improving Certified Robustness via Statistical Learning with Logical Reasoning Zhuolin Yang Zhikuan Zhao Boxin Wang Jiawei Zhang Linyi Li ... Bojan Karlas Ji Liu Heng Guo Ce Zhang Bo-wen Li AAML 16 13 0 28 Feb 2020