Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation

23 May 2017

Matthias Hein

Papers citing "Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation"

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Title
RDI: An adversarial robustness evaluation metric for deep neural networks based on sample clustering features Jialei Song Xingquan Zuo Feiyang Wang Hai Huang Tianle Zhang AAML 85 0 0 16 Apr 2025
CeTAD: Towards Certified Toxicity-Aware Distance in Vision Language Models Xiangyu Yin Jiaxu Liu Zhen Chen Jinwei Hu Yi Dong Xiaowei Huang Wenjie Ruan AAML 50 0 0 08 Mar 2025
New Perspectives on Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization Soroosh Shafieezadeh-Abadeh Liviu Aolaritei Florian Dorfler Daniel Kuhn 60 20 0 31 Dec 2024
SPLITZ: Certifiable Robustness via Split Lipschitz Randomized Smoothing Meiyu Zhong Ravi Tandon 44 3 0 03 Jul 2024
Spectral regularization for adversarially-robust representation learning Sheng Yang Jacob A. Zavatone-Veth C. Pehlevan AAML OOD 49 0 0 27 May 2024
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective Nils Philipp Walter Linara Adilova Jilles Vreeken Michael Kamp AAML 48 2 0 27 May 2024
$H$ -Consistency Guarantees for Regression Anqi Mao M. Mohri Yutao Zhong 33 9 0 28 Mar 2024
A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense Ryota Iijima Sayaka Shiota Hitoshi Kiya 36 6 0 11 Feb 2024
How Smooth Is Attention? Valérie Castin Pierre Ablin Gabriel Peyré AAML 40 9 0 22 Dec 2023
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off Yatong Bai Brendon G. Anderson Somayeh Sojoudi AAML 27 2 0 26 Nov 2023
LipSim: A Provably Robust Perceptual Similarity Metric Sara Ghazanfari Alexandre Araujo Prashanth Krishnamurthy Farshad Khorrami Siddharth Garg 43 5 0 27 Oct 2023
Certified Robust Models with Slack Control and Large Lipschitz Constants M. Losch David Stutz Bernt Schiele Mario Fritz 14 4 0 12 Sep 2023
Robust Ranking Explanations Chao Chen Chenghua Guo Guixiang Ma Ming Zeng Xi Zhang Sihong Xie FAtt AAML 35 0 0 08 Jul 2023
Robust low-rank training via approximate orthonormal constraints Dayana Savostianova Emanuele Zangrando Gianluca Ceruti Francesco Tudisco 24 9 0 02 Jun 2023
Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness Wei Wei Jiahuan Zhou Yingying Wu AAML 15 0 0 29 Mar 2023
Randomized Adversarial Training via Taylor Expansion Gao Jin Xinping Yi Dengyu Wu Ronghui Mu Xiaowei Huang AAML 44 34 0 19 Mar 2023
A Unified Algebraic Perspective on Lipschitz Neural Networks Alexandre Araujo Aaron J. Havens Blaise Delattre A. Allauzen Bin Hu AAML 33 52 0 06 Mar 2023
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing Yatong Bai Brendon G. Anderson Aerin Kim Somayeh Sojoudi AAML 33 18 0 29 Jan 2023
PCV: A Point Cloud-Based Network Verifier A. Sarker Farzana Yasmin Ahmad Matthew B. Dwyer AAML 3DPC 30 1 0 27 Jan 2023
Certified Invertibility in Neural Networks via Mixed-Integer Programming Tianqi Cui Tom S. Bertalan George J. Pappas M. Morari Ioannis G. Kevrekidis Mahyar Fazlyab AAML 24 2 0 27 Jan 2023
Neural networks learn to magnify areas near decision boundaries Jacob A. Zavatone-Veth Sheng Yang Julian Rubinfien C. Pehlevan MLT AI4CE 25 6 0 26 Jan 2023
AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs Helene Orsini Hongyan Bao Yujun Zhou Xiangrui Xu Yufei Han Longyang Yi Wei Wang Xin Gao Xiangliang Zhang AAML 23 1 0 13 Dec 2022
Accelerating Certified Robustness Training via Knowledge Transfer Pratik Vaishnavi Kevin Eykholt Amir Rahmati 21 7 0 25 Oct 2022
Robust Empirical Risk Minimization with Tolerance Robi Bhattacharjee Max Hopkins Akash Kumar Hantao Yu Kamalika Chaudhuri OOD 33 8 0 02 Oct 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo-wen Li Ding Zhao 74 45 0 16 Sep 2022
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization) Zhenyu Zhu Fanghui Liu Grigorios G. Chrysos V. Cevher 39 19 0 15 Sep 2022
Two Heads are Better than One: Robust Learning Meets Multi-branch Models Dong Huang Qi Bu Yuhao Qing Haowen Pi Sen Wang Heming Cui OOD AAML 30 0 0 17 Aug 2022
Decorrelative Network Architecture for Robust Electrocardiogram Classification Christopher Wiedeman Ge Wang OOD 13 2 0 19 Jul 2022
Provably Adversarially Robust Nearest Prototype Classifiers Václav Voráček Matthias Hein AAML 20 11 0 14 Jul 2022
Efficiently Training Low-Curvature Neural Networks Suraj Srinivas Kyle Matoba Himabindu Lakkaraju F. Fleuret AAML 23 15 0 14 Jun 2022
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks Kiarash Mohammadi Aishwarya Sivaraman G. Farnadi 25 5 0 01 Jun 2022
An Analytic Framework for Robust Training of Artificial Neural Networks R. Barati Reza Safabakhsh Mohammad Rahmati AAML 19 0 0 26 May 2022
Software Testing for Machine Learning D. Marijan A. Gotlieb AAML 22 27 0 30 Apr 2022
A Quantitative Geometric Approach to Neural-Network Smoothness Zehao Wang Gautam Prakriya S. Jha 37 13 0 02 Mar 2022
A Domain-Theoretic Framework for Robustness Analysis of Neural Networks Can Zhou R. A. Shaikh Yiran Li Amin Farjudian OOD 35 4 0 01 Mar 2022
Adversarial robustness of sparse local Lipschitz predictors Ramchandran Muthukumar Jeremias Sulam AAML 32 13 0 26 Feb 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training Tianlong Chen Zhenyu (Allen) Zhang Pengju Wang Santosh Balachandra Haoyu Ma Zehao Wang Zhangyang Wang OOD AAML 85 46 0 20 Feb 2022
On the Convergence and Robustness of Adversarial Training Yisen Wang Xingjun Ma James Bailey Jinfeng Yi Bowen Zhou Quanquan Gu AAML 194 345 0 15 Dec 2021
Robust and Information-theoretically Safe Bias Classifier against Adversarial Attacks Lijia Yu Xiao-Shan Gao AAML 21 5 0 08 Nov 2021
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds Yujia Huang Huan Zhang Yuanyuan Shi J Zico Kolter Anima Anandkumar 29 76 0 02 Nov 2021
AugMax: Adversarial Composition of Random Augmentations for Robust Training Haotao Wang Chaowei Xiao Jean Kossaifi Zhiding Yu Anima Anandkumar Zhangyang Wang 27 106 0 26 Oct 2021
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 119 355 0 04 Oct 2021
Simple Post-Training Robustness Using Test Time Augmentations and Random Forest Gilad Cohen Raja Giryes AAML 35 4 0 16 Sep 2021
On the regularized risk of distributionally robust learning over deep neural networks Camilo A. Garcia Trillos Nicolas García Trillos OOD 45 10 0 13 Sep 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Saeed Mian Navid Kardan M. Shah AAML 26 235 0 01 Aug 2021
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review Florian Tambon Gabriel Laberge Le An Amin Nikanjam Paulina Stevia Nouwou Mindom Y. Pequignot Foutse Khomh G. Antoniol E. Merlo François Laviolette 30 66 0 26 Jul 2021
Provable Lipschitz Certification for Generative Models Matt Jordan A. Dimakis 22 14 0 06 Jul 2021
Attack Transferability Characterization for Adversarially Robust Multi-label Classification Zhuo Yang Yufei Han Xiangliang Zhang AAML 23 4 0 29 Jun 2021
Partial success in closing the gap between human and machine vision Robert Geirhos Kantharaju Narayanappa Benjamin Mitzkus Tizian Thieringer Matthias Bethge Felix Wichmann Wieland Brendel VLM AAML 48 221 0 14 Jun 2021
Sparta: Spatially Attentive and Adversarially Robust Activation Qing-Wu Guo Felix Juefei Xu Changqing Zhou Wei Feng Yang Liu Song Wang AAML 33 4 0 18 May 2021