Universal Adversarial Perturbations
Moosavi-Dezfooli, Seyed-Mohsen, Fawzi, Alhussein, Fawzi, Omar, Frossard, Pascal·2017·2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Cited by (1,005)
Items 501–600 of 1,005
- Investigating Top-k White-Box and Transferable Black-box AttackChaoning Zhang, Philipp Benz, Adil Karjauv, Jae Won Cho, Kang Zhang, In So Kweon · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- MimicGAN: Robust Projection onto Image Manifolds with Corruption MimickingRushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Peer‐Timo Bremer · 2020 · International Journal of Computer Vision
- Adversarial Attack on Deep Product Quantization Network for Image RetrievalYan Feng, Bin Chen, Tao Dai, Shu‐Tao Xia · 2020 · Proceedings of the AAAI Conference on Artificial Intelligence
- Adversarial Attacks and DefensesNinghao Liu, Mengnan Du, Ruocheng Guo, Huan Liu, Xia Hu · 2021 · ACM SIGKDD Explorations Newsletter
- Notice of Removal: AWA: Adversarial Website AdaptationAmir Mahdi Sadeghzadeh, Behrad Tajali, Rasool Jalili · 2021 · IEEE Transactions on Information Forensics and Security
- OPOM: Customized Invisible Cloak Towards Face Privacy ProtectionYaoyao Zhong, Weihong Deng · 2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- Adversarial Counterfactual Visual ExplanationsGuillaume Jeanneret, Loïc Simon, Frédéric Jurie · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- A Survey of Robustness and Safety of 2D and 3D Deep Learning Models against Adversarial AttacksYanjie Li, Bin Xie, Songtao Guo, Yuanyuan Yang, Bin Xiao · 2023 · ACM Computing Surveys
- Human and DNN Classification Performance on Images With Quality DistortionsSamuel Dodge, Lina J. Karam · 2019 · ACM Transactions on Applied Perception
- Just Noticeable Difference for Deep Machine VisionJian Jin, Xingxing Zhang, Xin Fu, Huan Zhang, Weisi Lin, Jian Lou, Yao Zhao · 2021 · IEEE Transactions on Circuits and Systems for Video Technology
- Dual-Key Multimodal Backdoors for Visual Question AnsweringMatthew Walmer, Karan Sikka, Indranil Sur, Abhinav Shrivastava, Susmit Jha · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Exploring the Devil in Graph Spectral Domain for 3D Point Cloud AttacksQianjiang Hu, Daizong Liu, Wei Hu · 2022 · Lecture notes in computer science
- TAFIM: Targeted Adversarial Attacks Against Facial Image ManipulationsShivangi Aneja, Lev Markhasin, Matthias Nießner · 2022 · Lecture notes in computer science
- Business Process Innovation with Artificial Intelligence: Levering Benefits and Controlling Operational RisksJana Koehler · 2018 · European Business & Management
- Hardware Trojan in FPGA CNN AcceleratorJing Ye, Yu Hen Hu, Xiaowei Li · 2018 · Proceedings - Asian Test Symposium/Proceedings
- The Adversarial Attack and Detection under the Fisher Information MetricChenxiao Zhao, P. Thomas Fletcher, Mixue Yu, Yaxin Peng, Guixu Zhang, Chaomin Shen · 2019 · Proceedings of the AAAI Conference on Artificial Intelligence
- Adversarial Attacks on Neural-Network-Based Soft Sensors: Directly Attack OutputXiangyin Kong, Zhiqiang Ge · 2021 · IEEE Transactions on Industrial Informatics
- Patch-based Defenses against Web Fingerprinting AttacksShawn Shan, Arjun Nitin Bhagoji, Hai-Tao Zheng, Ben Y. Zhao · 2021 · ACM Workshop on Artificial Intelligence and Security (AISec)
- Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep Object DetectorsAvishag Shapira, Alon Zolfi, Luca Demetrio, Battista Biggio, Asaf Shabtai · 2023 · IEEE Winter Conference on Applications of Computer Vision
- A state-of-the-art review on adversarial machine learning in image classificationAshish Bajaj, Dinesh Kumar Vishwakarma · 2023 · Multimedia Tools and Applications
- A comprehensive survey of robust deep learning in computer visionJia Lin Liu, Yaochu Jin · 2023 · Journal of Automation and Intelligence
- Adversarial machine learning for cybersecurity and computer vision: Current developments and challengesBowei Xi · 2020 · Wiley Interdisciplinary Reviews Computational Statistics
- Scaling Guarantees for Nearest Counterfactual ExplanationsKiarash Mohammadi, Amir-Hossein Karimi, Gilles Barthe, Isabel Valera · 2021 · Proceedings of the AAAI/ACM Conference on AI Ethics and Society
- You See What I Want You to See: Exploring Targeted Black-Box Transferability Attack for Hash-based Image Retrieval SystemsYanru Xiao, Cong Wang · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Discrete Approximations of Gaussian Smoothing and Gaussian DerivativesTony Lindeberg · 2024 · Journal of Mathematical Imaging and Vision
- Adversarial Defense based on Structure-to-Signal AutoencodersJoachim Folz, Sebastian Palacio, Joern Hees, Andreas R. Dengel · 2020 · IEEE Winter Conference on Applications of Computer Vision
- Perturbation Analysis of Learning Algorithms: Generation of Adversarial Examples From Classification to RegressionEmilio Rafael Balda, Arash Behboodi, Rudolf Mathar · 2019 · IEEE Transactions on Signal Processing
- Evaluating Resilience of Grid Load Predictions under Stealthy Adversarial AttacksXingyu Zhou, Yi Li, Carlos Barreto, Jiani Li, Péter Völgyesi, Himanshu Neema, Xenofon Koutsoukos · 2019 · Resilience Week (RWS)
- Adversarial example generation with adaptive gradient search for single and ensemble deep neural networkYatie Xiao, Chi‐Man Pun, Bo Liu · 2020 · Information Sciences
- MAG-GAN: Massive attack generator via GANJinyin Chen, Haibin Zheng, Hui Xiong, Shijing Shen, Mengmeng Su · 2020 · Information Sciences
- Man-in-the-Middle Attacks Against Machine Learning Classifiers Via Malicious Generative ModelsDerui Wang, Chaoran Li, Sheng Wen, Surya Nepal, Yang Xiang · 2020 · IEEE Transactions on Dependable and Secure Computing
- Appending Adversarial Frames for Universal Video AttackZhikai Chen, Lingxi Xie, Shanmin Pang, Yong He, Qi Chuan Tian · 2021 · IEEE Winter Conference on Applications of Computer Vision
- Cognitive data augmentation for adversarial defense via pixel maskingAkshay Agarwal, Mayank Vatsa A, Richa Singh, Nalini Ratha · 2021 · Pattern Recognition Letters
- Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative NetworksXiao Hui Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu · 2022 · Lecture notes in computer science
- A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual TrackingZhenbang Li, Yaya Shi, Jin Gang Gao, Shaoru Wang, Bing Li, Pengpeng Liang, Weiming Hu · 2021 · IEEE Transactions on Circuits and Systems for Video Technology
- Safety and Trustworthiness of Deep Neural Networks: A SurveyXiaowei Huang, Daniel Kroening, Marta Kwiatkowska, Wenjie Ruan, Youcheng Sun, Emese Thamo, Min Wu, Xinping Yi · 2018 · arXiv (Cornell University)
- Universal Adversarial Audio PerturbationsSajjad Abdoli, Luiz G. Hafemann, Jérôme Rony, Ismail Ben Ayed, Patrick Cardinal, Alessandro L. Koerich · 2019 · arXiv (Cornell University)
- MalPatch: Evading DNN-Based Malware Detection With Adversarial PatchesDazhi Zhan, Yexin Duan, Yue Hu, Weili Li, Shize Guo, Zhisong Pan · 2023 · IEEE Transactions on Information Forensics and Security
- Adversarial Attacks in Explainable Machine Learning: A Survey of Threats Against Models and HumansJon Vadillo, Roberto Santana, Jose Antonio Lozano · 2024 · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
- Exploiting the Vulnerability of Deep Learning-Based Artificial Intelligence Models in Medical Imaging: Adversarial AttacksHwiyoung Kim, Dae Chul Jung, Byoung Wook Choi · 2019 · Journal of the Korean Society of Radiology
- Harnessing the Vulnerability of Latent Layers in Adversarially Trained ModelsNupur Kumari, Mayank Singh, Abhishek Sinha, Harshitha Machiraju, Balaji Krishnamurthy, Vineeth Nallure Balasubramanian · 2019 · International Joint Conference on Artificial Intelligence
- Exploiting Joint Robustness to Adversarial PerturbationsAli Dabouei, Sobhan Soleymani, Fariborz Taherkhani, Jeremy Michael Dawson, Nasser M. Nasrabadi · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Black-box adversarial attacks by manipulating image attributesXingxing Wei, Ying Guo, Bo Hu Li · 2020 · Information Sciences
- Adversarial Perturbation on MRI Modalities in Brain Tumor SegmentationGuohua Cheng, Hongli Ji · 2020 · IEEE Access
- Adversarial Ranking Attack and DefenseMo Zhou, Zhenxing Niu, Le Wang, Qilin Zhang, Gang Hua · 2020 · Lecture notes in computer science
- Face-Off: Adversarial Face ObfuscationVarun Chandrasekaran, Chuhan Gao, Brian Tang, Kassem Fawaz, Somesh Jha, Suman Banerjee · 2021 · Proceedings on Privacy Enhancing Technologies
- Attack as defense: characterizing adversarial examples using robustnessZhe Zhao, Guangke Chen, Jingyi Wang, Yiwei Yang, Fu Song, Jun Sun · 2021 · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA)
- AdvHash: Set-to-set Targeted Attack on Deep Hashing with One Single Adversarial PatchShengshan Hu, Yechao Zhang, Xiaogeng Liu, Leo Yu Zhang, Minghui Li, Hai Jin · 2021 · ACM International Conference on Multimedia (ACM MM)
- Adversarial Self-Supervised Learning for Robust SAR Target RecognitionYanjie Xu, Hao Sun, Jin Chen, Lin Lei, Kefeng Ji, Gangyao Kuang · 2021 · Remote Sensing
- Imperceptible Adversarial Attack via Invertible Neural NetworksZihan Chen, Ziyue Wang, Junjie Huang, Wentao Zhao, Xiao Liu, Dejian Guan · 2023 · Proceedings of the AAAI Conference on Artificial Intelligence
- ADef: an Iterative Algorithm to Construct Adversarial DeformationsRima Alaifari, Giovanni S. Alberti, Tandri Gauksson · 2018 · arXiv (Cornell University)
- Robust and Generalized Physical Adversarial Attacks via Meta-GANWeiwei Feng, Nanqing Xu, Tianzhu Zhang, Baoyuan Wu, Yongdong Zhang · 2023 · IEEE Transactions on Information Forensics and Security
- European Artificial Intelligence Act: an AI security approachKonstantinos Kalodanis, Panagiotis Rizomiliotis, Dimosthenis Anagnostopoulos · 2023 · Information and Computer Security
- Energy-Efficient Resource Allocation in Generative AI-Aided Secure Semantic Mobile NetworksJie Zheng, Baoxia Du, Hongyang Du, Jiawen Kang, Dusit Tao Niyato, Haijun Zhang · 2024 · IEEE Transactions on Mobile Computing
- Formal Analysis of Deep Binarized Neural NetworksNina Narodytska · 2018 · International Joint Conference on Artificial Intelligence
- BACKDOOR ATTACKS ON NEURAL NETWORK OPERATIONSJoseph Clements, Yingjie Lao · 2018 · IEEE Global Conference on Signal and Information Processing
- Mimic and Fool: A Task-Agnostic Adversarial AttackAkshay Chaturvedi, Utpal Garain · 2020 · IEEE Transactions on Neural Networks and Learning Systems
- Deceiving Image-to-Image Translation Networks for Autonomous Driving With Adversarial PerturbationsLin Wang, Wonjune Cho, Kuk-Jin Yoon · 2020 · IEEE Robotics and Automation Letters
- Camera Exposure Control for Robust Robot Vision with Noise-Aware Image Quality AssessmentUkcheol Shin, Jinsun Park, Gyumin Shim, François Rameau, In So Kweon · 2019 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
- Enhanced robustness of convolutional networks with a push–pull inhibition layerNicola Strisciuglio, Manuel López-Antequera, Nicolai Petkov · 2020 · Neural Computing and Applications
- Making Adversarial Examples More Transferable and IndistinguishableJunhua Zou, Yexin Duan, Boyu Li, Wu Zhang, Pan Yu, Zhisong Pan · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
- Low-light image enhancement based on deep learning: a surveyYong Wang, Wenjie Xie, Hongqi Liu · 2022 · Optical Engineering
- Untargeted white-box adversarial attack to break into deep learning based COVID-19 monitoring face mask detection systemSheikh Burhan Ul Haque, Aasim Zafar · 2023 · Multimedia Tools and Applications
- AdvDDoS: Zero-Query Adversarial Attacks Against Commercial Speech Recognition SystemsYunjie Ge, Lingchen Zhao, Qian Wang, Yiheng Duan, Minxin Du · 2023 · IEEE Transactions on Information Forensics and Security
- DeepSeaNet: Improving Underwater Object Detection using EfficientDetSanyam Jain · 2024 · International Conference on Applied Artificial Intelligence (ICAPAI)
- Resurrecting Old Classes with New Data for Exemplar-Free Continual LearningDipam Goswami, Albin Soutif--Cormerais, Yuyang Liu, Sandesh Kamath, Bartłomiej Twardowski, Joost van de Weijer · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Show-and-Fool: Crafting Adversarial Examples for Neural Image Captioning.Hongge Chen, Huan Zhang, Pin‐Yu Chen, Jinfeng Yi, Cho‐Jui Hsieh · 2017
- Defeating Untrustworthy Testing Parties: A Novel Hybrid Clustering Ensemble Based Golden Models-Free Hardware Trojan Detection MethodMingfu Xue, Rongzhen Bian, Weiqiang Liu, Jian Wang · 2018 · IEEE Access
- Artificial Intelligence Security in 5G Networks: Adversarial Examples for Estimating a Travel Time TaskJing Qiu, Lei Du, Yuanyuan Chen, Zhihong Tian, Xiaojiang Du, Mohsen Guizani · 2020 · IEEE Vehicular Technology Magazine
- FineFool: A novel DNN object contour attack on image recognition based on the attention perturbation adversarial techniqueJinyin Chen, Haibin Zheng, Hui Xiong, Ruoxi Chen, Tianyu Du, Zhen Hong, Shouling Ji · 2021 · Computers & Security
- Attack to Fool and Explain Deep NetworksNaveed Akhtar, Mohammad A. A. K. Jalwana, Mohammed Bennamoun, Ajmal Saeed Mian · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- Transferable face image privacy protection based on federated learning and ensemble modelsJingjing Yang, Jiaxing Liu, Runkai Han, Jinzhao Wu · 2021 · Complex & Intelligent Systems
- Towards Robust General Medical Image SegmentationLaura Alexandra Daza, Juan C. Pérez, Pablo Arbeláez · 2021 · Lecture notes in computer science
- PremiUm-CNN: Propagating Uncertainty Towards Robust Convolutional Neural NetworksDimah Dera, Nidhal Carla Bouaynaya, Ghulam Rasool, Roman Shterenberg, Hassan M. Fathallah‐Shaykh · 2021 · IEEE Transactions on Signal Processing
- Conditional Generative Adversarial Networks with Adversarial Attack and Defense for Generative Data AugmentationFrancis Baek, Daeho Kim, Somin Park, Hyoungkwan Kim, Sang Hyun Lee · 2022 · Journal of Computing in Civil Engineering
- Learning Universal Adversarial Perturbation by Adversarial ExampleMaosen Li, Yanhua Yang, Kun Wei, Xu Yang, Heng Huang · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
- Get Your Foes Fooled: Proximal Gradient Split Learning for Defense Against Model Inversion Attacks on IoMT DataSunder Ali Khowaja, Ik Hyun Lee, Kapal Dev, Muhammad Aslam Jarwar, Nawab Muhammad Faseeh Qureshi · 2022 · IEEE Transactions on Network Science and Engineering
- Adversarial Mask: Real-World Universal Adversarial Attack on Face Recognition ModelsAlon Zolfi, Shai Avidan, Yuval Elovici, Asaf Shabtai · 2023 · Lecture notes in computer science
- Adversarial examples based on object detection tasks: A surveyJian‐Xun Mi, Xu-Dong Wang, Lifang Zhou, Kun Cheng · 2022 · Neurocomputing
- Detecting adversarial example attacks to deep neural networksFabio Carrara, Fabrizio Falchi, Roberto Caldelli, Giuseppe M. Amato, Roberta Fumarola, Rudy Becarelli · 2017 · International Workshop on Content-Based Multimedia Indexing (CBMI)
- Channel-Robust Class-Universal Spectrum-Focused Frequency Adversarial Attacks on Modulated Classification ModelsSicheng Zhang, Jiangzhi Fu, Jiarun Yu, Huaitao Xu, Haoran Zha, Shiwen Mao, Yun Lin · 2024 · IEEE Transactions on Cognitive Communications and Networking
- Multi-Object Tracking in the DarkXinzhe Wang, Kang Ma, Qiankun Liu, Yunhao Zou, Ying Fu · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Safeguarding connected autonomous vehicle communication: Protocols, intra- and inter-vehicular attacks and defensesMohammed Aledhari, Rehma Razzak, Mohamed Rahouti, Abbas Yazdinejad, Reza M. Parizi, Basheer Qolomany, Mohsen Guizani, Junaid Qadir, Ala Al‐Fuqaha · 2025 · Computers & Security
- Moving target defense for embedded deep visual sensing against adversarial examplesQun Song, Zhenyu Yan, Rui Tan · 2019 · ACM Conference on Embedded Networked Sensor Systems (SenSys)
- Adversarial attacks on machine learning systems for high-frequency tradingMicah Goldblum, Avi Schwarzschild, Ankit Patel, Tom Goldstein · 2021 · ACM International Conference on AI in Finance (ICAIF)
- DNNGuard: An Elastic Heterogeneous DNN Accelerator Architecture against Adversarial AttacksXingbin Wang, Rui Hou, Boyan Zhao, Fengkai Yuan, Jun Zhang, Dan Meng, Xuehai Qian · 2020 · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)
- Generalized wireless adversarial deep learningFrancesco Restuccia, Salvatore D’Oro, Amani Al-Shawabka, Bruno Costa Rendon, Kaushik Roy Chowdhury, Stratis Ioannidis, Tommaso Melodia · 2020 · ACM Workshop on Wireless Security and Machine Learning (WiseML)
- Multi-Class Data Description for Out-of-distribution DetectionDongha Lee, Sehun Yu, Hwanjo Yu · 2020 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
- Selectivity and robustness of sparse coding networksDylan M. Paiton, Charles G. Frye, Sheng Y. Lundquist, Joel D. Bowen, Ryan V. Zarcone, Bruno A. Olshausen · 2020 · Journal of Vision
- An Empirical Study on the Relation Between Network Interpretability and Adversarial RobustnessAdam Noack, Isaac Ahern, Dejing Dou, Boyang Li · 2021 · SN Computer Science
- Beyond Universal Person Re-Identification AttackWenjie Ding, Xing Wei, Rongrong Ji, Xiaopeng Hong, Qi Chuan Tian, Yihong Gong · 2021 · IEEE Transactions on Information Forensics and Security
- Exposing Vulnerabilities of Deepfake Detection Systems with Robust AttacksShehzeen Hussain, Paarth Neekhara, Brian Dolhansky, Joanna Bitton, Cristian Canton Ferrer, Julian McAuley, Farinaz Koushanfar · 2021 · Digital Threats Research and Practice
- On the Adversarial Robustness of LASSO Based Feature SelectionFuwei Li, Lifeng Lai, Shuguang Robert Cui · 2021 · IEEE Transactions on Signal Processing
- Toward Data Integrity Architecture for Cloud-Based AI SystemsElizabeth Nathania Witanto, Yustus Eko Oktian, Sang-Gon Lee · 2022 · Symmetry
- Object tracking and detection techniques under GANN threats: A systemic reviewSaeed Matar Al Jaberi, Asma Patel, Ahmed N. AL-Masri · 2023 · Applied Soft Computing
- Adversarial Perturbation Attacks on ML-based CADKang Liu, Haoyu Yang, Yuzhe Ma, Benjamin Tan, Bei Yu, Evangeline F. Y. Young, Ramesh Karri, Siddharth Garg · 2020 · ACM Transactions on Design Automation of Electronic Systems
- A survey on Adversarial Attacks and Defenses in Text.Wenqi Wang, Benxiao Tang, Run Wang, Lina Wang, Aoshuang Ye · 2019 · arXiv (Cornell University)
- Dynamic Adversarial Patch for Evading Object Detection ModelsShahar Hoory, Tzvika Shapira, Asaf Shabtai, Yuval Elovici · 2020 · arXiv (Cornell University)
- A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network InferenceSanghyun Hong, Yiğitcan Kaya, Ionuț-Vlad Modoranu, Tudor Dumitraş · 2020 · arXiv (Cornell University)
- Adversarial Attacks on Black Box Video Classifiers: Leveraging the Power of Geometric TransformationsShasha Li, Abhishek Aich, Shitong Zhu, M. Salman Asif, Chengyu Song, Amit K. Roy–Chowdhury, Srikanth V. Krishnamurthy · 2021 · arXiv (Cornell University)