Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

50 / 2,480 papers shown

Title
Characterizing and Taming Model Instability Across Edge Devices Eyal Cidon Evgenya Pergament Zain Asgar Asaf Cidon Sachin Katti 14 7 0 18 Oct 2020
HABERTOR: An Efficient and Effective Deep Hatespeech Detector T. Tran Yifan Hu Changwei Hu Kevin Yen Fei Tan Kyumin Lee Serim Park VLM 25 32 0 17 Oct 2020
Weight-Covariance Alignment for Adversarially Robust Neural Networks Panagiotis Eustratiadis Henry Gouk Da Li Timothy M. Hospedales OOD AAML 14 23 0 17 Oct 2020
Finding Physical Adversarial Examples for Autonomous Driving with Fast and Differentiable Image Compositing Jinghan Yang Adith Boloor Ayan Chakrabarti Xuan Zhang Yevgeniy Vorobeychik AAML 45 11 0 17 Oct 2020
Modeling Token-level Uncertainty to Learn Unknown Concepts in SLU via Calibrated Dirichlet Prior RNN Yilin Shen Wenhu Chen Hongxia Jin UQCV BDL 19 5 0 16 Oct 2020
Progressive Defense Against Adversarial Attacks for Deep Learning as a Service in Internet of Things Ling Wang Cheng Zhang Zejian Luo Chenguang Liu Jie Liu Xi Zheng A. Vasilakos AAML 17 3 0 15 Oct 2020
An Evasion Attack against Stacked Capsule Autoencoder Jiazhu Dai Siwei Xiong AAML 26 1 0 14 Oct 2020
Pair the Dots: Jointly Examining Training History and Test Stimuli for Model Interpretability Yuxian Meng Chun Fan Zijun Sun Eduard H. Hovy Fei Wu Jiwei Li FAtt 15 10 0 14 Oct 2020
Linking average- and worst-case perturbation robustness via class selectivity and dimensionality Matthew L. Leavitt Ari S. Morcos AAML 14 2 0 14 Oct 2020
Learning to Attack with Fewer Pixels: A Probabilistic Post-hoc Framework for Refining Arbitrary Dense Adversarial Attacks He Zhao Thanh-Tuan Nguyen Trung Le Paul Montague O. Vel Tamas Abraham Dinh Q. Phung AAML 21 2 0 13 Oct 2020
Noise in Classification Maria-Florina Balcan Nika Haghtalab 6 11 0 10 Oct 2020
Rare-Event Simulation for Neural Network and Random Forest Predictors Yuanlu Bai Zhiyuan Huang H. Lam Ding Zhao 24 23 0 10 Oct 2020
Understanding Local Robustness of Deep Neural Networks under Natural Variations Ziyuan Zhong Yuchi Tian Baishakhi Ray AAML 11 1 0 09 Oct 2020
Targeted Physical-World Attention Attack on Deep Learning Models in Road Sign Recognition Xinghao Yang Weifeng Liu Shengli Zhang Wei Liu Dacheng Tao AAML 27 28 0 09 Oct 2020
A Unified Approach to Interpreting and Boosting Adversarial Transferability Xin Wang Jie Ren Shuyu Lin Xiangming Zhu Yisen Wang Quanshi Zhang AAML 29 94 0 08 Oct 2020
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples Sven Gowal Chongli Qin J. Uesato Timothy A. Mann Pushmeet Kohli AAML 17 324 0 07 Oct 2020
Not All Datasets Are Born Equal: On Heterogeneous Data and Adversarial Examples Yael Mathov Eden Levy Ziv Katzir A. Shabtai Yuval Elovici AAML 23 14 0 07 Oct 2020
Adversarial Patch Attacks on Monocular Depth Estimation Networks Koichiro Yamanaka R. Matsumoto Keita Takahashi T. Fujii GAN AAML MDE 22 36 0 06 Oct 2020
BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models A. Salem Yannick Sautter Michael Backes Mathias Humbert Yang Zhang AAML SILM AI4CE 17 39 0 06 Oct 2020
A Study for Universal Adversarial Attacks on Texture Recognition Yingpeng Deng Lina Karam AAML 14 2 0 04 Oct 2020
Adversarial and Natural Perturbations for General Robustness Sadaf Gulshad J. H. Metzen A. Smeulders AAML OOD 21 3 0 03 Oct 2020
Multi-Step Adversarial Perturbations on Recommender Systems Embeddings Vito Walter Anelli Alejandro Bellogín Yashar Deldjoo Tommaso Di Noia Felice Antonio Merra AAML 8 5 0 03 Oct 2020
Efficient Robust Training via Backward Smoothing Jinghui Chen Yu Cheng Zhe Gan Quanquan Gu Jingjing Liu AAML 24 40 0 03 Oct 2020
An Empirical Study of DNNs Robustification Inefficacy in Protecting Visual Recommenders Vito Walter Anelli Tommaso Di Noia Daniele Malitesta Felice Antonio Merra AAML 27 2 0 02 Oct 2020
Block-wise Image Transformation with Secret Key for Adversarially Robust Defense Maungmaung Aprilpyone Hitoshi Kiya 29 57 0 02 Oct 2020
Deep learning for time series classification Hassan Ismail Fawaz BDL AI4TS 43 35 0 01 Oct 2020
Bag of Tricks for Adversarial Training Tianyu Pang Xiao Yang Yinpeng Dong Hang Su Jun Zhu AAML 25 261 0 01 Oct 2020
Depth Estimation from Monocular Images and Sparse Radar Data Juan Lin Dengxin Dai Luc Van Gool MDE 32 73 0 30 Sep 2020
Inverse Classification with Limited Budget and Maximum Number of Perturbed Samples Jaehoon Koo Diego Klabjan J. Utke 24 2 0 29 Sep 2020
Adversarial Attacks Against Deep Learning Systems for ICD-9 Code Assignment Sharan Raja Rudraksh Tuwani AAML 14 3 0 29 Sep 2020
Where Does the Robustness Come from? A Study of the Transformation-based Ensemble Defence Chang Liao Yao Cheng Chengfang Fang Jie Shi 26 1 0 28 Sep 2020
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection Liang Gou Lincan Zou Nanxiang Li M. Hofmann A. Shekar A. Wendt Liu Ren 36 60 0 27 Sep 2020
Beneficial Perturbations Network for Defending Adversarial Examples Shixian Wen A. Rios Laurent Itti AAML 6 1 0 27 Sep 2020
Adversarial Examples in Deep Learning for Multivariate Time Series Regression Gautam Raj Mode K. A. Hoque AAML AI4TS 23 57 0 24 Sep 2020
Torchattacks: A PyTorch Repository for Adversarial Attacks Hoki Kim 14 200 0 24 Sep 2020
Adversarial Attack Based Countermeasures against Deep Learning Side-Channel Attacks Ruizhe Gu Ping Wang Mengce Zheng Honggang Hu Nenghai Yu AAML 8 3 0 22 Sep 2020
Crafting Adversarial Examples for Deep Learning Based Prognostics (Extended Version) Gautam Raj Mode K. A. Hoque AAML 14 17 0 21 Sep 2020
NeuroDiff: Scalable Differential Verification of Neural Networks using Fine-Grained Approximation Brandon Paulsen Jingbo Wang Jiawei Wang Chao Wang 24 36 0 21 Sep 2020
Feature Distillation With Guided Adversarial Contrastive Learning Tao Bai Jinnan Chen Jun Zhao Bihan Wen Xudong Jiang Alex C. Kot AAML 12 9 0 21 Sep 2020
Generating Adversarial yet Inconspicuous Patches with a Single Image Jinqi Luo Tao Bai Jun Zhao AAML 27 6 0 21 Sep 2020
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness Tuan-Anh Bui Trung Le He Zhao Paul Montague O. deVel Tamas Abraham Dinh Q. Phung AAML FedML 26 11 0 21 Sep 2020
Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection Ruijun Gao Qing Guo Felix Juefei Xu Hongkai Yu Huazhu Fu Wei Feng Yang Liu Song Wang AAML 18 14 0 19 Sep 2020
Adversarial Exposure Attack on Diabetic Retinopathy Imagery Yupeng Cheng Felix Juefei Xu Qing Guo Huazhu Fu Xiaofei Xie Shang-Wei Lin Weisi Lin Yang Liu AAML MedIm 21 0 0 19 Sep 2020
EI-MTD:Moving Target Defense for Edge Intelligence against Adversarial Attacks Yaguan Qian Qiqi Shao Jiamin Wang Xiangyuan Lin Yankai Guo Zhaoquan Gu Bin Wang Chunming Wu AAML 35 23 0 19 Sep 2020
Contextual Semantic Interpretability Diego Marcos Ruth C. Fong Sylvain Lobry Rémi Flamary Nicolas Courty D. Tuia SSL 20 27 0 18 Sep 2020
An Algorithm for Out-Of-Distribution Attack to Neural Network Encoder Liang Liang Linhai Ma Linchen Qian Jiasong Chen OODD 22 2 0 17 Sep 2020
Decision-based Universal Adversarial Attack Jing Wu Mingyi Zhou Shuaicheng Liu Yipeng Liu Ce Zhu AAML 34 13 0 15 Sep 2020
Light Can Hack Your Face! Black-box Backdoor Attack on Face Recognition Systems Haoliang Li Yufei Wang Xiaofei Xie Yang Liu Shiqi Wang Renjie Wan Lap-Pui Chau City University of Hong Kong AAML 16 32 0 15 Sep 2020
Robust Deep Learning Ensemble against Deception Wenqi Wei Ling Liu AAML 42 29 0 14 Sep 2020
A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses Ambar Pal René Vidal AAML 31 27 0 14 Sep 2020