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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
Adversarial training with informed data selection Marcele O. K. Mendonça Javier Maroto P. Frossard P. Diniz AAML 55 4 0 07 Jan 2023
Stealthy Backdoor Attack for Code Models Zhou Yang Bowen Xu Jie M. Zhang Hong Jin Kang Jieke Shi Junda He David Lo AAML 60 68 0 06 Jan 2023
OPD@NL4Opt: An ensemble approach for the NER task of the optimization problem Kangxu Wang Ze Chen Jiewen Zheng 64 6 0 06 Jan 2023
gRoMA: a Tool for Measuring the Global Robustness of Deep Neural Networks Natan Levy Raz Yerushalmi Guy Katz AAML 59 1 0 05 Jan 2023
A first-order augmented Lagrangian method for constrained minimax optimization Zhaosong Lu Sanyou Mei 119 6 0 05 Jan 2023
Enhancement attacks in biomedical machine learning M. Rosenblatt J. Dadashkarimi D. Scheinost AAML 53 4 0 05 Jan 2023
Availability Adversarial Attack and Countermeasures for Deep Learning-based Load Forecasting Wangkun Xu Fei Teng AAML 54 4 0 04 Jan 2023
GUAP: Graph Universal Attack Through Adversarial Patching Xiao Zang Jie Chen Bo Yuan AAML 71 4 0 04 Jan 2023
Beckman Defense A. V. Subramanyam OOD AAML 81 0 0 04 Jan 2023
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 102 2 0 03 Jan 2023
Backdoor Attacks Against Dataset Distillation Yugeng Liu Zheng Li Michael Backes Yun Shen Yang Zhang DD 120 30 0 03 Jan 2023
Efficient Robustness Assessment via Adversarial Spatial-Temporal Focus on Videos Xingxing Wei Songping Wang Huanqian Yan AAML 107 20 0 03 Jan 2023
Generalizable Black-Box Adversarial Attack with Meta Learning Fei Yin Yong Zhang Baoyuan Wu Yan Feng Jingyi Zhang Yanbo Fan Yujiu Yang AAML 104 28 0 01 Jan 2023
ExploreADV: Towards exploratory attack for Neural Networks Tianzuo Luo Yuyi Zhong S. Khoo AAML 70 1 0 01 Jan 2023
Mutual Information Regularization for Vertical Federated Learning Tianyuan Zou Yang Liu Ya-Qin Zhang AAML FedML 68 6 0 01 Jan 2023
Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples Jiaming Zhang Xingjun Ma Qiaomin Yi Jitao Sang Yugang Jiang Yaowei Wang Changsheng Xu 108 26 0 31 Dec 2022
Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence Han Fang Jiyi Zhang Yupeng Qiu Ke Xu Chengfang Fang E. Chang AAML 100 2 0 31 Dec 2022
Guidance Through Surrogate: Towards a Generic Diagnostic Attack Muzammal Naseer Salman Khan Fatih Porikli Fahad Shahbaz Khan AAML 56 1 0 30 Dec 2022
TA-DA: Topic-Aware Domain Adaptation for Scientific Keyphrase Identification and Classification (Student Abstract) Razvan-Alexandru Smadu George-Eduard Zaharia Andrei-Marius Avram Dumitru-Clementin Cercel M. Dascalu Florin-Catalin Pop BDL 54 1 0 30 Dec 2022
Adversarial attacks and defenses on ML- and hardware-based IoT device fingerprinting and identification Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Gérome Bovet Gregorio Martínez Pérez AAML 89 18 0 30 Dec 2022
Defense Against Adversarial Attacks on Audio DeepFake Detection Piotr Kawa Marcin Plata P. Syga AAML 95 9 0 30 Dec 2022
Learning Multimodal Data Augmentation in Feature Space Zichang Liu Zhiqiang Tang Xingjian Shi Aston Zhang Mu Li Anshumali Shrivastava A. Wilson 98 23 0 29 Dec 2022
Effects of Data Geometry in Early Deep Learning Saket Tiwari George Konidaris 150 7 0 29 Dec 2022
Detection of out-of-distribution samples using binary neuron activation patterns Bartlomiej Olber Krystian Radlak A. Popowicz Michal Szczepankiewicz K. Chachula OODD 58 17 0 29 Dec 2022
Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification Yuxuan Du Yibo Yang Dacheng Tao Min-hsiu Hsieh 115 23 0 29 Dec 2022
A Segmentation Method for fluorescence images without a machine learning approach G. Giacopelli M. Migliore D. Tegolo 63 0 0 28 Dec 2022
Differentiable Search of Accurate and Robust Architectures Yuwei Ou Xiangning Xie Shan Gao Yanan Sun Kay Chen Tan Jiancheng Lv OOD AAML 71 2 0 28 Dec 2022
Publishing Efficient On-device Models Increases Adversarial Vulnerability Sanghyun Hong Nicholas Carlini Alexey Kurakin AAML 75 3 0 28 Dec 2022
Learning When to Use Adaptive Adversarial Image Perturbations against Autonomous Vehicles Hyung-Jin Yoon H. Jafarnejadsani P. Voulgaris AAML 58 6 0 28 Dec 2022
EDoG: Adversarial Edge Detection For Graph Neural Networks Xiaojun Xu Yue Yu Hanzhang Wang Alok Lal C.A. Gunter Bo Li AAML 142 11 0 27 Dec 2022
Sparse Mixture Once-for-all Adversarial Training for Efficient In-Situ Trade-Off Between Accuracy and Robustness of DNNs Souvik Kundu Sairam Sundaresan S. N. Sridhar Shunlin Lu Han Tang Peter A. Beerel AAML MoE 110 4 0 27 Dec 2022
Frequency Regularization for Improving Adversarial Robustness Binxiao Huang Chaofan Tao R. Lin Ngai Wong AAML 37 4 0 24 Dec 2022
Out-of-Distribution Detection with Reconstruction Error and Typicality-based Penalty Genki Osada Tsubasa Takahashi Budrul Ahsan Takashi Nishide OODD 98 14 0 24 Dec 2022
Aliasing is a Driver of Adversarial Attacks Adrian Rodriguez-Munoz Antonio Torralba AAML 64 0 0 22 Dec 2022
Adaptive and Dynamic Multi-Resolution Hashing for Pairwise Summations Lianke Qin Aravind Reddy Zhao Song Zhaozhuo Xu Danyang Zhuo 70 13 0 21 Dec 2022
A Theoretical Study of The Effects of Adversarial Attacks on Sparse Regression Deepak Maurya Jean Honorio AAML 74 0 0 21 Dec 2022
Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective Shihua Huang Zhichao Lu Kalyanmoy Deb Vishnu Boddeti OOD 102 45 0 21 Dec 2022
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 117 31 0 21 Dec 2022
TMS-Net: A Segmentation Network Coupled With A Run-time Quality Control Method For Robust Cardiac Image Segmentation F. Uslu Anil A. Bharath 72 15 0 21 Dec 2022
Unleashing the Power of Visual Prompting At the Pixel Level Junyang Wu Xianhang Li Chen Wei Huiyu Wang Alan Yuille Yuyin Zhou Cihang Xie VPVLM VLM 97 32 0 20 Dec 2022
Walking Noise: On Layer-Specific Robustness of Neural Architectures against Noisy Computations and Associated Characteristic Learning Dynamics Hendrik Borras Bernhard Klein Holger Fröning AAML 64 1 0 20 Dec 2022
In and Out-of-Domain Text Adversarial Robustness via Label Smoothing Yahan Yang Soham Dan Dan Roth Insup Lee 76 5 0 20 Dec 2022
A Comprehensive Study of the Robustness for LiDAR-based 3D Object Detectors against Adversarial Attacks Yifan Zhang Junhui Hou Yixuan Yuan AAML 3DPC 69 34 0 20 Dec 2022
Multi-head Uncertainty Inference for Adversarial Attack Detection Yuqi Yang Songyun Yang Jiyang Xie. Zhongwei Si Kai Guo Kecheng Zhang Kongming Liang AAML 29 2 0 20 Dec 2022
Distributional Robustness Bounds Generalization Errors Shixiong Wang Haowei Wang OOD 90 4 0 20 Dec 2022
Learned-Database Systems Security R. Schuster Jinyi Zhou Thorsten Eisenhofer Paul Grubbs Nicolas Papernot AAML 146 2 0 20 Dec 2022
Positive-incentive Noise Xuelong Li 64 40 0 19 Dec 2022
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends Yonghao Xu Tao Bai Weikang Yu Shizhen Chang P. M. Atkinson Pedram Ghamisi AAML 102 47 0 19 Dec 2022
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization Bairu Hou Jinghan Jia Yihua Zhang Guanhua Zhang Yang Zhang Sijia Liu Shiyu Chang SILM AAML 66 24 0 19 Dec 2022
Discrete Point-wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition Qian Li Yuxiao Hu Ye Liu Dong-juan Zhang Xin Jin Yuntian Chen AAML 86 11 0 19 Dec 2022