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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations Haoran Xu Xianyuan Zhan Honglei Yin Huiling Qin OffRL 100 70 0 20 Jul 2022
Measuring and signing fairness as performance under multiple stakeholder distributions David Lopez-Paz Diane Bouchacourt Levent Sagun Nicolas Usunier 72 7 0 20 Jul 2022
Probable Domain Generalization via Quantile Risk Minimization Cian Eastwood Alexander Robey Shashank Singh Julius von Kügelgen Hamed Hassani George J. Pappas Bernhard Schölkopf OOD 121 67 0 20 Jul 2022
On the Versatile Uses of Partial Distance Correlation in Deep Learning Xingjian Zhen Zihang Meng Rudrasis Chakraborty Vikas Singh OODD 95 29 0 20 Jul 2022
Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms Linbo Liu Youngsuk Park T. Hoang Hilaf Hasson Jun Huan AAML 95 8 0 19 Jul 2022
Bounding generalization error with input compression: An empirical study with infinite-width networks A. Galloway A. Golubeva Mahmoud Salem Mihai Nica Yani Andrew Ioannou Graham W. Taylor MLT AI4CE 71 4 0 19 Jul 2022
Decorrelative Network Architecture for Robust Electrocardiogram Classification Christopher Wiedeman Ge Wang OOD 77 2 0 19 Jul 2022
Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders Zhenrui Yue Huimin Zeng Ziyi Kou Lanyu Shang Dong Wang AAML 48 26 0 19 Jul 2022
$Multi-step domain adaptation by adversarial attack to $\mathcal{H} Δ\mathcal{H}$-divergence$ Multi-step domain adaptation by adversarial attack to $\mathcal{H} Δ\mathcal{H}$ -divergence Arip Asadulaev Alexander Panfilov Andrey Filchenkov AAML 26 0 0 18 Jul 2022
Robustar: Interactive Toolbox Supporting Precise Data Annotation for Robust Vision Learning Chonghan Chen Haohan Wang Leyang Hu Yuhao Zhang Shuguang Lyu Jingcheng Wu Xinnuo Li Linjing Sun Eric Xing VLM 63 0 0 18 Jul 2022
Prior-Guided Adversarial Initialization for Fast Adversarial Training Xiaojun Jia Yong Zhang Xingxing Wei Baoyuan Wu Ke Ma Jue Wang Xiaochun Cao AAML 63 40 0 18 Jul 2022
Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations H. Malik Shahina Kunhimon Muzammal Naseer Salman Khan Fahad Shahbaz Khan AAML 59 8 0 18 Jul 2022
Rank-based Decomposable Losses in Machine Learning: A Survey Shu Hu Xin Wang Siwei Lyu 100 32 0 18 Jul 2022
Adversarial Contrastive Learning via Asymmetric InfoNCE Qiying Yu Jieming Lou Xianyuan Zhan Qizhang Li W. Zuo Yang Liu Jingjing Liu AAML 74 23 0 18 Jul 2022
A Simple Test-Time Method for Out-of-Distribution Detection Ke Fan Yikai Wang Qian Yu Da Li Yanwei Fu OODD 80 8 0 17 Jul 2022
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal Xinwei Liu Jian Liu Yang Bai Jindong Gu Tao Chen Xiaojun Jia Xiaochun Cao AAML WIGM 73 28 0 17 Jul 2022
Threat Model-Agnostic Adversarial Defense using Diffusion Models Tsachi Blau Roy Ganz Bahjat Kawar Alex M. Bronstein Michael Elad AAML DiffM 98 27 0 17 Jul 2022
DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking Xiangyu Yin Wenjie Ruan J. Fieldsend AAML 74 29 0 17 Jul 2022
MixTailor: Mixed Gradient Aggregation for Robust Learning Against Tailored Attacks Ali Ramezani-Kebrya Iman Tabrizian Fartash Faghri P. Popovski AAML FedML 62 6 0 16 Jul 2022
Masked Spatial-Spectral Autoencoders Are Excellent Hyperspectral Defenders Jiahao Qi Z. Gong Xingyue Liu Kangcheng Bin Chen Chen Yongqiang Li Wei Xue Yu Zhang P. Zhong AAML 81 6 0 16 Jul 2022
CARBEN: Composite Adversarial Robustness Benchmark Lei Hsiung Yun-Yun Tsai Pin-Yu Chen Tsung-Yi Ho AAML 52 9 0 16 Jul 2022
Towards the Desirable Decision Boundary by Moderate-Margin Adversarial Training Xiaoyu Liang Yaguan Qian Jianchang Huang Xiang Ling Bin Wang Chunming Wu Wassim Swaileh AAML 45 4 0 16 Jul 2022
Anomalous behaviour in loss-gradient based interpretability methods Vinod Subramanian Francesco Ferroni Emmanouil Benetos Mark Sandler 28 0 0 15 Jul 2022
3DVerifier: Efficient Robustness Verification for 3D Point Cloud Models Ronghui Mu Wenjie Ruan Leandro Soriano Marcolino Q. Ni 3DPC 93 10 0 15 Jul 2022
Lipschitz Bound Analysis of Neural Networks S. Bose AAML 59 0 0 14 Jul 2022
Sound Randomized Smoothing in Floating-Point Arithmetics Václav Voráček Matthias Hein 82 4 0 14 Jul 2022
Provably Adversarially Robust Nearest Prototype Classifiers Václav Voráček Matthias Hein AAML 43 11 0 14 Jul 2022
Adversarial Attacks on Monocular Pose Estimation Hemang Chawla Arnav Varma Elahe Arani Bahram Zonooz AAML MDE 49 10 0 14 Jul 2022
Distance Learner: Incorporating Manifold Prior to Model Training Aditya Chetan Nipun Kwatra 31 1 0 14 Jul 2022
Work In Progress: Safety and Robustness Verification of Autoencoder-Based Regression Models using the NNV Tool Neelanjana Pal Taylor T. Johnson 35 1 0 14 Jul 2022
Universal Adaptive Data Augmentation Xiaogang Xu Hengshuang Zhao 21 6 0 14 Jul 2022
Reachability Analysis of a General Class of Neural Ordinary Differential Equations Diego Manzanas Lopez Patrick Musau Nathaniel P. Hamilton Taylor T. Johnson 51 15 0 13 Jul 2022
Adversarially-Aware Robust Object Detector Ziyi Dong Pengxu Wei Liang Lin AAML ObjD 96 30 0 13 Jul 2022
On the Robustness of Bayesian Neural Networks to Adversarial Attacks Luca Bortolussi Ginevra Carbone Luca Laurenti A. Patané G. Sanguinetti Matthew Wicker AAML 54 13 0 13 Jul 2022
Perturbation Inactivation Based Adversarial Defense for Face Recognition Min Ren Yuhao Zhu Yunlong Wang Zhenan Sun AAML 56 14 0 13 Jul 2022
Game of Trojans: A Submodular Byzantine Approach D. Sahabandu Arezoo Rajabi Luyao Niu Yangqiu Song Bhaskar Ramasubramanian Radha Poovendran AAML 64 0 0 13 Jul 2022
RelaxLoss: Defending Membership Inference Attacks without Losing Utility Dingfan Chen Ning Yu Mario Fritz 123 43 0 12 Jul 2022
Backdoor Attacks on Crowd Counting Yuhua Sun Tailai Zhang Xingjun Ma Pan Zhou Jian Lou Zichuan Xu Xing Di Yu Cheng Lichao AAML 79 15 0 12 Jul 2022
Exploring Adversarial Examples and Adversarial Robustness of Convolutional Neural Networks by Mutual Information Jiebao Zhang Wenhua Qian Ren-qi Nie Jinde Cao Dan Xu GAN AAML 63 0 0 12 Jul 2022
Adversarial Robustness Assessment of NeuroEvolution Approaches Inês Valentim Nuno Lourenço Nuno Antunes AAML 74 1 0 12 Jul 2022
Knowledge Condensation Distillation Chenxin Li Mingbao Lin Zhiyuan Ding Nie Lin Yihong Zhuang Yue Huang Xinghao Ding Liujuan Cao 88 28 0 12 Jul 2022
Frequency Domain Model Augmentation for Adversarial Attack Yuyang Long Qi-li Zhang Boheng Zeng Lianli Gao Xianglong Liu Jian Zhang Jingkuan Song AAML 105 167 0 12 Jul 2022
Certified Adversarial Robustness via Anisotropic Randomized Smoothing Hanbin Hong Yuan Hong AAML 79 5 0 12 Jul 2022
Bi-fidelity Evolutionary Multiobjective Search for Adversarially Robust Deep Neural Architectures Jia-Wei Liu Ran Cheng Yaochu Jin AAML 114 7 0 12 Jul 2022
Multitask Learning from Augmented Auxiliary Data for Improving Speech Emotion Recognition S. Latif R. Rana Sara Khalifa Raja Jurdak Björn W. Schuller 72 23 0 12 Jul 2022
Susceptibility of Continual Learning Against Adversarial Attacks Hikmat Khan Pir Masoom Shah Syed Farhan Alam Zaidi S. M. Fakhrul Islam Qasim Zia AAML 99 9 0 11 Jul 2022
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization Hao Sun B. V. Breugel Jonathan Crabbé Nabeel Seedat M. Schaar 87 4 0 11 Jul 2022
Towards Effective Multi-Label Recognition Attacks via Knowledge Graph Consistency Hassan Mahmood Ehsan Elhamifar AAML 39 0 0 11 Jul 2022
RUSH: Robust Contrastive Learning via Randomized Smoothing Yijiang Pang Boyang Liu Jiayu Zhou OOD AAML 61 1 0 11 Jul 2022
From Correlation to Causation: Formalizing Interpretable Machine Learning as a Statistical Process Lukas Klein Mennatallah El-Assady Paul F. Jäger CML 45 1 0 11 Jul 2022