Universal Adversarial Perturbations

Cited by (1,005)

Items 801–900 of 1,005

1. Imperceptible black-box waveform-level adversarial attack towards automatic speaker recognition
   Xingyu Zhang, Xiongwei Zhang, Meng Sun, Xia Zou, Kejiang Chen, Nenghai Yu · 2022 · Complex & Intelligent Systems
2. i-Sample: Augment Domain Adversarial Adaptation Models for WiFi-based HAR
   Zhipeng Zhou, Feng Wang, Wei Gong · 2023 · ACM Transactions on Sensor Networks
3. Universal adversarial backdoor attacks to fool vertical federated learning
   Peng Chen, Xin Du, Zhihui Lu, Hongfeng Chai · 2023 · Computers & Security
4. Anti-Modulation-Classification Transmitter Design Against Deep Learning Approaches
   Boxiang He, Fanggang Wang · 2023 · IEEE Transactions on Wireless Communications
5. Adversarial Attacks on Automatic Speech Recognition (ASR): A Survey
   Amisha Bhanushali, Hyunjun Mun, Joobeom Yun · 2024 · IEEE Access
6. Unmasking Deception: A Comprehensive Survey on the Evolution of Face Anti‐spoofing Methods
   Aashania Antil, Chhavi Dhiman · 2024 · Neurocomputing
7. Are You Tampering with My Data?
   Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Manuel Bouillon, Mathias Seuret, Rolf Ingold, Marcus Liwicki · 2019 · Lecture notes in computer science
8. Longitudinal Adversarial Attack on Electronic Health Records Data
   Sungtae An, Cao Xiao, Walter F. Stewart, Jimeng Sun · 2019 · International World Wide Web Conference (WWW)
9. Spatio-temporal generative adversarial network for gait anonymization
   Ngoc-Dung T. Tieu, Huy H. Nguyen, Hoang-Quoc Nguyen-Son, Junichi Yamagishi, Isao Echizen · 2019 · Journal of Information Security and Applications
10. Learning Interpretable and Statistically Significant Knowledge from Unlabeled Corpora of Social Text Messages: A Novel Methodology of Descriptive Text Mining
    Giacomo Frisoni, Gianluca Moro, Antonella Carbonaro · 2020 · International Conference on Data Science, Technology and Applications (DATA)
11. Understanding Credibility of Adversarial Examples against Smart Grid
    Qun Song, Rui Tan, Chao Ren, Yan Hui Xu · 2021 · ACM International Conference on Future Energy Systems (e-Energy)
12. DEAttack: A differential evolution based attack method for the robustness evaluation of medical image segmentation
    Cui Xiangxiang, Shi Chang, Chen Li, Bin Kong, Lihua Tian, Hongqiang Wang, Peng Fei Huang, Meng Yang, Yenan Wu, Zhongyu Li · 2021 · Neurocomputing
13. Inheritance Attention Matrix-Based Universal Adversarial Perturbations on Vision Transformers
    Haoqi Hu, Xiaofeng Lu, Xinpeng Zhang, Tianxing Zhang, Guangling Sun · 2021 · IEEE Signal Processing Letters
14. Universal Adversarial Attacks on Neural Networks for Power Allocation in a Massive MIMO System
    P. M. Santos, B. Manoj, Meysam Sadeghi, Erik G. Larsson · 2021 · IEEE Wireless Communications Letters
15. FATALRead - Fooling visual speech recognition models
    Anup Kumar Gupta, Puneet Gupta, Esa Rahtu · 2021 · Applied Intelligence
16. Can Adversarial Network Attack be Defended?
    Chen, Jinyin, Yangyang Wu, Xiang Lin, Qi Xuan · 2019 · arXiv (Cornell University)
17. Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations
    Yuezun Li, Xin Yang, Baoyuan Wu, Siwei Lyu · 2019 · arXiv (Cornell University)
18. Detection as Regression: Certified Object Detection by Median Smoothing
    Ping-yeh Chiang, Michael J. Curry, Ahmed Abdelkader, Aounon Kumar, John P. Dickerson, Tom Goldstein · 2020 · arXiv (Cornell University)
19. Robust Semantic Segmentation by Redundant Networks With a Layer-Specific Loss Contribution and Majority Vote
    Andreas Bär, Marvin Klingner, Serin Varghese, Fabian Hüger, Peter Schlicht, Tim Fingscheidt · 2020 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
20. Vulnerability vs. Reliability: Disentangled Adversarial Examples for Cross-Modal Learning
    Chao Li, Haoteng Tang, Cheng Dan Deng, Liang Zhan, Wei Liu · 2020 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
21. Adversarial Example Attacks in the Physical World
    Huali Ren, Teng Huang · 2020 · Lecture notes in computer science
22. A defense method based on attention mechanism against traffic sign adversarial samples
    Hailiang Li, Bin Zhang, Yu Zhang, Xilin Dang, Yuwei Han, Linfeng Wei, Yijun Mao, Jian Weng · 2021 · Information Fusion
23. Scale-Invariant Scale-Channel Networks: Deep Networks That Generalise to Previously Unseen Scales
    Ylva Jansson, Tony Lindeberg · 2022 · Journal of Mathematical Imaging and Vision
24. Rank List Sensitivity of Recommender Systems to Interaction Perturbations
    Sejoon Oh, Berk Ustun, Julian McAuley, Srijan Kumar · 2022 · ACM International Conference on Information and Knowledge Management (CIKM)
25. Resisting DNN-Based Website Fingerprinting Attacks Enhanced by Adversarial Training
    Li-Tao Qiao, Bang Wu, Shuijun Yin, Heng Li, Wei Yuan, Xia-Pu Luo · 2023 · IEEE Transactions on Information Forensics and Security
26. Dynamic Generative Targeted Attacks with Pattern Injection
    Weiwei Feng, Nanqing Xu, Tianzhu Zhang, Yongdong Zhang · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
27. A Primer on Bayesian Neural Networks: Review and Debates
    Julyan Arbel, Konstantinos Pitas, Mariia Vladimirova, Vincent Fortuin · 2026 · Statistical Science
28. CARLA-GeAR: A Dataset Generator for a Systematic Evaluation of Adversarial Robustness of Deep Learning Vision Models
    Federico Nesti, Giulio Rossolini, Gianluca D’Amico, Alessandro Biondi, Giorgio Buttazzo · 2024 · IEEE Transactions on Intelligent Transportation Systems
29. Adversarial Examples in Deep Neural Networks: An Overview
    Emilio Rafael Balda, Arash Behboodi, Rudolf Mathar · 2019 · Studies in computational intelligence
30. Adversarial Robustness by One Bit Double Quantization for Visual Classification
    AprilPyone MaungMaung, Yuma Kinoshita, Hitoshi Kiya · 2019 · IEEE Access
31. Probabilistic Analysis of Targeted Attacks Using Transform-Domain Adversarial Examples
    Zakia Yahya, Muhammad Hassan, Muhammad Shahzad Younis, Muhammad Shafique · 2020 · IEEE Access
32. Countering Acoustic Adversarial Attacks in Microphone-equipped Smart Home Devices
    Sourav Bhattacharya, Dionysis Manousakas, Alberto Gil C. P. Ramos, Stylianos I. Venieris, Nicholas D. Lane, Cecilia Mascolo C · 2020 · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
33. Neural Networks and Deep Learning
    Ben Adcock, Anders C. Hansen · 2021 · Cambridge University Press eBooks
34. Efficient Sparse Attacks on Videos using Reinforcement Learning
    Huanqian Yan, Xingxing Wei · 2021 · ACM International Conference on Multimedia (ACM MM)
35. Fruit-classification model resilience under adversarial attack
    Raheel Siddiqi · 2021 · SN Applied Sciences
36. A Targeted Universal Attack on Graph Convolutional Network by Using Fake Nodes
    Jiazhu Dai, Weifeng Zhu, Xiangfeng Luo · 2022 · Neural Processing Letters
37. Modeling Spatial Nonstationarity via Deformable Convolutions for Deep Traffic Flow Prediction
    Wei Zeng, Chengqiao Lin, Kang Liu, Juncong Lin, Anthony K. H. Tung · 2021 · IEEE Transactions on Knowledge and Data Engineering
38. Adversarial Attacks and Defenses in Deep Learning: A Survey
    Chengyu Wang, Jia Wang, Qiuzhen Lin · 2021 · Lecture notes in computer science
39. A Novel Way to Generate Adversarial Network Traffic Samples against Network Traffic Classification
    Yongjin Hu, Tian Jin, Jun Ma · 2021 · Wireless Communications and Mobile Computing
40. Comparative Study of Adversarial Training Methods for Long-tailed Classification
    Xiangxian Li, Haokai Ma, Lei Meng, Xiangxu Meng · 2021
41. Simple Black-Box Universal Adversarial Attacks on Deep Neural Networks for Medical Image Classification
    Kazuki Koga, Kazuhiro Takemoto · 2022 · Algorithms
42. Explainable and secure artificial intelligence: taxonomy, cases of study, learned lessons, challenges and future directions
    Khalid Aly Eldrandaly, Mohamed Abdel‐Basset, Mahmoud Ibrahim, Nabil M. AbdelAziz · 2022 · Enterprise Information Systems
43. Incremental Learning, Incremental Backdoor Threats
    Wenbo Jiang, Tianwei Zhang, Han Qiu, Hongwei Li, Guowen Xu · 2022 · IEEE Transactions on Dependable and Secure Computing
44. Frequency domain regularization for iterative adversarial attacks
    Tengjiao Li, Maosen Li, Yanhua Yang, Cheng Dan Deng · 2022 · Pattern Recognition
45. Substitute Meta-Learning for Black-Box Adversarial Attack
    Cong Hu, Hao-Qi Xu, Xiao‐Jun Wu · 2022 · IEEE Signal Processing Letters
46. Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness
    Chaoning Zhang, Chenshuang Zhang, Chenshuang Zhang, Axi Niu, Jiu Feng, Chang D. Yoo, In So Kweon · 2022 · Lecture notes in computer science
47. Anti-aliasing deep image classifiers using novel depth adaptive blurring and activation function
    Md Tahmid Hossain, Shyh Wei Teng, Guojun Lu, Mohammad Arifur Rahman, Ferdous Ahmed Sohel · 2023 · Neurocomputing
48. Topology-aware universal adversarial attack on 3D object tracking
    Riran Cheng, Xupeng Wang, Ferdous Ahmed Sohel, Hang Lei · 2023 · Visual Intelligence
49. Toward Robust 3D Perception for Autonomous Vehicles: A Review of Adversarial Attacks and Countermeasures
    K. T. Y. Mahima, Asanka G. Perera, Sreenatha Gopalarao Anavatti, Matthew Garratt · 2024 · IEEE Transactions on Intelligent Transportation Systems
50. Advanced Ensemble Adversarial Example on Unknown Deep Neural Network Classifiers
    Hyun Kwon, Yongchul Kim, Ki-Woong Park, Hyunsoo Yoon, Daeseon Choi · 2018 · IEICE Transactions on Information and Systems
51. Towards cross-task universal perturbation against black-box object detectors in autonomous driving
    Quanxin Zhang, Yuhang Zhao, Yajie Wang, Thar Baker, Jian Zhang, Jingjing Hu · 2020 · Computer Networks
52. Unraveling robustness of deep face anti-spoofing models against pixel attacks
    Naima Bousnina, Lilei Zheng, Mounia Mikram, Sanaa Ghouzali, Khalid Minaoui · 2020 · Multimedia Tools and Applications
53. Security Threats and Defensive Approaches in Machine Learning System Under Big Data Environment
    Hongsong Chen, Zhang Yongpeng, Yongrui Cao, Bharat Bhargava · 2021 · Wireless Personal Communications
54. Brain programming is immune to adversarial attacks: Towards accurate and robust image classification using symbolic learning
    Gerardo Ibarra-Vázquez, Gustavo Olague A, Mariana Chan-Ley, Cesar Puente, Carlos Soubervielle‐Montalvo · 2022 · Swarm and Evolutionary Computation
55. Holistic Adversarial Robustness of Deep Learning Models
    Pin‐Yu Chen, Sijia Liu · 2023 · Proceedings of the AAAI Conference on Artificial Intelligence
56. Adversarial Attack and Defense in Deep Ranking
    Mo Zhou, Le Wang, Zhenxing Niu, Qilin Zhang, Nanning Zheng, Gang Hua · 2024 · IEEE Transactions on Pattern Analysis and Machine Intelligence
57. Adversarial Watermarking to Attack Deep Neural Networks
    Gengxing Wang, Xinyuan Chen, Chang Xu · 2019 · IEEE International Conference on Acoustics Speech and Signal Processing
58. PAC-learning in the presence of evasion adversaries
    Daniel Cullina, A. Bhagoji, Prateek Mittal · 2018 · Neural Information Processing Systems
59. Defense Against Adversarial Attacks with Saak Transform
    Sibo Song, Yueru Chen, Ngai Man Cheung, C.‐C. Jay Kuo · 2018 · arXiv (Cornell University)
60. Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey
    Abhijith Sharma, Yijun Bian, Phil Munz, Apurva Narayan · 2022
61. Adversarial Vulnerability in Doppler-based Human Activity Recognition
    Zhaoyuan Yang, Yang Sheng Zhao, Weizhong Yan · 2020 · International Joint Conference on Neural Networks (IJCNN)
62. Remaining Useful Life Estimation of Bearings Using Data-Driven Ridge Regression
    Pangun Park, Mingyu Jung, Piergiuseppe Di Marco · 2020 · Applied Sciences
63. Digital Watermark Perturbation for Adversarial Examples to Fool Deep Neural Networks
    Shiyu Feng, Feng Feng, Xiao Xu, Zheng Wang, Yining Hu, Lizhe Xie · 2021 · International Joint Conference on Neural Networks (IJCNN)
64. Adversarial Reprogramming of Pretrained Neural Networks for Fraud Detection
    Lingwei Chen, Yujie Fan, Yanfang Ye · 2021 · ACM International Conference on Information and Knowledge Management (CIKM)
65. Deepfake-Image Anti-Forensics with Adversarial Examples Attacks
    Li Fan, Wei Li, Xiaohui Cui · 2021 · Future Internet
66. Adversarial Attacks to Solar Power Forecast
    Ningkai Tang, Shiwen Mao, R.M. Nelms · 2021 · Globecom
67. Feature-filter: Detecting adversarial examples by filtering out recessive features
    Hui Liu, Bo Zhao, Minzhi Ji, Yuefeng Peng, Jiabao Guo, Peng Liu · 2022 · Applied Soft Computing
68. Model scheduling and sample selection for ensemble adversarial example attacks
    Zichao Hu, Heng Li, Liheng Yuan, Zhang Cheng, Wei M. Yuan, Ming Zhu · 2022 · Pattern Recognition
69. Type-I Generative Adversarial Attack
    Shenghong He, Ruxin Wang, Tongliang Liu, Chao Yi, Xin Jin, Renyang Liu, Wei Zhou · 2022 · IEEE Transactions on Dependable and Secure Computing
70. Interpreting Universal Adversarial Example Attacks on Image Classification Models
    Yi Ding, Fuyuan Tan, Geng Ji, Zhen Qin, Mingsheng Cao, Kim‐Kwang Raymond Choo, Zhiguang Qin · 2022 · IEEE Transactions on Dependable and Secure Computing
71. An Empirical Study of Fully Black-Box and Universal Adversarial Attack for SAR Target Recognition
    Bowen Peng, Bo Peng, Shaowei Yong, Li Liu · 2022 · Remote Sensing
72. Adversarial Training for the Adversarial Robustness of EEG-Based Brain-Computer Interfaces
    Yunhuan Li, Xi Yu, Shujian Yu, Badong Chen · 2022 · Machine learning for signal processing ...
73. Robust Prototypical Few-Shot Organ Segmentation With Regularized Neural-ODEs
    Prashant Pandey, Mustafa Chasmai, Tanuj Sur, Brejesh Lall · 2023 · IEEE Transactions on Medical Imaging
74. Defending Deepfakes by Saliency-Aware Attack
    Qilei Li, Mingliang Gao, Guisheng Zhang, Wenzhe Zhai · 2023 · IEEE Transactions on Computational Social Systems
75. DeepManeuver: Adversarial Test Generation for Trajectory Manipulation of Autonomous Vehicles
    Meriel von Stein, David Shriver, Sebastian G. Elbaum · 2023 · IEEE Transactions on Software Engineering
76. Topology Preserving Compositionality for Robust Medical Image Segmentation
    Ainkaran Santhirasekaram, Mathias H. Winkler, Andrea Rockall, Ben Glocker · 2023 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
77. StratDef: Strategic defense against adversarial attacks in ML-based malware detection
    Aqib Rashid, José M. Such · 2023 · Computers & Security
78. SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation
    Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique · 2024 · IEEE Access
79. Once and for All: Universal Transferable Adversarial Perturbation against Deep Hashing-Based Facial Image Retrieval
    Long Tang, Dengpan Ye, Yunna Lv, Chuanxi Chen, Yunming Zhang · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
80. Defense Against Adversarial Attacks in Deep Learning
    Yuancheng Li, Yimeng Wang · 2018 · Applied Sciences
81. Selective Poisoning Attack on Deep Neural Networks †
    Hyun Kwon, Hyunsoo Yoon, Ki-Woong Park · 2019 · Symmetry
82. Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks
    Farnaz Behnia, Ali Mirzaeian, Mohammad Sabokrou, Saj Manoj, Tinoosh Mohsenin, Khaled N. Khasawneh, Liang Zhao, Houman Homayoun, Avesta Sasan · 2020 · International Symposium on Quality Electronic Design (ISQED)
83. Dual-Domain-Based Adversarial Defense With Conditional VAE and Bayesian Network
    Jinlin Zhu, Guohao Peng, Danwei Wang · 2020 · IEEE Transactions on Industrial Informatics
84. Audio Adversarial Examples Generation with Recurrent Neural Networks
    Kuei-Huan Chang, Po-Hao Huang, Honggang Yu, Yier Jin, Ting-Chi Wang · 2020 · Asia and South Pacific Design Automation Conference (ASP-DAC)
85. Dynamics of Complex Networks: Malware Propagation Modeling and Analysis in Industrial Internet of Things
    Li Li, Ju-fu Cui, Rui Zhang, Hui Xia, Xiangguo Cheng · 2020 · IEEE Access
86. Improving adversarial robustness of deep neural networks by using semantic information
    Lina Wang, Xingshu Chen, Rui Tang, Yawei Yue, Yi Zhu, Xuemei Zeng, Wei Wang · 2021 · Knowledge-Based Systems
87. Frequency-Tuned Universal Adversarial Perturbations
    Yingpeng Deng, Lina J. Karam · 2020 · Lecture notes in computer science
88. A data independent approach to generate adversarial patches
    Xingyu Zhou, Zhisong Pan, Yexin Duan, Jin Zhang, Shuaihui Wang · 2021 · Machine Vision and Applications
89. Universal Adversarial Perturbation of SAR Images for Deep Learning Based Target Classification
    Lulu Wang, Xiaolei Wang, Shixin Ma, Yi Zhang · 2021 · International Conference on Electronics Technology (ICET)
90. PSAT-GAN: Efficient Adversarial Attacks Against Holistic Scene Understanding
    Lin Wang, Kuk‐Jin Yoon · 2021 · IEEE Transactions on Image Processing
91. Crafting Adversarial Example to Bypass Flow-&ML- based Botnet Detector via RL
    Junnan Wang, Liu Qixu, Wu Di, Ying Dong, Xiang Cui · 2021 · International Symposium on Research in Attacks, Intrusions and Defenses (RAID)
92. Towards Interpretable Defense Against Adversarial Attacks via Causal Inference
    Min Ren, Yunlong Wang, Zhaofeng He · 2022 · Machine Intelligence Research
93. Robust Scene Text Detection for Partially Annotated Training Data
    Prateek Keserwani, Rajkumar Saini, Marcus Liwicki, Partha Pratim Roy · 2022 · IEEE Transactions on Circuits and Systems for Video Technology
94. Towards A Unified Min-Max Framework for Adversarial Exploration and Robustness
    Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin‐Yu Chen, Jiacen Xu, Makan Fardad, Bo Li · 2019 · arXiv (Cornell University)
95. RBLJAN: Robust Byte-Label Joint Attention Network for Network Traffic Classification
    Xi Xiao, Shuo Wang, Guangwu Hu, Qing Li, Kelong Mao, Xiapu Luo, Bin Zhang, Shu‐Tao Xia · 2024 · IEEE Transactions on Dependable and Secure Computing
96. A Review on Computational Low-Light Image Enhancement Models: Challenges, Benchmarks, and Perspectives
    Pallavi Singh, Ashish Kumar Bhandari · 2025 · Archives of Computational Methods in Engineering
97. Adversarial Training-Based Mean Bayesian Personalized Ranking for Recommender System
    Jianfang Wang, Pengfei Han · 2019 · IEEE Access
98. Social Recommendation with Characterized Regularization
    Chen Gao, Nian Li, Tzu-Heng Lin, Dongsheng Lin, Jun Zhang, Yong Li, Depeng Jin · 2020 · IEEE Transactions on Knowledge and Data Engineering
99. {DRMI}: A Dataset Reduction Technology based on Mutual Information for Black-box Attacks
    Yingzhe He, Guozhu Meng, Kai Chen, Xingbo Hu, Jinwen He · 2021 · USENIX Security Symposium
100. Backdoor smoothing: Demystifying backdoor attacks on deep neural networks
     Kathrin Grosse, Taesung Lee, Battista Biggio, Youngja H. Park, Michael Backes A, Ian Molloy · 2022 · Computers & Security