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Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

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Title
Local Reweighting for Adversarial Training Ruize Gao Feng Liu Kaiwen Zhou Gang Niu Bo Han James Cheng AAML OOD 32 6 0 30 Jun 2021
Attention Aware Wavelet-based Detection of Morphed Face Images Poorya Aghdaie Baaria Chaudhary Sobhan Soleymani J. Dawson Nasser M. Nasrabadi CVBM 76 30 0 29 Jun 2021
Inconspicuous Adversarial Patches for Fooling Image Recognition Systems on Mobile Devices Tao Bai Jinqi Luo Jun Zhao AAML 67 30 0 29 Jun 2021
ASK: Adversarial Soft k-Nearest Neighbor Attack and Defense Ren Wang Tianqi Chen Philip Yao Sijia Liu I. Rajapakse Alfred Hero AAML OOD 65 5 0 27 Jun 2021
Who is Responsible for Adversarial Defense? Kishor Datta Gupta D. Dasgupta AAML 31 2 0 27 Jun 2021
Countering Adversarial Examples: Combining Input Transformation and Noisy Training Cheng Zhang Pan Gao AAML 41 3 0 25 Jun 2021
Minimum sharpness: Scale-invariant parameter-robustness of neural networks Hikaru Ibayashi Takuo Hamaguchi Masaaki Imaizumi 66 5 0 23 Jun 2021
NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations Sungmin Cha Naeun Ko Young Joon Yoo Taesup Moon AAML 49 2 0 22 Jun 2021
Graceful Degradation and Related Fields J. Dymond 77 4 0 21 Jun 2021
Attack to Fool and Explain Deep Networks Naveed Akhtar M. Jalwana Bennamoun Ajmal Mian AAML 106 33 0 20 Jun 2021
Accumulative Poisoning Attacks on Real-time Data Tianyu Pang Xiao Yang Yinpeng Dong Hang Su Jun Zhu 81 20 0 18 Jun 2021
Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis Martin Pawelczyk Chirag Agarwal Shalmali Joshi Sohini Upadhyay Himabindu Lakkaraju AAML 82 53 0 18 Jun 2021
Towards interpreting computer vision based on transformation invariant optimization Chen Li Jinzhe Jiang Xin Zhang Tonghuan Zhang Yaqian Zhao Dong-Liang Jiang Rengang Li AI4CE 24 0 0 18 Jun 2021
Light Lies: Optical Adversarial Attack Kyulim Kim Jeong-Soo Kim Seung-Ri Song Jun-Ho Choi Chul-Min Joo Jong-Seok Lee AAML 61 5 0 18 Jun 2021
Analyzing Adversarial Robustness of Deep Neural Networks in Pixel Space: a Semantic Perspective Lina Wang Xingshu Chen Yulong Wang Yawei Yue Yi Zhu Xuemei Zeng Wei Wang AAML 46 0 0 18 Jun 2021
Adversarial Detection Avoidance Attacks: Evaluating the robustness of perceptual hashing-based client-side scanning Shubham Jain Ana-Maria Cretu Yves-Alexandre de Montjoye 65 36 0 17 Jun 2021
Adversarial Visual Robustness by Causal Intervention Kaihua Tang Ming Tao Hanwang Zhang CML AAML 85 21 0 17 Jun 2021
Evaluating the Robustness of Bayesian Neural Networks Against Different Types of Attacks Yutian Pang Sheng Cheng Jueming Hu Yongming Liu AAML 120 12 0 17 Jun 2021
Towards Adversarial Robustness via Transductive Learning Jiefeng Chen Yang Guo Xi Wu Tianqi Li Qicheng Lao Yingyu Liang S. Jha AAML 48 5 0 15 Jun 2021
Adversarial Attacks on Deep Models for Financial Transaction Records I. Fursov Matvey Morozov N. Kaploukhaya Elizaveta Kovtun Rodrigo Rivera-Castro Gleb Gusev Dmitrii Babaev Ivan Kireev Alexey Zaytsev Evgeny Burnaev AAML 85 38 0 15 Jun 2021
Probabilistic Margins for Instance Reweighting in Adversarial Training Qizhou Wang Feng Liu Bo Han Tongliang Liu Chen Gong Gang Niu Mingyuan Zhou Masashi Sugiyama AAML 83 65 0 15 Jun 2021
Controlling Neural Networks with Rule Representations Sungyong Seo Sercan O. Arik Jinsung Yoon Xiang Zhang Kihyuk Sohn Tomas Pfister OOD AI4CE 105 35 0 14 Jun 2021
Audio Attacks and Defenses against AED Systems -- A Practical Study Rodrigo Augusto dos Santos Shirin Nilizadeh AAML 43 2 0 14 Jun 2021
Certification of embedded systems based on Machine Learning: A survey Guillaume Vidot Christophe Gabreau I. Ober Iulian Ober 51 12 0 14 Jun 2021
Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks Utku Ozbulak Esla Timothy Anzaku W. D. Neve Arnout Van Messem AAML 148 10 0 14 Jun 2021
Relaxing Local Robustness Klas Leino Matt Fredrikson AAML 63 8 0 11 Jun 2021
Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation Jiawei Zhang Linyi Li Huichen Li Xiaolu Zhang Shuang Yang Yangqiu Song AAML 56 17 0 10 Jun 2021
We Can Always Catch You: Detecting Adversarial Patched Objects WITH or WITHOUT Signature Binxiu Liang Jiachun Li Jianjun Huang AAML 82 13 0 09 Jun 2021
HASI: Hardware-Accelerated Stochastic Inference, A Defense Against Adversarial Machine Learning Attacks Mohammad Hossein Samavatian Saikat Majumdar Kristin Barber R. Teodorescu AAML 121 4 0 09 Jun 2021
Reveal of Vision Transformers Robustness against Adversarial Attacks Ahmed Aldahdooh W. Hamidouche Olivier Déforges ViT 55 60 0 07 Jun 2021
Adversarial Attack and Defense in Deep Ranking Mo Zhou Le Wang Zhenxing Niu Qilin Zhang N. Zheng G. Hua OOD 83 15 0 07 Jun 2021
A Primer on Multi-Neuron Relaxation-based Adversarial Robustness Certification Kevin Roth AAML 29 2 0 06 Jun 2021
Ensemble Defense with Data Diversity: Weak Correlation Implies Strong Robustness Renjue Li Hanwei Zhang Pengfei Yang Cheng-Chao Huang Aimin Zhou Bai Xue Lijun Zhang FedML AAML 38 4 0 05 Jun 2021
BO-DBA: Query-Efficient Decision-Based Adversarial Attacks via Bayesian Optimization Zhuosheng Zhang Shucheng Yu AAML 46 1 0 04 Jun 2021
A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks Jacob Mitchell Springer Melanie Mitchell Garrett Kenyon AAML 90 44 0 03 Jun 2021
A Comparison for Anti-noise Robustness of Deep Learning Classification Methods on a Tiny Object Image Dataset: from Convolutional Neural Network to Visual Transformer and Performer Ao Chen Chen Li Hao Chen Hechen Yang Penghui Zhao Weiming Hu Wanli Liu Shuojia Zou M. Grzegorzek 42 2 0 03 Jun 2021
PDPGD: Primal-Dual Proximal Gradient Descent Adversarial Attack Alexander Matyasko Lap-Pui Chau AAML 47 8 0 03 Jun 2021
The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning K. Morik Helena Kotthaus Lukas Heppe Danny Heinrich Raphael Fischer Andrea Pauly Nico Piatkowski 104 4 0 01 Jun 2021
Improving the Adversarial Robustness for Speaker Verification by Self-Supervised Learning Haibin Wu Xu Li Andy T. Liu Zhiyong Wu Helen Meng Hung-yi Lee AAML SSL 116 30 0 01 Jun 2021
Generating Adversarial Examples with Graph Neural Networks Florian Jaeckle M. P. Kumar GAN AAML 53 21 0 30 May 2021
DAAIN: Detection of Anomalous and Adversarial Input using Normalizing Flows Samuel von Baussnern Johannes Otterbach Adrian Loy Mathieu Salzmann Thomas Wollmann 34 1 0 30 May 2021
Evaluating Resilience of Encrypted Traffic Classification Against Adversarial Evasion Attacks Ramy Maarouf Danish Sattar Ashraf Matrawy AAML 38 9 0 30 May 2021
Defending Pre-trained Language Models from Adversarial Word Substitutions Without Performance Sacrifice Rongzhou Bao Jiayi Wang Hai Zhao AAML 56 43 0 30 May 2021
Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning Zhiyuan Zeng Keqing He Yuanmeng Yan Zijun Liu Yanan Wu Hong Xu Huixing Jiang Weiran Xu 63 68 0 29 May 2021
FoveaTer: Foveated Transformer for Image Classification Aditya Jonnalagadda Wenjie Wang B. S. Manjunath Miguel P. Eckstein ViT 73 24 0 29 May 2021
Visualizing Representations of Adversarially Perturbed Inputs D. Steinberg P. Munro 16 1 0 28 May 2021
DeepMoM: Robust Deep Learning With Median-of-Means Shih-Ting Huang Johannes Lederer FedML 74 6 0 28 May 2021
Adversarial Robustness against Multiple and Single $l_p$ -Threat Models via Quick Fine-Tuning of Robust Classifiers Francesco Croce Matthias Hein OOD AAML 67 18 0 26 May 2021
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer Yuanmeng Yan Rumei Li Sirui Wang Fuzheng Zhang Wei Wu Weiran Xu SSL 129 562 0 25 May 2021
CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes Hao Huang Yongtao Wang Zhaoyu Chen Yuze Zhang Yuheng Li Zhi Tang Wei Chu Jingdong Chen Weisi Lin K. Ma AAML 100 93 0 23 May 2021