Universal Adversarial Perturbations

Moosavi-Dezfooli, Seyed-Mohsen, Fawzi, Alhussein, Fawzi, Omar, Frossard, Pascal·2017·2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
DOI 10.1109/cvpr.2017.17

Cited by (1,005)

Items 701–800 of 1,005

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  7. Decentralized Zeroth-Order Constrained Stochastic Optimization Algorithms: Frank–Wolfe and Variants With Applications to Black-Box Adversarial Attacks
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  9. Attack-Aware Detection and Defense to Resist Adversarial Examples
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  10. Real-time, Robust and Adaptive Universal Adversarial Attacks Against Speaker Recognition Systems
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  12. Universal 3-Dimensional Perturbations for Black-Box Attacks on Video Recognition Systems
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  14. Defending Person Detection Against Adversarial Patch Attack by Using Universal Defensive Frame
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  15. Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal
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  17. Robust Pervasive Detection for Adversarial Samples of Artificial Intelligence in IoT Environments
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  18. ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System
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  19. Steganographic universal adversarial perturbations
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  21. Adversarial Examples Attack and Countermeasure for Speech Recognition System: A Survey
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  22. Detecting Adversarial Perturbations Through Spatial Behavior in Activation Spaces
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  23. Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models
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  24. Backdoor Attacks on Facial Recognition in the Physical World
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  25. Adversarial Examples on Object Recognition: A Comprehensive Survey
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  27. AdaptEdge: Targeted Universal Adversarial Attacks on Time Series Data in Smart Grids
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  29. Effect of Adversarial Examples on the Robustness of CAPTCHA
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  45. Improving Transferability of Universal Adversarial Perturbation With Feature Disruption
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  47. Trace and Detect Adversarial Attacks on CNNs Using Feature Response Maps
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  49. Open Set Adversarial Examples
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  50. A Noise-Sensitivity-Analysis-Based Test Prioritization Technique for Deep Neural Networks
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  51. Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks
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  56. Explainable and Transferable Adversarial Attack for ML-Based Network Intrusion Detectors
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  64. On the Transferability of Adversarial Attacks against Neural Text Classifier
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  76. Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks
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  77. Human-imperceptible Privacy Protection Against Machines
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  85. Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network
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  86. Targeted Adversarial Perturbations for Monocular Depth Prediction
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