Universal adversarial perturbations

26 October 2016

Seyed-Mohsen Moosavi-Dezfooli

Papers citing "Universal adversarial perturbations"

50 / 1,267 papers shown

Title
Simple Black-box Adversarial Attacks Chuan Guo Jacob R. Gardner Yurong You A. Wilson Kilian Q. Weinberger AAML 28 568 0 17 May 2019
Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models M. Singh Abhishek Sinha Nupur Kumari Harshitha Machiraju Balaji Krishnamurthy V. Balasubramanian AAML 19 61 0 13 May 2019
Moving Target Defense for Deep Visual Sensing against Adversarial Examples Qun Song Zhenyu Yan Rui Tan AAML 21 20 0 11 May 2019
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges Rob Ashmore R. Calinescu Colin Paterson AI4TS 34 116 0 10 May 2019
Universal Adversarial Perturbations for Speech Recognition Systems Paarth Neekhara Shehzeen Samarah Hussain Prakhar Pandey Shlomo Dubnov Julian McAuley F. Koushanfar AAML 36 113 0 09 May 2019
ROSA: Robust Salient Object Detection against Adversarial Attacks Haofeng Li Guanbin Li Yizhou Yu AAML 16 28 0 09 May 2019
Adversarial Examples Are Not Bugs, They Are Features Andrew Ilyas Shibani Santurkar Dimitris Tsipras Logan Engstrom Brandon Tran Aleksander Madry SILM 57 1,810 0 06 May 2019
Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples Vikash Sehwag A. Bhagoji Liwei Song Chawin Sitawarin Daniel Cullina M. Chiang Prateek Mittal OODD 32 26 0 05 May 2019
NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks Yandong Li Lijun Li Liqiang Wang Tong Zhang Boqing Gong AAML 18 245 0 01 May 2019
POBA-GA: Perturbation Optimized Black-Box Adversarial Attacks via Genetic Algorithm Jinyin Chen Mengmeng Su Shijing Shen Hui Xiong Haibin Zheng AAML 22 67 0 01 May 2019
Physical Adversarial Textures that Fool Visual Object Tracking R. Wiyatno Anqi Xu AAML 29 73 0 24 Apr 2019
Analytical Moment Regularizer for Gaussian Robust Networks Modar Alfadly Adel Bibi Guohao Li AAML 27 4 0 24 Apr 2019
Minimizing Perceived Image Quality Loss Through Adversarial Attack Scoping K. Khabarlak L. Koriashkina AAML 16 1 0 23 Apr 2019
AnonymousNet: Natural Face De-Identification with Measurable Privacy Tao Li Lei Lin PICV 32 144 0 19 Apr 2019
Fooling automated surveillance cameras: adversarial patches to attack person detection Simen Thys W. V. Ranst Toon Goedemé AAML 52 565 0 18 Apr 2019
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers Ameya Joshi Amitangshu Mukherjee Soumik Sarkar Chinmay Hegde AAML 8 99 0 17 Apr 2019
LiveSketch: Query Perturbations for Guided Sketch-based Visual Search John Collomosse Tu Bui Hailin Jin 22 56 0 14 Apr 2019
Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks David J. Miller Zhen Xiang G. Kesidis AAML 19 35 0 12 Apr 2019
Generating Minimal Adversarial Perturbations with Integrated Adaptive Gradients Yatie Xiao Chi-Man Pun AAML GAN TTA 19 0 0 12 Apr 2019
Evaluating Robustness of Deep Image Super-Resolution against Adversarial Attacks Jun-Ho Choi Huan Zhang Jun-Hyuk Kim Cho-Jui Hsieh Jong-Seok Lee AAML SupR 24 70 0 12 Apr 2019
Black-box Adversarial Attacks on Video Recognition Models Linxi Jiang Xingjun Ma Shaoxiang Chen James Bailey Yu-Gang Jiang AAML MLAU 14 143 0 10 Apr 2019
Towards Safety Verification of Direct Perception Neural Networks Chih-Hong Cheng Chung-Hao Huang Thomas Brunner Vahid Hashemi 11 14 0 09 Apr 2019
Towards Analyzing Semantic Robustness of Deep Neural Networks Abdullah Hamdi Guohao Li AAML 33 17 0 09 Apr 2019
Efficient Decision-based Black-box Adversarial Attacks on Face Recognition Yinpeng Dong Hang Su Baoyuan Wu Zhifeng Li Wen Liu Tong Zhang Jun Zhu CVBM AAML 28 405 0 09 Apr 2019
JumpReLU: A Retrofit Defense Strategy for Adversarial Attacks N. Benjamin Erichson Z. Yao Michael W. Mahoney AAML 27 21 0 07 Apr 2019
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks Yinpeng Dong Tianyu Pang Hang Su Jun Zhu SILM AAML 49 830 0 05 Apr 2019
Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks Fatemeh Sheikholeslami Swayambhoo Jain G. Giannakis AAML 22 25 0 05 Apr 2019
Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses Yingwei Li S. Bai Cihang Xie Zhenyu A. Liao Xiaohui Shen Alan Yuille AAML 47 50 0 01 Apr 2019
A Provable Defense for Deep Residual Networks M. Mirman Gagandeep Singh Martin Vechev 27 26 0 29 Mar 2019
IMAE for Noise-Robust Learning: Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude's Variance Matters Xinshao Wang Yang Hua Elyor Kodirov David Clifton N. Robertson NoLa 24 62 0 28 Mar 2019
Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets Riccardo Volpi Vittorio Murino 39 29 0 28 Mar 2019
Adversarial camera stickers: A physical camera-based attack on deep learning systems Juncheng Billy Li Frank R. Schmidt J. Zico Kolter AAML 16 164 0 21 Mar 2019
On Certifying Non-uniform Bound against Adversarial Attacks Chen Liu Ryota Tomioka V. Cevher AAML 50 19 0 15 Mar 2019
Attribution-driven Causal Analysis for Detection of Adversarial Examples Susmit Jha Sunny Raj S. Fernandes Sumit Kumar Jha S. Jha Gunjan Verma B. Jalaeian A. Swami AAML 25 17 0 14 Mar 2019
Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints Xing Hu Ling Liang Lei Deng Shuangchen Li Xinfeng Xie Yu Ji Yufei Ding Chang Liu T. Sherwood Yuan Xie AAML MLAU 23 36 0 10 Mar 2019
Semantics Preserving Adversarial Learning Ousmane Amadou Dia Elnaz Barshan Reza Babanezhad AAML GAN 36 2 0 10 Mar 2019
Safety Verification and Robustness Analysis of Neural Networks via Quadratic Constraints and Semidefinite Programming Mahyar Fazlyab M. Morari George J. Pappas AAML 22 227 0 04 Mar 2019
Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications Bryse Flowers R. M. Buehrer William C. Headley AAML 40 123 0 01 Mar 2019
Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence Yi Han David Hubczenko Paul Montague O. Vel Tamas Abraham Benjamin I. P. Rubinstein C. Leckie T. Alpcan S. Erfani AAML 16 6 0 25 Feb 2019
Physical Adversarial Attacks Against End-to-End Autoencoder Communication Systems Meysam Sadeghi Erik G. Larsson AAML 22 112 0 22 Feb 2019
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure Fuli Feng Xiangnan He Jie Tang Tat-Seng Chua OOD AAML 34 219 0 20 Feb 2019
Mockingbird: Defending Against Deep-Learning-Based Website Fingerprinting Attacks with Adversarial Traces Mohammad Saidur Rahman Mohsen Imani Nate Mathews M. Wright AAML 14 80 0 18 Feb 2019
On instabilities of deep learning in image reconstruction - Does AI come at a cost? Vegard Antun F. Renna C. Poon Ben Adcock A. Hansen 24 597 0 14 Feb 2019
Adversarial Samples on Android Malware Detection Systems for IoT Systems Xiaolei Liu Xiaojiang Du Xiaosong Zhang Qingxin Zhu Mohsen Guizani AAML 8 60 0 12 Feb 2019
Towards a Robust Deep Neural Network in Texts: A Survey Wenqi Wang Benxiao Tang Run Wang Lina Wang Aoshuang Ye AAML 26 39 0 12 Feb 2019
Understanding the One-Pixel Attack: Propagation Maps and Locality Analysis Danilo Vasconcellos Vargas Jiawei Su FAtt AAML 11 36 0 08 Feb 2019
A Comprehensive Overview of Biometric Fusion Maneet Singh Richa Singh Arun Ross 18 185 0 08 Feb 2019
Analyzing and Improving Representations with the Soft Nearest Neighbor Loss Nicholas Frosst Nicolas Papernot Geoffrey E. Hinton 20 157 0 05 Feb 2019
Theoretical evidence for adversarial robustness through randomization Rafael Pinot Laurent Meunier Alexandre Araujo H. Kashima Florian Yger Cédric Gouy-Pailler Jamal Atif AAML 47 82 0 04 Feb 2019
Robustness Certificates Against Adversarial Examples for ReLU Networks Sahil Singla S. Feizi AAML 25 21 0 01 Feb 2019