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https://researchwith.stevens.edu/en/publications/a-sentence-level-text-adversarial-attack-algorithm-against-iiot-b/ A sentence-level text adversarial attack algorithm against IIoT based smart grid - Stevens... adversarial attack smart grid sentence level text https://openreview.net/forum?id=BkgzniCqY7 Structured Adversarial Attack: Towards General Implementation and Better Interpretability |... When generating adversarial examples to attack deep neural networks (DNNs), Lp norm of the added perturbation is usually used to measure the similarity between... adversarial attack structured towards general implementation https://pure.nwpu.edu.cn/en/publications/timbre-reserved-adversarial-attack-in-speaker-identification/ Timbre-Reserved Adversarial Attack in Speaker Identification - Northwestern Polytechnical University adversarial attack speaker identification timbre reserved northwestern https://digitalcommons.odu.edu/engtech_fac_pubs/166/ "Defensive Distillation-Based Adversarial Attack Mitigation Method for " by Ferhat Ozgur Catak,... Future wireless networks (5G and beyond), also known as Next Generation or NextG, are the vision of forthcoming cellular systems, connecting billions of... adversarial attack defensive distillation based mitigation https://deepai.org/publication/a-game-theoretical-vulnerability-analysis-of-adversarial-attack A Game Theoretical vulnerability analysis of Adversarial Attack | DeepAI Oct 13, 2022 - 10/13/22 - In recent times deep learning has been widely used for automating various security tasks in Cyber Domains. However, adversaries ma... vulnerability analysis adversarial attack game theoretical deepai https://www.kaggle.com/c/nips-2017-defense-against-adversarial-attack NIPS 2017: Defense Against Adversarial Attack | Kaggle Create an image classifier that is robust to adversarial attacks adversarial attack nips defense kaggle https://lore.list.lu/dataset.xhtml?persistentId=perma:LIST.XTLMXK MUTEN: Mutant-Based Ensembles for Boosting Gradient-Based Adversarial Attack [* Cross-Reference *]... Sep 26, 2025 - Mutation testing (MT) for deep learning (DL) has gained huge attention in the past few years. However, how MT can really help DL is still unclear. In this... adversarial attack cross reference mutant based ensembles https://www.practical-devsecops.com/glossary/adversarial-attack/ Adversarial Attack: What It Is and Why AI Systems Are Vulnerable Jan 30, 2026 - Learn what adversarial attacks are, how they trick AI models with manipulated inputs, and apply practical defense strategies. what it is adversarial attack why ai systems vulnerable https://liner.com/review/rfla-stealthy-reflected-light-adversarial-attack-in-physical-world RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical World [Quick Review] Regarding this ICCV 2023 paper, this review summarizes RFLA, a stealthy reflected light adversarial attack achieving high success rates in physical world c... reflected light adversarial attack physical world quick review stealthy https://papers.cool/venue/Lu_Hard_No-Box_Adversarial_Attack_on_Skeleton-Based_Human_Action_Recognition_with@ICCV2023@CVF Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with... Recently, methods for skeleton-based human activity recognition have been shown to be vulnerable to adversarial attacks. However, these attack methods require... no box adversarial attack human action hard skeleton https://www.atlantis-press.com/journals/ijcis/125958277 Fast Category-Hidden Adversarial Attack Against Semantic Image Segmentation | Atlantis Press In semantic segmentation, category-hidden attack is a malicious adversarial attack which manipulates a specific category without affecting the recognition of... adversarial attack image segmentation atlantis press fast category https://scholarwolf.unr.edu/entities/thesis/5959b476-3739-4b39-a307-c3f5088df38e Detecting and Mitigating Adversarial Attack Automating arrhythmia detection from ECG requires a robust and trusted system that retains high accuracy under electrical disturbances. Deep neural networks... adversarial attack detecting https://aisecurity-portal.org/en/literature-database/the-adversarial-attack-and-detection-under-the-fisher-information-metric/ The Adversarial Attack and Detection under the Fisher Information Metric | AI Security Portal adversarial attack fisher information ai security detection metric https://pure.dongguk.edu/en/publications/towards-undetectable-adversarial-attack-on-time-series-classifica/ Towards undetectable adversarial attack on time series classification - Dongguk University adversarial attack on time towards undetectable series https://www.propulsiontechjournal.com/index.php/journal/article/view/10720 Enhancing Adversarial Attack Detection: Insights from Ensemble Learning, Deep Dyna-Q, and VARMAx... adversarial attack ensemble learning enhancing detection insights https://pure.seoultech.ac.kr/en/publications/priest-adversarial-attack-detection-techniques-for-signal-injecti/ Priest: Adversarial Attack Detection Techniques for Signal Injection Attacks - Seoul National... adversarial attack injection attacks priest detection techniques https://unbscholar.lib.unb.ca/items/e3d070c1-3d3c-466d-88ba-1b3117dee9fe An adversarial attack framework for deep learning-based NIDS Intrusion detection systems are essential to any cybersecurity architecture, as they play a critical role in defending networks against various security... adversarial attack deep learning framework based nids https://cris.fbk.eu/handle/11582/367207 CPAD: Constraint-Projected Adversarial Attack for Dependable Network Intrusion Detection network intrusion detection adversarial attack cpad constraint projected https://digital.library.adelaide.edu.au/items/130a53e1-cab1-4b63-a596-b35f07467c67 Brusleattack: a query-efficient scorebased black-box sparse adversarial attack We study the unique, less-well understood problem of generating sparse adversarial samples simply by observing the score-based replies to model queries. Sparse... black box adversarial attack query efficient sparse https://www.ijcai.org/proceedings/2022/108 Cluster Attack: Query-based Adversarial Attacks on Graph with Graph-Dependent Priors | IJCAI Electronic proceedings of IJCAI 2022 cluster attack query based adversarial https://experts.boisestate.edu/en/publications/a-new-attack-surface-xai-guided-adversarial-comment-generation-wi/ A New Attack Surface: XAI-guided Adversarial Comment Generation with LLMs to Attack Fake News... attack surface fake news xai guided adversarial