v1v2v3 (latest)

Universal adversarial perturbations

26 October 2016

Seyed-Mohsen Moosavi-Dezfooli

Papers citing "Universal adversarial perturbations"

50 / 1,270 papers shown

Title
Attack to Fool and Explain Deep Networks Naveed Akhtar M. Jalwana Bennamoun Ajmal Mian AAML 106 33 0 20 Jun 2021
Group-Structured Adversarial Training Farzan Farnia Amirali Aghazadeh James Zou David Tse AAML 151 0 0 18 Jun 2021
Analyzing Adversarial Robustness of Deep Neural Networks in Pixel Space: a Semantic Perspective Lina Wang Xingshu Chen Yulong Wang Yawei Yue Yi Zhu Xuemei Zeng Wei Wang AAML 46 0 0 18 Jun 2021
Adversarial Visual Robustness by Causal Intervention Kaihua Tang Ming Tao Hanwang Zhang CML AAML 85 21 0 17 Jun 2021
Real-time Adversarial Perturbations against Deep Reinforcement Learning Policies: Attacks and Defenses Buse G. A. Tekgul Shelly Wang Samuel Marchal Nadarajah Asokan AAML OffRL 63 6 0 16 Jun 2021
Now You See It, Now You Dont: Adversarial Vulnerabilities in Computational Pathology Alex Foote Amina Asif A. Azam Tim Marshall-Cox Nasir M. Rajpoot F. Minhas AAML MedIm 69 12 0 14 Jun 2021
Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks Utku Ozbulak Esla Timothy Anzaku W. D. Neve Arnout Van Messem AAML 148 10 0 14 Jun 2021
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales Ylva Jansson T. Lindeberg 91 24 0 11 Jun 2021
CausalAdv: Adversarial Robustness through the Lens of Causality Yonggang Zhang Biwei Huang Tongliang Liu Gang Niu Xinmei Tian Bo Han Bernhard Schölkopf Kun Zhang OOD AAML CML 82 36 0 11 Jun 2021
Deep neural network loses attention to adversarial images Shashank Kotyan Danilo Vasconcellos Vargas AAML GAN 45 4 0 10 Jun 2021
HASI: Hardware-Accelerated Stochastic Inference, A Defense Against Adversarial Machine Learning Attacks Mohammad Hossein Samavatian Saikat Majumdar Kristin Barber R. Teodorescu AAML 121 4 0 09 Jun 2021
Reveal of Vision Transformers Robustness against Adversarial Attacks Ahmed Aldahdooh W. Hamidouche Olivier Déforges ViT 55 60 0 07 Jun 2021
Adversarial Attack and Defense in Deep Ranking Mo Zhou Le Wang Zhenxing Niu Qilin Zhang N. Zheng G. Hua OOD 83 15 0 07 Jun 2021
Feature-based Style Randomization for Domain Generalization Yue Wang Lei Qi Yinghuan Shi Yang Gao OOD 96 51 0 06 Jun 2021
RDA: Robust Domain Adaptation via Fourier Adversarial Attacking Jiaxing Huang Dayan Guan Aoran Xiao Shijian Lu AAML 113 77 0 05 Jun 2021
GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations Enmao Diao Jie Ding Vahid Tarokh FedML 84 17 0 02 Jun 2021
Dominant Patterns: Critical Features Hidden in Deep Neural Networks Zhixing Ye S. Qin Sizhe Chen Xiaolin Huang AAML 65 2 0 31 May 2021
Generating Adversarial Examples with Graph Neural Networks Florian Jaeckle M. P. Kumar GAN AAML 53 21 0 30 May 2021
Detecting Backdoor in Deep Neural Networks via Intentional Adversarial Perturbations Mingfu Xue Yinghao Wu Zhiyu Wu Yushu Zhang Jian Wang Weiqiang Liu AAML 54 12 0 29 May 2021
SafeAMC: Adversarial training for robust modulation recognition models Javier Maroto Gérôme Bovet P. Frossard AAML 136 8 0 28 May 2021
CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes Hao Huang Yongtao Wang Zhaoyu Chen Yuze Zhang Yuheng Li Zhi Tang Wei Chu Jingdong Chen Weisi Lin K. Ma AAML 100 93 0 23 May 2021
Adversarial Examples Detection with Bayesian Neural Network Yao Li Tongyi Tang Cho-Jui Hsieh T. C. Lee GAN AAML 60 3 0 18 May 2021
Real-time Detection of Practical Universal Adversarial Perturbations Kenneth T. Co Luis Muñoz-González Leslie Kanthan Emil C. Lupu AAML 66 7 0 16 May 2021
Salient Feature Extractor for Adversarial Defense on Deep Neural Networks Jinyin Chen Ruoxi Chen Haibin Zheng Zhaoyan Ming Wenrong Jiang Chen Cui AAML 42 11 0 14 May 2021
Adversarial examples attack based on random warm restart mechanism and improved Nesterov momentum Tian-zhou Li AAML 35 1 0 10 May 2021
A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking Zhenbang Li Yaya Shi Jin Gao Shaoru Wang Bing Li Pengpeng Liang Weiming Hu AAML 93 27 0 06 May 2021
Exploiting Vulnerabilities in Deep Neural Networks: Adversarial and Fault-Injection Attacks Faiq Khalid Muhammad Abdullah Hanif Mohamed Bennai AAML SILM 76 9 0 05 May 2021
Adversarial Example Detection for DNN Models: A Review and Experimental Comparison Ahmed Aldahdooh W. Hamidouche Sid Ahmed Fezza Olivier Déforges AAML 233 128 0 01 May 2021
Hidden Backdoors in Human-Centric Language Models Shaofeng Li Hui Liu Tian Dong Benjamin Zi Hao Zhao Minhui Xue Haojin Zhu Jialiang Lu SILM 112 154 0 01 May 2021
Deep Image Destruction: Vulnerability of Deep Image-to-Image Models against Adversarial Attacks Jun-Ho Choi Huan Zhang Jun-Hyuk Kim Cho-Jui Hsieh Jong-Seok Lee VLM 62 8 0 30 Apr 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde ... Serin Varghese Michael Weber Sebastian J. Wirkert Tim Wirtz Matthias Woehrle AAML 126 58 0 29 Apr 2021
Why AI is Harder Than We Think Melanie Mitchell 115 97 0 26 Apr 2021
3D Adversarial Attacks Beyond Point Cloud Jinlai Zhang Lyujie Chen Binbin Liu Bojun Ouyang Qizhi Xie Jihong Zhu Weiming Li Yanmei Meng 3DPC 73 41 0 25 Apr 2021
Evaluating Deception Detection Model Robustness To Linguistic Variation M. Glenski Ellyn Ayton Robin Cosbey Dustin L. Arendt Svitlana Volkova AAML 39 0 0 23 Apr 2021
Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions Jing Wu Mingyi Zhou Ce Zhu Yipeng Liu Mehrtash Harandi Li Li AAML 107 11 0 22 Apr 2021
Jacobian Regularization for Mitigating Universal Adversarial Perturbations Kenneth T. Co David Martínez-Rego Emil C. Lupu AAML 64 8 0 21 Apr 2021
Extraction of Hierarchical Functional Connectivity Components in human brain using Adversarial Learning Dushyant Sahoo Christos Davatzikos 29 2 0 20 Apr 2021
Staircase Sign Method for Boosting Adversarial Attacks Qilong Zhang Xiaosu Zhu Jingkuan Song Lianli Gao Heng Tao Shen AAML 88 13 0 20 Apr 2021
A Backdoor Attack against 3D Point Cloud Classifiers Zhen Xiang David J. Miller Siheng Chen Xi Li G. Kesidis 3DPC AAML 84 77 0 12 Apr 2021
FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems Liang Tong Zhengzhang Chen Jingchao Ni Wei Cheng Dongjin Song Haifeng Chen Yevgeniy Vorobeychik CVBM AAML 75 19 0 08 Apr 2021
A single gradient step finds adversarial examples on random two-layers neural networks Sébastien Bubeck Yeshwanth Cherapanamjeri Gauthier Gidel Rémi Tachet des Combes MLT 79 28 0 08 Apr 2021
Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective Yi Zeng Won Park Z. Morley Mao R. Jia AAML 88 215 0 07 Apr 2021
Universal Spectral Adversarial Attacks for Deformable Shapes Arianna Rampini Franco Pestarini Luca Cosmo Simone Melzi Emanuele Rodolà AAML 120 18 0 07 Apr 2021
Universal Adversarial Training with Class-Wise Perturbations Philipp Benz Chaoning Zhang Adil Karjauv In So Kweon AAML 58 27 0 07 Apr 2021
The art of defense: letting networks fool the attacker Jinlai Zhang Lyvjie Chen Binbin Liu Bojun Ouyang Jihong Zhu Minchi Kuang Houqing Wang Yanmei Meng AAML 3DPC 78 16 0 07 Apr 2021
Exploring Targeted Universal Adversarial Perturbations to End-to-end ASR Models Zhiyun Lu Wei Han Yu Zhang Liangliang Cao AAML 89 17 0 06 Apr 2021
Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification S. Silva Arun Das I. Scarff Peyman Najafirad AAML 52 1 0 05 Apr 2021
Semantically Stealthy Adversarial Attacks against Segmentation Models Zhenhua Chen Chuhua Wang David J. Crandall AAML 77 12 0 05 Apr 2021
Multi-Class Data Description for Out-of-distribution Detection Dongha Lee Sehun Yu Hwanjo Yu OODD 61 39 0 02 Apr 2021
TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness Zhuolin Yang Linyi Li Xiaojun Xu Shiliang Zuo Qiang Chen Benjamin I. P. Rubinstein Pan Zhou Ce Zhang Yue Liu AAML 129 56 0 01 Apr 2021