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 201–300 of 1,005
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- Adversarial attacks on an oblivious recommenderChristakopoulou, Konstantina, Banerjee, Arindam · 2019 · Proceedings of the 13th ACM Conference on Recommender Systems
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- Rethinking the Trigger of Backdoor AttackYiming Li, Tongqing Zhai, Baoyuan Wu, Yong Jiang, Zhifeng Li, Shu‐Tao Xia · 2020 · arXiv (Cornell University)
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- Backdooring Convolutional Neural Networks via Targeted Weight PerturbationsJacob Dumford, Walter J. Scheirer · 2020 · IEEE International Joint Conference on Biometrics (IJCB)
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- Adversarial Reprogramming of Neural NetworksGamaleldin F. Elsayed, Ian Goodfellow, Jascha Sohl‐Dickstein · 2018 · arXiv (Cornell University)
- Interpreting Adversarial Examples in Deep Learning: A ReviewSicong Han, Chenhao Lin, Chao Qun Shen, Qian Wang, Xiaohong Guan · 2023 · ACM Computing Surveys
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- Universal Adversarial Perturbation via Prior Driven Uncertainty ApproximationLiu, Hong, Ji, Rongrong, Li, Jie, Zhang, Baochang, Gao, Yue, Wu, Yongjian, Huang, Feiyue · 2019 · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
- Semantic Adversarial Attacks: Parametric Transformations That Fool Deep ClassifiersAmeya Joshi, Amitangshu Mukherjee, Soumik Sarkar, Chinmay Hegde · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
- Physical Adversarial Attacks on an Aerial Imagery Object DetectorAndrew Du, Bo Chen, Tat-Jun Chin, Yee Wei Law, Michele Sasdelli, Ramesh Rajasegaran, D. T. Campbell · 2022 · IEEE Winter Conference on Applications of Computer Vision
- Practical Blind Membership Inference Attack via Differential ComparisonsBo Hui, Yuchen Yang, Haolin Yuan, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao · 2021 · Network and Distributed System Security Symposium
- Toward Open-World Electroencephalogram Decoding Via Deep Learning: A comprehensive surveyXun Chen, Chang Li, Aiping Liu, Martin J. McKeown, Ruobing Qian, Z. Jane Wang · 2022 · IEEE Signal Processing Magazine
- EVAA—Exchange Vanishing Adversarial Attack on LiDAR Point Clouds in Autonomous VehiclesChalavadi Vishnu, Jayesh Khandelwal, Chalavadi Krishna Mohan, Linga Reddy Cenkeramaddi · 2023 · IEEE Transactions on Geoscience and Remote Sensing
- An Overview of Backdoor Attacks Against Deep Neural Networks and Possible DefencesGuo, Wei, Tondi, Benedetta, Barni, Mauro · 2022 · IEEE Open Journal of Signal Processing
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- Adversarial examples: attacks and defenses in the physical worldHuali Ren, Teng Huang, Hongyang Yan · 2021 · International Journal of Machine Learning and Cybernetics
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- Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in ImagesTribhuvanesh Orekondy, Mario Fritz, Bernt Schiele · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Heuristic Black-Box Adversarial Attacks on Video Recognition ModelsZhipeng Wei, Jingjing Chen, Xingxing Wei, Linxi Jiang, Tat‐Seng Chua, Fengfeng Zhou, Yu–Gang Jiang · 2020 · Proceedings of the AAAI Conference on Artificial Intelligence
- Adversarial Machine LearningYevgeniy Vorobeychik, Murat Kantarcıoğlu · 2018 · Synthesis lectures on artificial intelligence and machine learning
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- Adversarial Attacks Against Face Recognition: A Comprehensive StudyFatemeh Vakhshiteh, Ahmad Nickabadi, Raghavendra Ramachandra · 2021 · IEEE Access
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