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Defense against adversarial attacks by low‐level image transformations

https://doi.org/10.1002/int.22258
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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inferredcites →https://doi.org/10.1007/978-3-319-93040-4_44openalex-snapshot
Randomizing SVM Against Adversarial Attacks Under Uncertainty
inferredcites →https://doi.org/10.1016/0004-3702(96)00007-0openalex-snapshot
Artificial intelligence: A modern approach
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Reduction of blocking artifacts in JPEG compressed images
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Objective assessment of the WebP image coding algorithm
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The security of machine learning in an adversarial setting: A survey
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Face identity recognition in simulated prosthetic vision is poorer than previously reported and can be improved by caricaturing
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DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks
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Learning Deep Features for Discriminative Localization
inferredcites →https://doi.org/10.1109/cvpr.2018.00191openalex-snapshot
Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser
inferredcites →https://doi.org/10.1109/cvpr.2018.00391openalex-snapshot
Taskonomy: Disentangling Task Transfer Learning
inferredcites →https://doi.org/10.1109/cvpr.2019.00624openalex-snapshot
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples
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Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation
inferredcites →https://doi.org/10.1109/ivs.2018.8500421openalex-snapshot
Simulation-based Adversarial Test Generation for Autonomous Vehicles with Machine Learning Components
inferredcites →https://doi.org/10.1109/mic.2011.112openalex-snapshot
Adversarial Machine Learning
inferredcites →https://doi.org/10.1109/sp.2017.49openalex-snapshot
Towards Evaluating the Robustness of Neural Networks
inferredcites →https://doi.org/10.1109/spw.2018.00009openalex-snapshot
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
inferredcites →https://doi.org/10.1109/tcsvt.2018.2848458openalex-snapshot
Implicit and Explicit Concept Relations in Deep Neural Networks for Multi-Label Video/Image Annotation
inferredcites →https://doi.org/10.1109/tifs.2017.2766039openalex-snapshot
Bimodal Vein Data Mining via Cross-Selected-Domain Knowledge Transfer
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Deep Learning
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Practical Black-Box Attacks against Machine Learning
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ImageNet classification with deep convolutional neural networks
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Intriguing properties of neural networks
inferredcites →https://doi.org/10.48550/arxiv.1412.6572openalex-snapshot
Explaining and Harnessing Adversarial Examples
inferredcites →https://doi.org/10.5121/ijcses.2014.5204openalex-snapshot
Jpeg Image Compression Using Discrete Cosine Transform - A Survey

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Advanced evasion attacks and mitigations on practical ML‐based phishing website classifiers
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JND‐aware robust image watermarking with tri‐directional inter‐block correlation
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Attention‐guided transformation‐invariant attack for black‐box adversarial examples
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A data‐driven adversarial examples recognition framework via adversarial feature genomes
inferred← citeshttps://doi.org/10.1002/int.22892openalex-snapshot
Attention‐guided black‐box adversarial attacks with large‐scale multiobjective evolutionary optimization
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Enhancing Fast Adversarial Training via Adaptive Self-knowledge Dynamic Guidance
inferred← citeshttps://doi.org/10.1007/978-981-99-0856-1_30openalex-snapshot
Adversarial Example Defense via Perturbation Grading Strategy
inferred← citeshttps://doi.org/10.1007/978-981-99-1639-9_41openalex-snapshot
Countering the Anti-detection Adversarial Attacks
inferred← citeshttps://doi.org/10.1007/s10207-023-00735-6openalex-snapshot
Detection of adversarial attacks based on differences in image entropy
inferred← citeshttps://doi.org/10.1007/s10489-022-03847-zopenalex-snapshot
LDN-RC: a lightweight denoising network with residual connection to improve adversarial robustness
inferred← citeshttps://doi.org/10.1016/j.csi.2021.103612openalex-snapshot
An efficient adversarial example generation algorithm based on an accelerated gradient iterative fast gradient
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Remove adversarial perturbations with linear and nonlinear image filters
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Adversarial Defense on Harmony: Reverse Attack for Robust AI Models Against Adversarial Attacks
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ADD: A Detection Method for Image-Processing Adversarial Defenses
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Adversarial Input Detection Based on Critical Transformation Robustness
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Why Accuracy is Not Enough: The Need for Consistency in Object Detection
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Differentiated Adversarial Training Method Based on Samples
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Real-time detectors for digital and physical adversarial inputs to perception systems
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Low-Pass Image Filtering to Achieve Adversarial Robustness
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Adversarial Token Attacks on Vision Transformers
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Recovering Medical Images from Adversarial Attacks: Genetic Algorithm-based Adaptive Compression (GA-AC)
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