Wasserstein Adversarial Examples via Projected Sinkhorn Iterations

21 February 2019

J. Zico Kolter

Papers citing "Wasserstein Adversarial Examples via Projected Sinkhorn Iterations"

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Title
Fractional Correspondence Framework in Detection Transformer Masoumeh Zareapoor Pourya Shamsolmoali Huiyu Zhou Yue Lu Salvador García 55 0 0 06 Mar 2025
Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization Shuang Liu Yihan Wang Yifan Zhu Yibo Miao Xiao-Shan Gao 66 0 0 06 Mar 2025
How to beat a Bayesian adversary Zihan Ding Kexin Jin J. Latz Chenguang Liu AAML BDL 46 0 0 11 Jul 2024
BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial Attack Viet Vo Ehsan Abbasnejad Damith C. Ranasinghe AAML 41 5 0 08 Apr 2024
Towards Adversarially Robust Dataset Distillation by Curvature Regularization Eric Xue Yijiang Li Haoyang Liu Yifan Shen Haohan Wang Haohan Wang DD 61 8 0 15 Mar 2024
Sparse and Transferable Universal Singular Vectors Attack Kseniia Kuvshinova Olga Tsymboi Ivan Oseledets AAML 38 0 0 25 Jan 2024
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks Meixi Zheng Xuanchen Yan Zihao Zhu Hongrui Chen Baoyuan Wu ELM MLAU AAML 34 8 0 28 Dec 2023
ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural Networks Peng Zhao Jiehua Zhang Bowen Peng Longguang Wang Yingmei Wei Yu Liu Li Liu AAML 32 0 0 21 Dec 2023
Structured Transforms Across Spaces with Cost-Regularized Optimal Transport Othmane Sebbouh Marco Cuturi Gabriel Peyré OT 33 4 0 09 Nov 2023
Exploring Geometry of Blind Spots in Vision Models S. Balasubramanian Gaurang Sriramanan Vinu Sankar Sadasivan S. Feizi AAML 33 2 0 30 Oct 2023
Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally Shawqi Al-Maliki Adnan Qayyum Hassan Ali M. Abdallah Junaid Qadir D. Hoang Dusit Niyato Ala I. Al-Fuqaha AAML 34 3 0 05 Oct 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks Yanjie Li Bin Xie Songtao Guo Yuanyuan Yang Bin Xiao AAML 40 16 0 01 Oct 2023
Adversarial attacks on hybrid classical-quantum Deep Learning models for Histopathological Cancer Detection Biswaraj Baral Reek Majumdar Bhavika Bhalgamiya Taposh Dutta Roy MedIm AAML 12 1 0 08 Sep 2023
Benchmarking Adversarial Robustness of Compressed Deep Learning Models Brijesh Vora Kartik Patwari Syed Mahbub Hafiz Zubair Shafiq Chen-Nee Chuah AAML 27 2 0 16 Aug 2023
A reading survey on adversarial machine learning: Adversarial attacks and their understanding Shashank Kotyan AAML 25 5 0 07 Aug 2023
Federated Distributionally Robust Optimization with Non-Convex Objectives: Algorithm and Analysis Yang Jiao Kai Yang Dongjin Song 31 1 0 25 Jul 2023
Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models Francesco Croce Naman D. Singh Matthias Hein VLM 42 7 0 22 Jun 2023
Graph-based methods coupled with specific distributional distances for adversarial attack detection dwight nwaigwe Lucrezia Carboni Martial Mermillod Sophie Achard M. Dojat AAML 32 3 0 31 May 2023
Attacking Perceptual Similarity Metrics Abhijay Ghildyal Feng Liu AAML 28 8 0 15 May 2023
Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey Abdelwahed Khamis Russell Tsuchida Mohamed Tarek V. Rolland Lars Petersson OT 45 13 0 08 May 2023
Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable Confidence Hanbin Hong Xinyu Zhang Binghui Wang Zhongjie Ba Yuan Hong AAML 30 2 0 10 Apr 2023
Optimization and Optimizers for Adversarial Robustness Hengyue Liang Buyun Liang Le Peng Ying Cui Tim Mitchell Ju Sun AAML 28 5 0 23 Mar 2023
Wasserstein Adversarial Examples on Univariant Time Series Data Wenjie Wang Li Xiong Jian Lou AAML 33 0 0 22 Mar 2023
Sinkhorn-Flow: Predicting Probability Mass Flow in Dynamical Systems Using Optimal Transport Mukul Bhutani J. Zico Kolter OT AI4TS 20 0 0 14 Mar 2023
Certified Robust Neural Networks: Generalization and Corruption Resistance Amine Bennouna Ryan Lucas Bart P. G. Van Parys 38 10 0 03 Mar 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective Baoyuan Wu Zihao Zhu Li Liu Qingshan Liu Zhaofeng He Siwei Lyu AAML 44 21 0 19 Feb 2023
Black Box Adversarial Prompting for Foundation Models Natalie Maus Patrick Chao Eric Wong Jacob R. Gardner VLM 30 56 0 08 Feb 2023
Beckman Defense A. V. Subramanyam OOD AAML 42 0 0 04 Jan 2023
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 47 2 0 03 Jan 2023
$Multiple Perturbation Attack: Attack Pixelwise Under Different $\ell_p$-norms For Better Adversarial Performance$ Multiple Perturbation Attack: Attack Pixelwise Under Different $\ell_p$ -norms For Better Adversarial Performance Ngoc N. Tran Anh Tuan Bui Dinh Q. Phung Trung Le AAML 29 1 0 05 Dec 2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks Zhengyu Zhao Hanwei Zhang Renjue Li R. Sicre Laurent Amsaleg Michael Backes AAML 27 20 0 17 Nov 2022
Partial Identification of Treatment Effects with Implicit Generative Models Vahid Balazadeh Meresht Vasilis Syrgkanis Rahul G. Krishnan CML 31 19 0 14 Oct 2022
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints Yinpeng Dong Shouwei Ruan Hang Su Cai Kang Xingxing Wei Junyi Zhu AAML 32 49 0 08 Oct 2022
NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning Buyun Liang Tim Mitchell Ju Sun OOD 18 7 0 03 Oct 2022
$Optimization for Robustness Evaluation beyond $\ell_p$ Metrics$ Optimization for Robustness Evaluation beyond $\ell_p$ Metrics Hengyue Liang Buyun Liang Ying Cui Tim Mitchell Ju Sun AAML 21 3 0 02 Oct 2022
Scattering Model Guided Adversarial Examples for SAR Target Recognition: Attack and Defense Bo Peng Bo Peng Jie Zhou Jianyue Xie Li Liu AAML 40 43 0 11 Sep 2022
Adversarial Detection: Attacking Object Detection in Real Time Han-Ching Wu Syed Yunas Sareh Rowlands Wenjie Ruan Johan Wahlstrom AAML 33 4 0 05 Sep 2022
Adversarial Robustness for Tabular Data through Cost and Utility Awareness Klim Kireev B. Kulynych Carmela Troncoso AAML 26 16 0 27 Aug 2022
Limit Theorems for Entropic Optimal Transport Maps and the Sinkhorn Divergence Ziv Goldfeld Kengo Kato Gabriel Rioux Ritwik Sadhu 47 27 0 18 Jul 2022
Sound Randomized Smoothing in Floating-Point Arithmetics Václav Voráček Matthias Hein 35 4 0 14 Jul 2022
UniCR: Universally Approximated Certified Robustness via Randomized Smoothing Hanbin Hong Binghui Wang Yuan Hong AAML 41 10 0 05 Jul 2022
Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification Natalie Frank Jonathan Niles-Weed AAML 27 14 0 18 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 18 21 0 09 Jun 2022
Connecting adversarial attacks and optimal transport for domain adaptation Arip Asadulaev V. Shutov Alexander Korotin Alexander Panfilov Andrey Filchenkov OOD OT 23 0 0 30 May 2022
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks Siddhartha Datta AAML 34 4 0 15 May 2022
RoMFAC: A robust mean-field actor-critic reinforcement learning against adversarial perturbations on states Ziyuan Zhou Guanjun Liu AAML 35 24 0 15 May 2022
Statistical inference with regularized optimal transport Ziv Goldfeld Kengo Kato Gabriel Rioux Ritwik Sadhu OT 44 34 0 09 May 2022
Reverse Engineering of Imperceptible Adversarial Image Perturbations Yifan Gong Yuguang Yao Yize Li Yimeng Zhang Xiaoming Liu X. Lin Sijia Liu AAML 47 20 0 26 Mar 2022
A Domain-Theoretic Framework for Robustness Analysis of Neural Networks Can Zhou R. A. Shaikh Yiran Li Amin Farjudian OOD 38 4 0 01 Mar 2022
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations Lei Hsiung Yun-Yun Tsai Pin-Yu Chen Tsung-Yi Ho AAML 19 30 0 09 Feb 2022