Universal Adversarial Attacks on the Raw Data From a Frequency Modulated Continuous Wave Radar
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3218349
Abstract: As more and more applications rely on Artificial Intelligence (AI), it is inevitable to explore the associated safety and security risks, especially for sensitive applications where physical integrity is at risk. One of the most… read more here.
Keywords: data frequency; adversarial attacks; universal adversarial; radar ... See more keywords
Robust Universal Adversarial Perturbation Attacks on Renewable Energy Forecasting
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DOI: 10.1109/jiot.2025.3558522
Abstract: Recent advances reveal that renewable energy forecasting (REF) models, particularly AI-driven approaches, may be vulnerable to adversarial attacks, potentially inducing substantial forecasting errors and disrupting power system operations. However, existing studies focused only on customized… read more here.
Keywords: universal adversarial; adversarial perturbation; energy forecasting; renewable energy ... See more keywords
Fast Locally Optimal Detection of Targeted Universal Adversarial Perturbations
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2022.3169922
Abstract: This paper proposes a locally-optimal generalized likelihood ratio test (LO-GLRT) for detecting targeted attacks on a classifier, where the attacks add a norm-bounded targeted universal adversarial perturbation (UAP) to the classifier’s input. The paper includes… read more here.
Keywords: glrt; universal adversarial; locally optimal; detection ... See more keywords
No-Box Universal Adversarial Perturbations Against Image Classifiers via Artificial Textures
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2024.3478828
Abstract: Recent advancements in adversarial attack research have seen a transition from white-box to black-box and even no-box threat models, greatly enhancing the practicality of these attacks. However, existing no-box attacks focus on instance-specific perturbations, leaving… read more here.
Keywords: adversarial perturbations; texture; threat; texture adv ... See more keywords
Frequency-Tuned Universal Adversarial Attacks on Texture Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3202366
Abstract: Although deep neural networks (DNNs) have been shown to be susceptible to image-agnostic adversarial attacks on natural image classification problems, the effects of such attacks on DNN-based texture recognition have yet to be explored. As… read more here.
Keywords: adversarial attacks; frequency; texture recognition; universal adversarial ... See more keywords
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2020.3033291
Abstract: Adversarial attacks on deep neural networks (DNNs) have been found for several years. However, the existing adversarial attacks have high success rates only when the information of the victim DNN is well-known or could be… read more here.
Keywords: attention; dataset damagenet; damagenet; attack attention ... See more keywords
AdaptEdge: Targeted Universal Adversarial Attacks on Time Series Data in Smart Grids
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2024.3384208
Abstract: Deep learning (DL) has emerged as a key technique in smart grid operations for task classification of power quality disturbances (PQDs) nomenclature PQDsPower Quality Disturbances. Even though these models have considerably improved the efficiency of… read more here.
Keywords: targeted universal; time series; time; universal adversarial ... See more keywords
Bridging the gap between individual and universal adversarial perturbations
Sign Up to like & getrecommendations! Published in 2025 at "China Communications"
DOI: 10.23919/jcc.fa.2024-0040.202509
Abstract: In recent years, universal adversarial perturbation (UAP) has attracted the attention of many researchers due to its good generalization. However, in order to generate an appropriate UAP, current methods usually require either accessing the original… read more here.
Keywords: adversarial perturbations; uap; gap individual; universal adversarial ... See more keywords