v1v2v3 (latest)

Universal adversarial perturbations

26 October 2016

Seyed-Mohsen Moosavi-Dezfooli

Papers citing "Universal adversarial perturbations"

50 / 1,270 papers shown

Title
SparseFool: a few pixels make a big difference Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 72 200 0 06 Nov 2018
One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy Jingkang Wang R. Jia Gerald Friedland Yangqiu Song C. Spanos AAML 40 4 0 23 Oct 2018
Security Matters: A Survey on Adversarial Machine Learning Guofu Li Pengjia Zhu Jin Li Zhemin Yang Ning Cao Zhiyi Chen AAML 90 25 0 16 Oct 2018
Analyzing the Noise Robustness of Deep Neural Networks Mengchen Liu Shixia Liu Hang Su Kelei Cao Jun Zhu AAML 70 7 0 09 Oct 2018
The Adversarial Attack and Detection under the Fisher Information Metric Chenxiao Zhao P. T. Fletcher Mixue Yu Chaomin Shen Guixu Zhang Yaxin Peng AAML 76 47 0 09 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon A. Serban E. Poll Joost Visser SILM AAML 102 49 0 02 Oct 2018
Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Convolutional Networks Kenneth T. Co Luis Muñoz-González Sixte de Maupeou Emil C. Lupu AAML 74 67 0 30 Sep 2018
Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization Bao Wang A. Lin Weizhi Zhu Penghang Yin Andrea L. Bertozzi Stanley J. Osher AAML 41 20 0 23 Sep 2018
Adversarial Recommendation: Attack of the Learned Fake Users Konstantina Christakopoulou A. Banerjee AAML 47 12 0 21 Sep 2018
Playing the Game of Universal Adversarial Perturbations Julien Perolat Mateusz Malinowski Bilal Piot Olivier Pietquin AAML 69 25 0 20 Sep 2018
Exploring the Vulnerability of Single Shot Module in Object Detectors via Imperceptible Background Patches Yuezun Li Xiao Bian Ming-Ching Chang Siwei Lyu AAML ObjD 78 31 0 16 Sep 2018
Robust Adversarial Perturbation on Deep Proposal-based Models Yuezun Li Dan Tian Ming-Ching Chang Xiao Bian Siwei Lyu AAML 72 106 0 16 Sep 2018
Adversarial Examples: Opportunities and Challenges Jiliang Zhang Chen Li AAML 57 234 0 13 Sep 2018
A Less Biased Evaluation of Out-of-distribution Sample Detectors Alireza Shafaei Mark Schmidt James J. Little OODD 129 58 0 13 Sep 2018
On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions Yusuke Tsuzuku Issei Sato AAML 82 62 0 11 Sep 2018
Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks Ambra Demontis Marco Melis Maura Pintor Matthew Jagielski Battista Biggio Alina Oprea Cristina Nita-Rotaru Fabio Roli SILM AAML 64 11 0 08 Sep 2018
Query Attack via Opposite-Direction Feature:Towards Robust Image Retrieval Zhedong Zheng Liang Zheng Yi Yang Zhilan Hu AAML 75 24 0 07 Sep 2018
Adversarial Reprogramming of Text Classification Neural Networks Paarth Neekhara Shehzeen Samarah Hussain Shlomo Dubnov F. Koushanfar AAML SILM 98 9 0 06 Sep 2018
Bridging machine learning and cryptography in defence against adversarial attacks O. Taran Shideh Rezaeifar Svyatoslav Voloshynovskiy AAML 57 22 0 05 Sep 2018
Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation C. Liao Haoti Zhong Anna Squicciarini Sencun Zhu David J. Miller SILM 100 317 0 30 Aug 2018
Targeted Nonlinear Adversarial Perturbations in Images and Videos R. Rey-de-Castro H. Rabitz AAML 81 10 0 27 Aug 2018
Generalized Capsule Networks with Trainable Routing Procedure Zhenhua Chen David J. Crandall 3DPC MedIm 65 31 0 27 Aug 2018
Adversarial Attacks on Deep-Learning Based Radio Signal Classification Meysam Sadeghi Erik G. Larsson AAML 58 261 0 23 Aug 2018
Are You Tampering With My Data? Michele Alberti Vinaychandran Pondenkandath Marcel Würsch Manuel Bouillon Mathias Seuret Rolf Ingold Marcus Liwicki AAML 107 19 0 21 Aug 2018
zoNNscan : a boundary-entropy index for zone inspection of neural models Adel Jaouen Erwan Le Merrer UQCV 62 3 0 21 Aug 2018
Reinforcement Learning for Autonomous Defence in Software-Defined Networking Yi Han Benjamin I. P. Rubinstein Tamas Abraham T. Alpcan O. Vel S. Erfani David Hubczenko C. Leckie Paul Montague AAML 55 69 0 17 Aug 2018
Mitigation of Adversarial Attacks through Embedded Feature Selection Ziyi Bao Luis Muñoz-González Emil C. Lupu AAML 44 1 0 16 Aug 2018
Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hiding Lea Schonherr Katharina Kohls Steffen Zeiler Thorsten Holz D. Kolossa AAML 89 291 0 16 Aug 2018
Adversarial Personalized Ranking for Recommendation Xiangnan He Zhankui He Xiaoyu Du Tat-Seng Chua 116 398 0 12 Aug 2018
Out of the Black Box: Properties of deep neural networks and their applications Nizar Ouarti D. Carmona FAtt AAML 28 3 0 10 Aug 2018
VerIDeep: Verifying Integrity of Deep Neural Networks through Sensitive-Sample Fingerprinting Zecheng He Tianwei Zhang R. Lee FedML AAML MLAU 62 19 0 09 Aug 2018
Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer Hsueh-Ti Derek Liu Michael Tao Chun-Liang Li Derek Nowrouzezahrai Alec Jacobson AAML 84 13 0 08 Aug 2018
Defense Against Adversarial Attacks with Saak Transform Sibo Song Yueru Chen Ngai-Man Cheung C.-C. Jay Kuo 69 24 0 06 Aug 2018
On Lipschitz Bounds of General Convolutional Neural Networks Dongmian Zou R. Balan Maneesh Kumar Singh 70 55 0 04 Aug 2018
Ask, Acquire, and Attack: Data-free UAP Generation using Class Impressions Konda Reddy Mopuri P. Uppala R. Venkatesh Babu AAML 83 85 0 03 Aug 2018
Security and Privacy Issues in Deep Learning Ho Bae Jaehee Jang Dahuin Jung Hyemi Jang Heonseok Ha Hyungyu Lee Sungroh Yoon SILM MIACV 145 79 0 31 Jul 2018
Contrastive Video Representation Learning via Adversarial Perturbations Jue Wang A. Cherian 21 1 0 24 Jul 2018
Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach Minhao Cheng Thong Le Pin-Yu Chen Jinfeng Yi Huan Zhang Cho-Jui Hsieh AAML 112 348 0 12 Jul 2018
With Friends Like These, Who Needs Adversaries? Saumya Jetley Nicholas A. Lord Philip Torr AAML 116 70 0 11 Jul 2018
Attack and defence in cellular decision-making: lessons from machine learning Thomas J. Rademaker Emmanuel Bengio P. Franccois AAML 49 4 0 10 Jul 2018
A Game-Based Approximate Verification of Deep Neural Networks with Provable Guarantees Min Wu Matthew Wicker Wenjie Ruan Xiaowei Huang Marta Kwiatkowska AAML 91 111 0 10 Jul 2018
Adversarial Robustness Toolbox v1.0.0 Maria-Irina Nicolae M. Sinn Minh-Ngoc Tran Beat Buesser Ambrish Rawat ... Nathalie Baracaldo Bryant Chen Heiko Ludwig Ian Molloy Ben Edwards AAML VLM 91 462 0 03 Jul 2018
Adversarial Perturbations Against Real-Time Video Classification Systems Shasha Li Ajaya Neupane S. Paul Chengyu Song S. Krishnamurthy Amit K. Roy-Chowdhury A. Swami AAML 93 121 0 02 Jul 2018
Adversarial Reprogramming of Neural Networks Gamaleldin F. Elsayed Ian Goodfellow Jascha Narain Sohl-Dickstein OOD AAML 55 183 0 28 Jun 2018
Gradient Similarity: An Explainable Approach to Detect Adversarial Attacks against Deep Learning J. Dhaliwal S. Shintre AAML 49 15 0 27 Jun 2018
Gradient Adversarial Training of Neural Networks Ayan Sinha Zhao Chen Vijay Badrinarayanan Andrew Rabinovich AAML 63 33 0 21 Jun 2018
Built-in Vulnerabilities to Imperceptible Adversarial Perturbations T. Tanay Jerone T. A. Andrews Lewis D. Griffin 73 7 0 19 Jun 2018
On Machine Learning and Structure for Mobile Robots Markus Wulfmeier 39 6 0 15 Jun 2018
Hardware Trojan Attacks on Neural Networks Joseph Clements Yingjie Lao AAML 78 89 0 14 Jun 2018
Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate M. Belkin Daniel J. Hsu P. Mitra AI4CE 164 259 0 13 Jun 2018