v1v2v3v4 (latest)

Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

50 / 2,769 papers shown

Title
Patch Attack Invariance: How Sensitive are Patch Attacks to 3D Pose? M. Lennon Nathan G. Drenkow Philippe Burlina AAML 39 8 0 16 Aug 2021
On the Importance of Encrypting Deep Features Xingyang Ni H. Huttunen Esa Rahtu MIACV 66 0 0 16 Aug 2021
Exploring Transferable and Robust Adversarial Perturbation Generation from the Perspective of Network Hierarchy Ruikui Wang Yuanfang Guo Ruijie Yang Yunhong Wang AAML 58 3 0 16 Aug 2021
Interpreting Attributions and Interactions of Adversarial Attacks Xin Eric Wang Shuyu Lin Hao Zhang Yufei Zhu Quanshi Zhang AAML FAtt 61 15 0 16 Aug 2021
Deep Adversarially-Enhanced k-Nearest Neighbors Ren Wang Tianqi Chen Alfred Hero 87 0 0 15 Aug 2021
Optical Adversarial Attack Abhiram Gnanasambandam A. Sherman Stanley H. Chan AAML 118 67 0 13 Aug 2021
Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks F. Nesti Giulio Rossolini Saasha Nair Alessandro Biondi Giorgio Buttazzo AAML 86 76 0 13 Aug 2021
AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric Learning Hong Wang Yuefan Deng Shinjae Yoo Haibin Ling Yuewei Lin AAML 67 15 0 13 Aug 2021
Deep adversarial attack on target detection systems Uche M. Osahor Nasser M. Nasrabadi AAML 58 10 0 12 Aug 2021
On Procedural Adversarial Noise Attack And Defense Jun Yan Xiaoyang Deng Huilin Yin Wancheng Ge AAML 56 2 0 10 Aug 2021
Explainable AI and susceptibility to adversarial attacks: a case study in classification of breast ultrasound images Hamza Rasaee H. Rivaz AAML 35 18 0 09 Aug 2021
Meta Gradient Adversarial Attack Zheng Yuan Jie Zhang Yunpei Jia Chuanqi Tan Tao Xue Shiguang Shan AAML 117 79 0 09 Aug 2021
BIGRoC: Boosting Image Generation via a Robust Classifier Roy Ganz Michael Elad 69 10 0 08 Aug 2021
Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous Vehicles Jindi Zhang Yang Lou Jianping Wang Kui Wu K. Lu Xiaohua Jia AAML 74 37 0 06 Aug 2021
Imperceptible Adversarial Examples by Spatial Chroma-Shift A. Aydin Deniz Sen Berat Tuna Karli Oguz Hanoglu A. Temi̇zel AAML 60 16 0 05 Aug 2021
On the Robustness of Domain Adaption to Adversarial Attacks Liyuan Zhang Yuhang Zhou Lei Zhang OOD AAML 45 2 0 04 Aug 2021
On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples Adelin Travers Lorna Licollari Guanghan Wang Varun Chandrasekaran Adam Dziedzic David Lie Nicolas Papernot AAML 60 3 0 03 Aug 2021
AdvRush: Searching for Adversarially Robust Neural Architectures J. Mok Byunggook Na Hyeokjun Choe Sungroh Yoon OOD AAML 85 45 0 03 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 165 242 0 01 Aug 2021
Towards Adversarially Robust and Domain Generalizable Stereo Matching by Rethinking DNN Feature Backbones Ke Cheng Christopher Healey Tianfu Wu AAML OOD 45 2 0 31 Jul 2021
Feature Importance-aware Transferable Adversarial Attacks Peng Kuang Hengchang Guo Zhifei Zhang Wenxin Liu Zhan Qin K. Ren AAML 81 218 0 29 Jul 2021
Enhancing Adversarial Robustness via Test-time Transformation Ensembling Juan C. Pérez Motasem Alfarra Guillaume Jeanneret Laura Rueda Ali K. Thabet Guohao Li Pablo Arbelaez 71 26 0 29 Jul 2021
Imbalanced Adversarial Training with Reweighting Wentao Wang Han Xu Xiaorui Liu Yaxin Li B. Thuraisingham Jiliang Tang 84 16 0 28 Jul 2021
Towards Robustness Against Natural Language Word Substitutions Xinshuai Dong Anh Tuan Luu Rongrong Ji Hong Liu SILM AAML 169 115 0 28 Jul 2021
WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification Qiufu Li Linlin Shen Sheng Guo Zhihui Lai OOD 76 90 0 28 Jul 2021
Benign Adversarial Attack: Tricking Models for Goodness Jitao Sang Xian Zhao Jiaming Zhang Zhiyu Lin AAML SILM 37 3 0 26 Jul 2021
Estimating Predictive Uncertainty Under Program Data Distribution Shift Yufei Li Simin Chen Wei Yang UQCV 68 5 0 23 Jul 2021
Towards Explaining Adversarial Examples Phenomenon in Artificial Neural Networks Ramin Barati Reza Safabakhsh Mohammad Rahmati GAN AAML 39 1 0 22 Jul 2021
Unsupervised Detection of Adversarial Examples with Model Explanations Gihyuk Ko Gyumin Lim AAML GAN 41 5 0 22 Jul 2021
Using Undervolting as an On-Device Defense Against Adversarial Machine Learning Attacks Saikat Majumdar Mohammad Hossein Samavatian Kristin Barber R. Teodorescu AAML 40 7 0 20 Jul 2021
Data Hiding with Deep Learning: A Survey Unifying Digital Watermarking and Steganography Zihan Wang Olivia Byrnes Hu Wang Ruoxi Sun Congbo Ma Huaming Chen Qi Wu Minhui Xue 66 59 0 20 Jul 2021
Automatic Fairness Testing of Neural Classifiers through Adversarial Sampling Peixin Zhang Jingyi Wang Jun Sun Xinyu Wang Guoliang Dong Xingen Wang Ting Dai Jin Song Dong 38 24 0 17 Jul 2021
Correlation Analysis between the Robustness of Sparse Neural Networks and their Random Hidden Structural Priors M. B. Amor Julian Stier Michael Granitzer OOD AAML 19 2 0 13 Jul 2021
Stateful Detection of Model Extraction Attacks Soham Pal Yash Gupta Aditya Kanade S. Shevade MLAU 104 24 0 12 Jul 2021
Out of Distribution Detection and Adversarial Attacks on Deep Neural Networks for Robust Medical Image Analysis Anisie Uwimana Ransalu Senanayake OOD MedIm 77 21 0 10 Jul 2021
Learning to Detect Adversarial Examples Based on Class Scores Tobias Uelwer Félix D. P. Michels Oliver De Candido AAML 50 1 0 09 Jul 2021
Universal 3-Dimensional Perturbations for Black-Box Attacks on Video Recognition Systems Shangyu Xie Han Wang Yu Kong Yuan Hong AAML 70 27 0 09 Jul 2021
Output Randomization: A Novel Defense for both White-box and Black-box Adversarial Models Daniel Park Haidar Khan Azer Khan Alex Gittens B. Yener AAML 37 1 0 08 Jul 2021
ROPUST: Improving Robustness through Fine-tuning with Photonic Processors and Synthetic Gradients Alessandro Cappelli Julien Launay Laurent Meunier Ruben Ohana Iacopo Poli AAML 53 4 0 06 Jul 2021
On Robustness of Lane Detection Models to Physical-World Adversarial Attacks in Autonomous Driving Takami Sato Qi Alfred Chen AAML ELM 79 6 0 06 Jul 2021
Self-Adversarial Training incorporating Forgery Attention for Image Forgery Localization Longhao Zhuo Shunquan Tan Bin Li Jiwu Huang AAML 54 74 0 06 Jul 2021
Robust Online Convex Optimization in the Presence of Outliers T. Erven Sarah Sachs Wouter M. Koolen W. Kotłowski 45 8 0 05 Jul 2021
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks Xiao Yang Yinpeng Dong Tianyu Pang Hang Su Jun Zhu AAML 79 39 0 05 Jul 2021
Evaluating the Cybersecurity Risk of Real World, Machine Learning Production Systems Ron Bitton Nadav Maman Inderjeet Singh Satoru Momiyama Yuval Elovici A. Shabtai 111 19 0 05 Jul 2021
Demiguise Attack: Crafting Invisible Semantic Adversarial Perturbations with Perceptual Similarity Yajie Wang Shangbo Wu Wenyi Jiang Shengang Hao Yu-an Tan Quan-xin Zhang AAML 57 28 0 03 Jul 2021
Using Anomaly Feature Vectors for Detecting, Classifying and Warning of Outlier Adversarial Examples Nelson Manohar-Alers Ryan Feng Sahib Singh Jiguo Song Atul Prakash AAML 29 1 0 01 Jul 2021
Single-Step Adversarial Training for Semantic Segmentation D. Wiens Barbara Hammer SSeg AAML 71 1 0 30 Jun 2021
Bio-Inspired Adversarial Attack Against Deep Neural Networks B. Xi Yujie Chen Fei Fan Zhan Tu Xinyan Deng AAML 41 1 0 30 Jun 2021
Adversarial Machine Learning for Cybersecurity and Computer Vision: Current Developments and Challenges B. Xi AAML 46 29 0 30 Jun 2021
Understanding Adversarial Examples Through Deep Neural Network's Response Surface and Uncertainty Regions Juan Shu B. Xi Charles A. Kamhoua AAML 105 0 0 30 Jun 2021