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Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

50 / 2,769 papers shown

Title
Data Augmentation via Structured Adversarial Perturbations Calvin Luo H. Mobahi Samy Bengio AAML 53 5 0 05 Nov 2020
A Black-Box Attack Model for Visually-Aware Recommender Systems Rami Cohen Oren Sar Shalom Dietmar Jannach A. Amir 50 28 0 05 Nov 2020
Learning Causal Semantic Representation for Out-of-Distribution Prediction Chang-Shu Liu Xinwei Sun Jindong Wang Haoyue Tang Tao Li Tao Qin Wei Chen Tie-Yan Liu CML OODD OOD 153 107 0 03 Nov 2020
Adversarial Examples in Constrained Domains Ryan Sheatsley Nicolas Papernot Mike Weisman Gunjan Verma Patrick McDaniel AAML 69 24 0 02 Nov 2020
Frequency-based Automated Modulation Classification in the Presence of Adversaries R. Sahay Christopher G. Brinton David J. Love AAML 61 9 0 02 Nov 2020
The Vulnerability of the Neural Networks Against Adversarial Examples in Deep Learning Algorithms Rui Zhao AAML 60 1 0 02 Nov 2020
MAD-VAE: Manifold Awareness Defense Variational Autoencoder Frederick Morlock Dingsu Wang AAML DRL 48 2 0 31 Oct 2020
Adversarial Robust Training of Deep Learning MRI Reconstruction Models Francesco Calivá Kaiyang Cheng Rutwik Shah V. Pedoia OOD AAML MedIm 91 12 0 30 Oct 2020
Being Single Has Benefits. Instance Poisoning to Deceive Malware Classifiers T. Shapira David Berend Ishai Rosenberg Yang Liu A. Shabtai Yuval Elovici AAML 40 4 0 30 Oct 2020
Perception Improvement for Free: Exploring Imperceptible Black-box Adversarial Attacks on Image Classification Yongwei Wang Mingquan Feng Rabab Ward Z. J. Wang Lanjun Wang AAML 34 3 0 30 Oct 2020
WaveTransform: Crafting Adversarial Examples via Input Decomposition Divyam Anshumaan Akshay Agarwal Mayank Vatsa Richa Singh AAML 54 11 0 29 Oct 2020
Beyond cross-entropy: learning highly separable feature distributions for robust and accurate classification Arslan Ali A. Migliorati T. Bianchi E. Magli AAML OOD OODD 29 1 0 29 Oct 2020
Transferable Universal Adversarial Perturbations Using Generative Models Atiyeh Hashemi Andreas Bär S. Mozaffari Tim Fingscheidt AAML 78 17 0 28 Oct 2020
Fast Local Attack: Generating Local Adversarial Examples for Object Detectors Quanyu Liao Xin Wang Bin Kong Siwei Lyu Youbing Yin Qi Song Xi Wu ObjD AAML 80 5 0 27 Oct 2020
FaceLeaks: Inference Attacks against Transfer Learning Models via Black-box Queries Seng Pei Liew Tsubasa Takahashi MIACV FedML 73 9 0 27 Oct 2020
Dynamic Adversarial Patch for Evading Object Detection Models Shahar Hoory T. Shapira A. Shabtai Yuval Elovici AAML 80 42 0 25 Oct 2020
Stop Bugging Me! Evading Modern-Day Wiretapping Using Adversarial Perturbations Yael Mathov Tal Senior A. Shabtai Yuval Elovici 61 5 0 24 Oct 2020
Deep Neural Mobile Networking Chaoyun Zhang 76 1 0 23 Oct 2020
Contrastive Learning with Adversarial Examples Chih-Hui Ho Nuno Vasconcelos SSL 92 142 0 22 Oct 2020
Adversarial Attacks on Binary Image Recognition Systems Eric Balkanski Harrison W. Chase Kojin Oshiba Alexander Rilee Yaron Singer Richard Wang AAML 78 4 0 22 Oct 2020
Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks Shenhao Wang Baichuan Mo Jinhuan Zhao AI4CE 48 36 0 22 Oct 2020
Defense-guided Transferable Adversarial Attacks Zifei Zhang Kai Qiao Jian Chen Ningning Liang AAML 28 0 0 22 Oct 2020
Maximum Mean Discrepancy Test is Aware of Adversarial Attacks Ruize Gao Feng Liu Jingfeng Zhang Bo Han Tongliang Liu Gang Niu Masashi Sugiyama AAML 104 58 0 22 Oct 2020
Boosting Gradient for White-Box Adversarial Attacks Hongying Liu Zhenyu Zhou Fanhua Shang Xiaoyu Qi Yuanyuan Liu L. Jiao AAML 49 8 0 21 Oct 2020
Ulixes: Facial Recognition Privacy with Adversarial Machine Learning Thomas Cilloni Wei Wang Charles Walter Charles Fleming PICV AAML 39 8 0 20 Oct 2020
A Survey of Machine Learning Techniques in Adversarial Image Forensics Ehsan Nowroozi Ali Dehghantanha R. Parizi K. Choo AAML 69 73 0 19 Oct 2020
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 363 707 0 19 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 121 48 0 19 Oct 2020
Taking Over the Stock Market: Adversarial Perturbations Against Algorithmic Traders Elior Nehemya Yael Mathov A. Shabtai Yuval Elovici AIFin AAML 25 4 0 19 Oct 2020
Characterizing and Taming Model Instability Across Edge Devices Eyal Cidon Evgenya Pergament Zain Asgar Asaf Cidon Sachin Katti 63 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 95 32 0 17 Oct 2020
Weight-Covariance Alignment for Adversarially Robust Neural Networks Panagiotis Eustratiadis Henry Gouk Da Li Timothy M. Hospedales OOD AAML 86 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 81 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 39 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 32 3 0 15 Oct 2020
An Evasion Attack against Stacked Capsule Autoencoder Jiazhu Dai Siwei Xiong AAML 36 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 Leilei Gan Jiwei Li FAtt 78 10 0 14 Oct 2020
Linking average- and worst-case perturbation robustness via class selectivity and dimensionality Matthew L. Leavitt Ari S. Morcos AAML 62 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 52 2 0 13 Oct 2020
Noise in Classification Maria-Florina Balcan Nika Haghtalab 61 13 0 10 Oct 2020
Rare-Event Simulation for Neural Network and Random Forest Predictors Yuanlu Bai Zhiyuan Huang Henry Lam Ding Zhao 53 24 0 10 Oct 2020
Understanding Local Robustness of Deep Neural Networks under Natural Variations Ziyuan Zhong Yuchi Tian Baishakhi Ray AAML 71 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 36 30 0 09 Oct 2020
A Unified Approach to Interpreting and Boosting Adversarial Transferability Xin Eric Wang Jie Ren Shuyu Lin Xiangming Zhu Yisen Wang Quanshi Zhang AAML 143 96 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 75 331 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 97 15 0 07 Oct 2020
Adversarial Patch Attacks on Monocular Depth Estimation Networks Koichiro Yamanaka R. Matsumoto Keita Takahashi T. Fujii GAN AAML MDE 57 37 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 59 40 0 06 Oct 2020
A Study for Universal Adversarial Attacks on Texture Recognition Yingpeng Deng Lina Karam AAML 44 2 0 04 Oct 2020
Adversarial and Natural Perturbations for General Robustness Sadaf Gulshad J. H. Metzen A. Smeulders AAML OOD 60 3 0 03 Oct 2020