v1v2v3 (latest)

Universal adversarial perturbations

26 October 2016

Seyed-Mohsen Moosavi-Dezfooli

Papers citing "Universal adversarial perturbations"

50 / 1,270 papers shown

Title
PAC-learning in the presence of evasion adversaries Daniel Cullina A. Bhagoji Prateek Mittal AAML 90 55 0 05 Jun 2018
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks Jan Svoboda Jonathan Masci Federico Monti M. Bronstein Leonidas Guibas AAML GNN 88 41 0 31 May 2018
Explaining Explanations: An Overview of Interpretability of Machine Learning Leilani H. Gilpin David Bau Ben Z. Yuan Ayesha Bajwa Michael A. Specter Lalana Kagal XAI 126 1,869 0 31 May 2018
Sequential Attacks on Agents for Long-Term Adversarial Goals E. Tretschk Seong Joon Oh Mario Fritz OnRL 399 48 1 31 May 2018
Stochastic Zeroth-order Optimization via Variance Reduction method Liu Liu Minhao Cheng Cho-Jui Hsieh Dacheng Tao 123 20 0 30 May 2018
Lightweight Probabilistic Deep Networks Jochen Gast Stefan Roth UQCV OOD BDL 90 183 0 29 May 2018
Laplacian Networks: Bounding Indicator Function Smoothness for Neural Network Robustness Carlos Lassance Vincent Gripon Antonio Ortega AAML 88 16 0 24 May 2018
Adversarial Noise Layer: Regularize Neural Network By Adding Noise Zhonghui You Jinmian Ye Kunming Li Zenglin Xu Ping Wang 82 77 0 21 May 2018
Curriculum Adversarial Training Qi-Zhi Cai Min Du Chang-rui Liu Basel Alomair AAML 91 165 0 13 May 2018
Reachability Analysis of Deep Neural Networks with Provable Guarantees Wenjie Ruan Xiaowei Huang Marta Kwiatkowska AAML 76 271 0 06 May 2018
Siamese networks for generating adversarial examples Mandar M. Kulkarni A. Abubakar GAN AAML 21 4 0 03 May 2018
Adversarially Robust Generalization Requires More Data Ludwig Schmidt Shibani Santurkar Dimitris Tsipras Kunal Talwar Aleksander Madry OOD AAML 202 797 0 30 Apr 2018
Black-box Adversarial Attacks with Limited Queries and Information Andrew Ilyas Logan Engstrom Anish Athalye Jessy Lin MLAU AAML 184 1,208 0 23 Apr 2018
Decoupled Networks Weiyang Liu Ziqiang Liu Zhiding Yu Bo Dai Rongmei Lin Yisen Wang James M. Rehg Le Song OOD 66 70 0 22 Apr 2018
ADef: an Iterative Algorithm to Construct Adversarial Deformations Rima Alaifari Giovanni S. Alberti Tandri Gauksson AAML 94 97 0 20 Apr 2018
Attacking Convolutional Neural Network using Differential Evolution Jiawei Su Danilo Vasconcellos Vargas Kouichi Sakurai AAML 62 45 0 19 Apr 2018
Deep Neural Networks Motivated by Partial Differential Equations Lars Ruthotto E. Haber AI4CE 161 492 0 12 Apr 2018
Unifying Bilateral Filtering and Adversarial Training for Robust Neural Networks Neale Ratzlaff Fuxin Li AAML FedML 35 1 0 05 Apr 2018
Learning to Anonymize Faces for Privacy Preserving Action Detection Zhongzheng Ren Yong Jae Lee Michael S. Ryoo CVBM PICV 151 205 0 30 Mar 2018
Feed-forward Uncertainty Propagation in Belief and Neural Networks Alexander Shekhovtsov B. Flach M. Busta 51 4 0 28 Mar 2018
Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization Daniel Jakubovitz Raja Giryes AAML 99 210 0 23 Mar 2018
Robust Blind Deconvolution via Mirror Descent Sathya Ravi Ronak R. Mehta Vikas Singh 21 3 0 21 Mar 2018
Adversarial Defense based on Structure-to-Signal Autoencoders Joachim Folz Sebastián M. Palacio Jörn Hees Damian Borth Andreas Dengel AAML 71 32 0 21 Mar 2018
Large Margin Deep Networks for Classification Gamaleldin F. Elsayed Dilip Krishnan H. Mobahi Kevin Regan Samy Bengio MQ 74 285 0 15 Mar 2018
Deep Dictionary Learning: A PARametric NETwork Approach Shahin Mahdizadehaghdam Ashkan Panahi Hamid Krim Liyi Dai 78 63 0 11 Mar 2018
Testing Deep Neural Networks Youcheng Sun Xiaowei Huang Daniel Kroening James Sharp Matthew Hill Rob Ashmore AAML 88 219 0 10 Mar 2018
Detecting Adversarial Examples - A Lesson from Multimedia Forensics Pascal Schöttle Alexander Schlögl Cecilia Pasquini Rainer Böhme AAML 43 4 0 09 Mar 2018
On Generation of Adversarial Examples using Convex Programming E. Balda Arash Behboodi R. Mathar AAML 44 13 0 09 Mar 2018
Sparse Adversarial Perturbations for Videos Xingxing Wei Jun Zhu Hang Su AAML 77 142 0 07 Mar 2018
Understanding and Enhancing the Transferability of Adversarial Examples Lei Wu Zhanxing Zhu Cheng Tai E. Weinan AAML SILM 80 99 0 27 Feb 2018
Sensitivity and Generalization in Neural Networks: an Empirical Study Roman Novak Yasaman Bahri Daniel A. Abolafia Jeffrey Pennington Jascha Narain Sohl-Dickstein AAML 99 442 0 23 Feb 2018
Deep Defense: Training DNNs with Improved Adversarial Robustness Ziang Yan Yiwen Guo Changshui Zhang AAML 97 110 0 23 Feb 2018
Unravelling Robustness of Deep Learning based Face Recognition Against Adversarial Attacks Gaurav Goswami Nalini Ratha Akshay Agarwal Richa Singh Mayank Vatsa AAML 97 166 0 22 Feb 2018
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression Nilaksh Das Madhuri Shanbhogue Shang-Tse Chen Fred Hohman Siwei Li Li-Wei Chen Michael E. Kounavis Duen Horng Chau FedML AAML 85 228 0 19 Feb 2018
Divide, Denoise, and Defend against Adversarial Attacks Seyed-Mohsen Moosavi-Dezfooli A. Shrivastava Oncel Tuzel AAML 57 45 0 19 Feb 2018
DARTS: Deceiving Autonomous Cars with Toxic Signs Chawin Sitawarin A. Bhagoji Arsalan Mosenia M. Chiang Prateek Mittal AAML 117 236 0 18 Feb 2018
Learning Privacy Preserving Encodings through Adversarial Training Francesco Pittaluga S. Koppal Ayan Chakrabarti PICV 160 76 0 14 Feb 2018
Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models Mengying Sun Fengyi Tang Jinfeng Yi Fei Wang Jiayu Zhou AAML OOD MedIm 85 63 0 13 Feb 2018
Towards an Understanding of Neural Networks in Natural-Image Spaces Yifei Fan A. Yezzi AAML GAN 30 2 0 27 Jan 2018
Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations Konda Reddy Mopuri Aditya Ganeshan R. Venkatesh Babu AAML 151 206 0 24 Jan 2018
Adversarial Texts with Gradient Methods Zhitao Gong Wenlu Wang Yangqiu Song Basel Alomair Wei-Shinn Ku AAML 106 77 0 22 Jan 2018
Deep saliency: What is learnt by a deep network about saliency? Sen He N. Pugeault SSL FAtt 63 8 0 12 Jan 2018
A3T: Adversarially Augmented Adversarial Training Akram Erraqabi A. Baratin Yoshua Bengio Simon Lacoste-Julien AAML 94 9 0 12 Jan 2018
Spatially Transformed Adversarial Examples Chaowei Xiao Jun-Yan Zhu Yue Liu Warren He M. Liu Basel Alomair AAML 104 524 0 08 Jan 2018
LaVAN: Localized and Visible Adversarial Noise D. Karmon Daniel Zoran Yoav Goldberg AAML 84 244 0 08 Jan 2018
$HeNet: A Deep Learning Approach on Intel$^\circledR$ Processor Trace for Effective Exploit Detection$ HeNet: A Deep Learning Approach on Intel $^\circledR$ Processor Trace for Effective Exploit Detection Li-Wei Chen Salmin Sultana R. Sahita 54 41 0 08 Jan 2018
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text Nicholas Carlini D. Wagner AAML 101 1,083 0 05 Jan 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey Naveed Akhtar Ajmal Mian AAML 146 1,873 0 02 Jan 2018
A General Framework for Adversarial Examples with Objectives Mahmood Sharif Sruti Bhagavatula Lujo Bauer Michael K. Reiter AAML GAN 84 196 0 31 Dec 2017
Adversarial Patch Tom B. Brown Dandelion Mané Aurko Roy Martín Abadi Justin Gilmer AAML 98 1,099 0 27 Dec 2017