v1v2v3 (latest)

Universal adversarial perturbations

26 October 2016

Seyed-Mohsen Moosavi-Dezfooli

Papers citing "Universal adversarial perturbations"

50 / 1,270 papers shown

Title
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 116 73 0 07 Aug 2020
Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples Xiaojun Jia Xingxing Wei Xiaochun Cao Xiaoguang Han AAML 75 88 0 05 Aug 2020
Efficient Adversarial Attacks for Visual Object Tracking Siyuan Liang Xingxing Wei Siyuan Yao Xiaochun Cao AAML 78 75 0 01 Aug 2020
On the Convergence of SGD with Biased Gradients Ahmad Ajalloeian Sebastian U. Stich 84 90 0 31 Jul 2020
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases Ren Wang Gaoyuan Zhang Sijia Liu Pin-Yu Chen Jinjun Xiong Meng Wang AAML 148 149 0 31 Jul 2020
Revisiting the Modifiable Areal Unit Problem in Deep Traffic Prediction with Visual Analytics Wei Zeng Chengqiao Lin Juncong Lin Jincheng Jiang Jiazhi Xia Cagatay Turkay Wei Chen 53 27 0 30 Jul 2020
A General Framework For Detecting Anomalous Inputs to DNN Classifiers Jayaram Raghuram Varun Chandrasekaran S. Jha Suman Banerjee AAML 106 35 0 29 Jul 2020
End-to-End Adversarial White Box Attacks on Music Instrument Classification Katharina Prinz A. Flexer AAML 24 0 0 29 Jul 2020
Cassandra: Detecting Trojaned Networks from Adversarial Perturbations Xiaoyu Zhang Ajmal Mian Rohit Gupta Nazanin Rahnavard M. Shah AAML 91 26 0 28 Jul 2020
Adversarial Privacy-preserving Filter Jiaming Zhang Jitao Sang Xian Zhao Xiaowen Huang Yanfeng Sun Yongli Hu PICV 81 42 0 25 Jul 2020
Adversarial Attacks against Face Recognition: A Comprehensive Study Fatemeh Vakhshiteh A. Nickabadi Raghavendra Ramachandra AAML 83 16 0 22 Jul 2020
Robust Machine Learning via Privacy/Rate-Distortion Theory Ye Wang Shuchin Aeron Adnan Siraj Rakin T. Koike-Akino P. Moulin OOD 74 6 0 22 Jul 2020
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review Yansong Gao Bao Gia Doan Zhi-Li Zhang Siqi Ma Jiliang Zhang Anmin Fu Surya Nepal Hyoungshick Kim AAML 127 233 0 21 Jul 2020
Robust Tracking against Adversarial Attacks Shuai Jia Chao Ma Yibing Song Xiaokang Yang AAML 75 51 0 20 Jul 2020
Anomaly Detection in Unsupervised Surveillance Setting Using Ensemble of Multimodal Data with Adversarial Defense Sayeed Shafayet Chowdhury Kaji Mejbaul Islam Rouhan Noor AAML 50 3 0 17 Jul 2020
Technologies for Trustworthy Machine Learning: A Survey in a Socio-Technical Context Ehsan Toreini Mhairi Aitken Kovila P. L. Coopamootoo Karen Elliott Vladimiro González-Zelaya P. Missier Magdalene Ng Aad van Moorsel 72 18 0 17 Jul 2020
Backdoor Learning: A Survey Yiming Li Yong Jiang Zhifeng Li Shutao Xia AAML 170 614 0 17 Jul 2020
Towards Evaluating Driver Fatigue with Robust Deep Learning Models Ken Alparslan Yigit Can Alparslan Matthew Burlick 20 7 0 16 Jul 2020
Deep Learning Backdoors Shaofeng Li Shiqing Ma Minhui Xue Benjamin Zi Hao Zhao 153 36 0 16 Jul 2020
Odyssey: Creation, Analysis and Detection of Trojan Models Marzieh Edraki Nazmul Karim Nazanin Rahnavard Ajmal Mian M. Shah AAML 97 14 0 16 Jul 2020
A Survey on Security Attacks and Defense Techniques for Connected and Autonomous Vehicles M. Pham Kaiqi Xiong 125 143 0 16 Jul 2020
Adversarial Attacks against Neural Networks in Audio Domain: Exploiting Principal Components Ken Alparslan Yigit Can Alparslan Matthew Burlick AAML 26 9 0 14 Jul 2020
Towards robust sensing for Autonomous Vehicles: An adversarial perspective Apostolos Modas Ricardo Sánchez-Matilla P. Frossard Andrea Cavallaro AAML 63 35 0 14 Jul 2020
Patch-wise Attack for Fooling Deep Neural Network Lianli Gao Qilong Zhang Jingkuan Song Xianglong Liu Heng Tao Shen AAML 91 143 0 14 Jul 2020
Data from Model: Extracting Data from Non-robust and Robust Models Philipp Benz Chaoning Zhang Tooba Imtiaz In-So Kweon 73 7 0 13 Jul 2020
Understanding Adversarial Examples from the Mutual Influence of Images and Perturbations Chaoning Zhang Philipp Benz Tooba Imtiaz In-So Kweon SSL AAML 83 119 0 13 Jul 2020
Probabilistic Jacobian-based Saliency Maps Attacks Théo Combey António Loison Maxime Faucher H. Hajri AAML 106 19 0 12 Jul 2020
Understanding Object Detection Through An Adversarial Lens Ka-Ho Chow Ling Liu Mehmet Emre Gursoy Stacey Truex Wenqi Wei Yanzhao Wu AAML ObjD 56 24 0 11 Jul 2020
Boundary thickness and robustness in learning models Yaoqing Yang Rekha Khanna Yaodong Yu A. Gholami Kurt Keutzer Joseph E. Gonzalez Kannan Ramchandran Michael W. Mahoney OOD 72 42 0 09 Jul 2020
Making Adversarial Examples More Transferable and Indistinguishable Junhua Zou Yexin Duan Xin Liu Junyang Qiu Yu Pan Zhisong Pan AAML 75 32 0 08 Jul 2020
Learning while Respecting Privacy and Robustness to Distributional Uncertainties and Adversarial Data A. Sadeghi Gang Wang Meng Ma G. Giannakis OOD FedML 29 4 0 07 Jul 2020
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey S. Silva Peyman Najafirad AAML OOD 104 135 0 01 Jul 2020
Geometry-Inspired Top-k Adversarial Perturbations Nurislam Tursynbek Aleksandr Petiushko Ivan Oseledets AAML 83 10 0 28 Jun 2020
Diverse Knowledge Distillation (DKD): A Solution for Improving The Robustness of Ensemble Models Against Adversarial Attacks Ali Mirzaeian Jana Kosecka Houman Homayoun Tinoosh Mohsening Avesta Sasan FedML AAML 41 3 0 26 Jun 2020
Can We Mitigate Backdoor Attack Using Adversarial Detection Methods? Kaidi Jin Tianwei Zhang Chao Shen Yufei Chen Ming Fan Chenhao Lin Ting Liu AAML 43 14 0 26 Jun 2020
Orthogonal Deep Models As Defense Against Black-Box Attacks M. Jalwana Naveed Akhtar Bennamoun Ajmal Mian AAML 45 11 0 26 Jun 2020
Not all Failure Modes are Created Equal: Training Deep Neural Networks for Explicable (Mis)Classification Alberto Olmo Sailik Sengupta S. Kambhampati 58 6 0 26 Jun 2020
Network Moments: Extensions and Sparse-Smooth Attacks Modar Alfadly Adel Bibi Emilio Botero Salman Alsubaihi Guohao Li AAML 37 2 0 21 Jun 2020
Adversarial Attacks for Multi-view Deep Models Xuli Sun Shiliang Sun AAML 29 0 0 19 Jun 2020
REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions Lokender Tiwari Anish Madan Saket Anand Subhashis Banerjee AAML 35 1 0 18 Jun 2020
OGAN: Disrupting Deepfakes with an Adversarial Attack that Survives Training Eran Segalis Eran Galili 69 17 0 17 Jun 2020
Classifier-independent Lower-Bounds for Adversarial Robustness Elvis Dohmatob 33 1 0 17 Jun 2020
AdvMind: Inferring Adversary Intent of Black-Box Attacks Ren Pang Xinyang Zhang S. Ji Xiapu Luo Ting Wang MLAU AAML 64 30 0 16 Jun 2020
Robust Federated Learning: The Case of Affine Distribution Shifts Amirhossein Reisizadeh Farzan Farnia Ramtin Pedarsani Ali Jadbabaie FedML OOD 98 167 0 16 Jun 2020
Total Deep Variation: A Stable Regularizer for Inverse Problems Erich Kobler Alexander Effland K. Kunisch Thomas Pock MedIm 82 19 0 15 Jun 2020
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them Chen Liu Mathieu Salzmann Tao R. Lin Ryota Tomioka Sabine Süsstrunk AAML 134 82 0 15 Jun 2020
The Pitfalls of Simplicity Bias in Neural Networks Harshay Shah Kaustav Tamuly Aditi Raghunathan Prateek Jain Praneeth Netrapalli AAML 76 364 0 13 Jun 2020
Targeted Adversarial Perturbations for Monocular Depth Prediction A. Wong Safa Cicek Stefano Soatto AAML MDE 62 45 0 12 Jun 2020
Defending against GAN-based Deepfake Attacks via Transformation-aware Adversarial Faces Chaofei Yang Lei Ding Yiran Chen H. Li AAML 78 46 0 12 Jun 2020
Towards Robust Pattern Recognition: A Review Xu-Yao Zhang Cheng-Lin Liu C. Suen OOD HAI 69 110 0 12 Jun 2020