v1v2v3 (latest)

Universal adversarial perturbations

26 October 2016

Seyed-Mohsen Moosavi-Dezfooli

Papers citing "Universal adversarial perturbations"

50 / 1,270 papers shown

Title
NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video Compression Jung-Woo Chang Nojan Sheybani Shehzeen Samarah Hussain Mojan Javaheripi Seira Hidano F. Koushanfar AAML 64 1 0 04 Apr 2023
Fooling Polarization-based Vision using Locally Controllable Polarizing Projection Zhuoxiao Li Zhihang Zhong S. Nobuhara Ko Nishino Yinqiang Zheng AAML 91 1 0 31 Mar 2023
Adversarial Attack and Defense for Medical Image Analysis: Methods and Applications Junhao Dong Junxi Chen Xiaohua Xie Jianhuang Lai Hechang Chen AAML MedIm 129 19 0 24 Mar 2023
AdaptGuard: Defending Against Universal Attacks for Model Adaptation Lijun Sheng Jian Liang Ran He Zilei Wang Tien-Ping Tan AAML 117 5 0 19 Mar 2023
Adversarial Counterfactual Visual Explanations Guillaume Jeanneret Loïc Simon F. Jurie DiffM 102 29 0 17 Mar 2023
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey Yulong Wang Tong Sun Shenghong Li Xinnan Yuan W. Ni Ekram Hossain H. Vincent Poor AAML 107 18 0 11 Mar 2023
Do we need entire training data for adversarial training? Vipul Gupta Apurva Narayan AAML 70 1 0 10 Mar 2023
Accurate Real-time Polyp Detection in Videos from Concatenation of Latent Features Extracted from Consecutive Frames H. Qadir Younghak Shin Jacob Bergsland I. Balasingham MedIm 72 3 0 10 Mar 2023
Decision-BADGE: Decision-based Adversarial Batch Attack with Directional Gradient Estimation Geunhyeok Yu Minwoo Jeon Hyoseok Hwang AAML 80 1 0 09 Mar 2023
Immune Defense: A Novel Adversarial Defense Mechanism for Preventing the Generation of Adversarial Examples Jinwei Wang Hao Wu Haihua Wang Jiawei Zhang X. Luo Bin Ma AAML 55 0 0 08 Mar 2023
Consistent Valid Physically-Realizable Adversarial Attack against Crowd-flow Prediction Models Hassan Ali M. A. Butt F. Filali Ala I. Al-Fuqaha Junaid Qadir AAML 61 2 0 05 Mar 2023
The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks Spencer Frei Gal Vardi Peter L. Bartlett Nathan Srebro 83 17 0 02 Mar 2023
Feature Extraction Matters More: Universal Deepfake Disruption through Attacking Ensemble Feature Extractors Long Tang Dengpan Ye Zhenhao Lu Yunming Zhang Shengshan Hu Yue Xu Chuanxi Chen AAML 86 9 0 01 Mar 2023
Harnessing the Speed and Accuracy of Machine Learning to Advance Cybersecurity Khatoon Mohammed AAML 109 10 0 24 Feb 2023
Detecting software vulnerabilities using Language Models Marwan Omar 55 11 0 23 Feb 2023
Interpretable Spectrum Transformation Attacks to Speaker Recognition Jiadi Yao H. Luo Xiao-Lei Zhang AAML 59 2 0 21 Feb 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective Baoyuan Wu Zihao Zhu Li Liu Qingshan Liu Zhaofeng He Siwei Lyu AAML 112 23 0 19 Feb 2023
RobustNLP: A Technique to Defend NLP Models Against Backdoor Attacks Marwan Omar SILM AAML 101 0 0 18 Feb 2023
Masking and Mixing Adversarial Training Hiroki Adachi Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi Yasunori Ishii Kazuki Kozuka AAML 21 1 0 16 Feb 2023
Semantic Image Segmentation: Two Decades of Research G. Csurka Riccardo Volpi Boris Chidlovskii 3DV 94 53 0 13 Feb 2023
SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency Junfeng Guo Yiming Li Xun Chen Hanqing Guo Lichao Sun Cong Liu AAML MLAU 85 107 0 07 Feb 2023
Hyperbolic Contrastive Learning Yun Yue Fangzhou Lin Kazunori D Yamada Ziming Zhang SSL 133 21 0 02 Feb 2023
Learning PDE Solution Operator for Continuous Modeling of Time-Series Yesom Park Jaemoo Choi Changyeon Yoon Changhoon Song Myung-joo Kang AI4TS AI4CE 43 3 0 02 Feb 2023
Universal Soldier: Using Universal Adversarial Perturbations for Detecting Backdoor Attacks Xiaoyun Xu Oguzhan Ersoy S. Picek AAML 70 2 0 01 Feb 2023
Effectiveness of Moving Target Defenses for Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 60 2 0 01 Feb 2023
Fourier Sensitivity and Regularization of Computer Vision Models K. Krishnamachari See-Kiong Ng Chuan-Sheng Foo OOD 55 2 0 31 Jan 2023
Deep networks for system identification: a Survey G. Pillonetto Aleksandr Aravkin Daniel Gedon L. Ljung Antônio H. Ribeiro Thomas B. Schon OOD 105 45 0 30 Jan 2023
Lateralized Learning for Multi-Class Visual Classification Tasks Abubakar Siddique Will N. Browne Gina M. Grimshaw 39 2 0 30 Jan 2023
On the Adversarial Robustness of Camera-based 3D Object Detection Shaoyuan Xie Zichao Li Zeyu Wang Cihang Xie AAML 86 20 0 25 Jan 2023
A Study on FGSM Adversarial Training for Neural Retrieval Simon Lupart Stéphane Clinchant AAML 87 7 0 25 Jan 2023
Practical Adversarial Attacks Against AI-Driven Power Allocation in a Distributed MIMO Network Ömer Faruk Tuna Fehmí Emre Kadan Leyli Karaçay AAML 58 6 0 23 Jan 2023
Provable Unrestricted Adversarial Training without Compromise with Generalizability Lili Zhang Ning Yang Yanchao Sun Philip S. Yu AAML 84 2 0 22 Jan 2023
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy Yusuke Kawamoto Kazumasa Miyake K. Konishi Y. Oiwa 58 4 0 18 Jan 2023
Uncertainty Estimation based on Geometric Separation Gabriella Chouraqui L. Cohen Gil Einziger Liel Leman 62 0 0 11 Jan 2023
AdvBiom: Adversarial Attacks on Biometric Matchers Debayan Deb Vishesh Mistry Rahul Parthe AAML CVBM 72 3 0 10 Jan 2023
Adversarial training with informed data selection Marcele O. K. Mendonça Javier Maroto P. Frossard P. Diniz AAML 55 4 0 07 Jan 2023
Silent Killer: A Stealthy, Clean-Label, Black-Box Backdoor Attack Tzvi Lederer Gallil Maimon Lior Rokach AAML 41 2 0 05 Jan 2023
GUAP: Graph Universal Attack Through Adversarial Patching Xiao Zang Jie Chen Bo Yuan AAML 64 4 0 04 Jan 2023
Efficient Robustness Assessment via Adversarial Spatial-Temporal Focus on Videos Xingxing Wei Songping Wang Huanqian Yan AAML 107 20 0 03 Jan 2023
Generalizable Black-Box Adversarial Attack with Meta Learning Fei Yin Yong Zhang Baoyuan Wu Yan Feng Jingyi Zhang Yanbo Fan Yujiu Yang AAML 102 28 0 01 Jan 2023
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization Bairu Hou Jinghan Jia Yihua Zhang Guanhua Zhang Yang Zhang Sijia Liu Shiyu Chang SILM AAML 63 24 0 19 Dec 2022
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization Shiji Xin Yifei Wang Jingtong Su Yisen Wang OOD 92 7 0 18 Dec 2022
Adversarial Attacks and Defences for Skin Cancer Classification Vinay Jogani J. Purohit Ishaan Shivhare Samina Attari S. Shrawne AAML MedIm 57 2 0 13 Dec 2022
A Survey on Reinforcement Learning Security with Application to Autonomous Driving Ambra Demontis Maura Pintor Christian Scano Kathrin Grosse Hsiao-Ying Lin Chengfang Fang Battista Biggio Fabio Roli AAML 73 4 0 12 Dec 2022
Carpet-bombing patch: attacking a deep network without usual requirements Pol Labarbarie Adrien Chan-Hon-Tong Stéphane Herbin Milad Leyli-Abadi AAML 56 1 0 12 Dec 2022
REAP: A Large-Scale Realistic Adversarial Patch Benchmark Nabeel Hingun Chawin Sitawarin Jerry Li David Wagner AAML 97 15 0 12 Dec 2022
PKDGA: A Partial Knowledge-based Domain Generation Algorithm for Botnets Lihai Nie Xiaoyang Shan Laiping Zhao Keqiu Li 64 5 0 08 Dec 2022
veriFIRE: Verifying an Industrial, Learning-Based Wildfire Detection System Guy Amir Ziv Freund Guy Katz Elad Mandelbaum Idan Refaeli 104 13 0 06 Dec 2022
Probabilistic Verification of ReLU Neural Networks via Characteristic Functions Joshua Pilipovsky Vignesh Sivaramakrishnan Meeko Oishi Panagiotis Tsiotras 81 5 0 03 Dec 2022
Improving Training and Inference of Face Recognition Models via Random Temperature Scaling Lei Shang Mou-Yue Huang Wuxuan Shi Yuchen Liu Yang Liu Fei Wang Baigui Sun Xuansong Xie Yu Qiao UQCV 81 9 0 02 Dec 2022