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https://research.google/pubs/adversarial-attacks-in-multimodal-systems-a-practitioners-survey/ Adversarial Attacks in Multimodal Systems: A Practitioner's Survey adversarial attacks multimodal systems practitioner survey https://dspace.mit.edu/handle/1721.1/152098?show=full Temporal Dynamics-Aware Adversarial Attacks on Discrete-Time Dynamic Graph Models temporal dynamics adversarial attacks aware https://www.mdpi.com/2076-3417/12/14/7339 Empirical Perturbation Analysis of Two Adversarial Attacks: Black Box versus White Box Through the addition of humanly imperceptible noise to an image classified as belonging to a category ca, targeted adversarial attacks can lead convolutional... adversarial attacks black box empirical perturbation analysis https://live-cltc.pantheon.berkeley.edu/publication/towards-bayesian-classifiers-that-are-robust-against-adversarial-attacks/ Towards Bayesian Classifiers that are Robust Against Adversarial Attacks - CLTC Jan 18, 2023 - Abstract We aim to build neural networks that are intrinsically robust against adversarial attacks. We focus on classifying images in real-world scenarios with... adversarial attacks towards bayesian classifiers robust https://arxiv.org/abs/1902.08412 [1902.08412] Adversarial Attacks on Graph Neural Networks via Meta Learning Abstract page for arXiv paper 1902.08412: Adversarial Attacks on Graph Neural Networks via Meta Learning graph neural networks adversarial attacks https://arxiv.org/abs/2512.20712v1 [2512.20712v1] Real-World Adversarial Attacks on RF-Based Drone Detectors Abstract page for arXiv paper 2512.20712v1: Real-World Adversarial Attacks on RF-Based Drone Detectors real world adversarial attacks rf based https://research.nvidia.com/index.php/publication/2022-10_advdo-realistic-adversarial-attacks-trajectory-prediction AdvDO: Realistic Adversarial Attacks for Trajectory Prediction | Research Trajectory prediction is essential for autonomous vehicles (AVs) to plan correct and safe driving behaviors. While many prior works aim to achieve higher... adversarial attacks realistic trajectory prediction research https://arxiv.org/abs/2512.20712v4 [2512.20712v4] Real-World Adversarial Attacks on RF-Based Drone Detectors Abstract page for arXiv paper 2512.20712v4: Real-World Adversarial Attacks on RF-Based Drone Detectors real world adversarial attacks rf based https://pure.psu.edu/en/publications/adversarial-attacks-on-combinatorial-multi-armed-bandits/ Adversarial Attacks on Combinatorial Multi-Armed Bandits - Penn State adversarial attacks combinatorial multi armed bandits https://publications-cnrc.canada.ca/eng/view/object/?id=7a2b219a-09cf-4c9e-9529-aea761b12ca5 Mitigating adversarial attacks against IoT profiling - NRC Publications Archive - Canada.ca Mitigating adversarial attacks against IoT profiling adversarial attacks publications archive iot https://dev.to/aryankargwal/series/28080 Adversarial Attacks Against LLMs Series' Articles - DEV Community View Adversarial Attacks Against LLMs Series' Articles on DEV Community adversarial attacks series articles llms dev community https://www.digitalocean.com/community/tutorials/enhancing-nlp-models-against-adversarial-attacks Enhancing NLP Models for Robustness Against Adversarial Attacks: Techniques and Applications |... Learn about a variety of techniques used to keep deep learning NLP models secure. adversarial attacks enhancing nlp models robustness https://forge.engineering.asu.edu/furiproject/adversarial-attacks-in-reinforcement-learning-for-autonomous-vehicle-control/ Adversarial Attacks in Reinforcement Learning for Autonomous Vehicle Control - Fulton Forge Student... Nov 5, 2019 - Autonomous vehicles are believed to be the next disruptive technology, but there is evidence that their marriage with AI may be complicated since the current... adversarial attacks reinforcement learning https://collaborate.princeton.edu/en/publications/universal-adversarial-attacks-with-natural-triggers-for-text-clas/ Universal Adversarial Attacks with Natural Triggers for Text Classification - Princeton University adversarial attacks text classification universal natural https://pubmed.ncbi.nlm.nih.gov/32442627/ Robust image classification against adversarial attacks using elastic similarity measures between... Due to their unprecedented capacity to learn patterns from raw data, deep neural networks have become the de facto modeling choice to address complex machine... image classification adversarial attacks robust https://researchdiscovery.drexel.edu/esploro/outputs/graduate/Adversarial-attacks-and-robustness-in-deep/991014961449004721 Adversarial attacks and robustness in deep learning models and applications - Drexel University Numerous recent studies have demonstrated how deep learning (DL) classifiers can be fooled by adversarial examples, in which an attacker adds perturbations to... deep learning models adversarial attacks robustness https://data.mendeley.com/datasets/n2j4yfnt3x/1 Adversarial Attacks for Low Light Image Enhancement - Mendeley Data This dataset is an image repository that evaluates adversarial robustness by introducing 12 adversarial examples, each leveraging a known adversarial attack or... adversarial attacks low light image enhancement mendeley data https://arxiv.org/abs/2503.06269v2 [2503.06269v2] Using Mechanistic Interpretability to Craft Adversarial Attacks against Large... Abstract page for arXiv paper 2503.06269v2: Using Mechanistic Interpretability to Craft Adversarial Attacks against Large Language Models mechanistic interpretability adversarial attacks using https://hackaday.com/tag/adversarial-attacks/ Adversarial Attacks | Hackaday adversarial attacks hackaday https://cyber.harvard.edu/story/2019-03/adversarial-attacks-medical-ai-health-policy-challenge Adversarial attacks on medical AI: A health policy challenge | Berkman Klein Center Technical solutions alone aren't enough to address vulnerabilities in machine learning systems adversarial attacks medical ai https://arxiv.org/abs/1811.12641 [1811.12641] Transferable Adversarial Attacks for Image and Video Object Detection Abstract page for arXiv paper 1811.12641: Transferable Adversarial Attacks for Image and Video Object Detection image and video adversarial attacks transferable https://repository.tudelft.nl/record/uuid:e54aad2a-b7b6-4176-83f4-1e151142b00a Investigating the Transferability of TOG Adversarial Attacks in YOLO models in the Maritime Domain... adversarial attacks https://kth.diva-portal.org/smash/record.jsf?faces-redirect=true&language=sv&searchType=SIMPLE&query=&af=%5B%5D&aq=%5B%5B%5D%5D&aq2=%5B%5B%5D%5D&aqe=%5B%5D&pid=diva2%3A1621962&noOfRows=50&sortOrder=author_sort_asc&sortOrder2=title_sort_asc&onlyFullText=false&sf=all Adversarial Attacks on CFO-Based Continuous Physical Layer Authentication : A Game Theoretic Study https://research.ibm.com/publications/unravelling-robustness-of-deep-learning-based-face-recognition-against-adversarial-attacks Unravelling robustness of deep learning based face recognition against adversarial attacks for AAAI... Unravelling robustness of deep learning based face recognition against adversarial attacks for AAAI 2018 by Gaurav Goswami et al. https://research.tue.nl/en/publications/an-unknown-input-multi-observer-approach-for-estimation-and-contr-2/ An Unknown Input Multi-Observer Approach for Estimation and Control under Adversarial Attacks -... https://kth.diva-portal.org/smash/record.jsf?pid=diva2:1621962 Adversarial Attacks on CFO-Based Continuous Physical Layer Authentication : A Game Theoretic Study https://futurism.com/the-byte/ai-vaccine-block-adversarial-attacks An AI "Vaccine" Can Block Adversarial Attacks Scientists developed an AI "vaccine" that can make algorithms more resistant to hackers who launch adversarial attacks to try and confuse the systems. an ai vaccine block adversarial attacks https://arxiv.org/abs/2601.22390v1 [2601.22390v1] An Effective Energy Mask-based Adversarial Evasion Attacks against Misclassification... Abstract page for arXiv paper 2601.22390v1: An Effective Energy Mask-based Adversarial Evasion Attacks against Misclassification in Speaker Recognition Systems https://research.tue.nl/nl/publications/generation-of-false-data-injection-attacks-using-conditional-gene/ Generation of false data injection attacks using conditional generative adversarial networks -... injection attacks generation false data https://umu.diva-portal.org/smash/record.jsf?pid=diva2:1777455 Safety-critical computer vision : an empirical survey of adversarial evasion attacks and defenses... https://ieeetv.ieee.org/ondemand/ieee-icassp-2020-virtual-conference-may-2020/6396/a-study-ontransferability-of-adversarial-attacks-in-sound-event-classification A Study On The Transferability Of Adversarial Attacks In Sound Event Classification | IEEETV An adversarial attack is an algorithm that perturbs the input of a machine learning model in an intelligent way in order to change the output of the model. An... https://kth.diva-portal.org/smash/record.jsf?faces-redirect=true&language=en&searchType=SIMPLE&query=&af=%5B%5D&aq=%5B%5B%5D%5D&aq2=%5B%5B%5D%5D&aqe=%5B%5D&pid=diva2%3A1621962&noOfRows=50&sortOrder=author_sort_asc&sortOrder2=title_sort_asc&onlyFullText=false&sf=all Adversarial Attacks on CFO-Based Continuous Physical Layer Authentication : A Game Theoretic Study https://publications-cnrc.canada.ca/eng/view/object/?id=0230c851-1fc2-4dc7-8f53-b5bd46c51011 Classification and analysis of adversarial machine learning attacks in IoT: a label flipping attack... Classification and analysis of adversarial machine learning attacks in IoT: a label flipping attack case study https://nrc-publications.canada.ca/eng/view/object/?id=0230c851-1fc2-4dc7-8f53-b5bd46c51011 Classification and analysis of adversarial machine learning attacks in IoT: a label flipping attack... Classification and analysis of adversarial machine learning attacks in IoT: a label flipping attack case study https://llm-vulnerability.github.io/ ACL 2024 Tutorial: Vulnerabilities of Large Language Models to Adversarial Attacks Deformable Neural Radiance Fields creates free-viewpoint portraits (nerfies) from casually captured videos. large language models acl tutorial vulnerabilities https://publica.fraunhofer.de/entities/publication/de17e42f-87b9-4618-9c32-a56bbea9d65b Statistical Feature-Based Detection of Adversarial Noise and Patch Attacks in Image and Deepfake... Adversarial attacks pose a significant threat to the reliability and trustworthiness of machine learning systems, particularly in image classification tasks... https://experts.arizona.edu/en/publications/physical-id-transfer-attacks-against-multi-object-tracking-via-ad/ Physical ID-Transfer Attacks against Multi-Object Tracking via Adversarial Trajectory - University... https://umu.diva-portal.org/smash/record.jsf?faces-redirect=true&language=en&searchType=SIMPLE&query=&af=%5B%5D&aq=%5B%5B%5D%5D&aq2=%5B%5B%5D%5D&aqe=%5B%5D&pid=diva2%3A1777455&noOfRows=50&sortOrder=author_sort_asc&sortOrder2=title_sort_asc&onlyFullText=false&sf=all Safety-critical computer vision : an empirical survey of adversarial evasion attacks and defenses... https://kth.diva-portal.org/smash/record.jsf?pid=diva2%3A1621962 Adversarial Attacks on CFO-Based Continuous Physical Layer Authentication : A Game Theoretic Study https://arxiv.org/abs/2412.02795 [2412.02795] Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Abstract page for arXiv paper 2412.02795: Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks language navigation https://experts.arizona.edu/en/publications/fine-tuning-lasso-in-an-adversarial-environment-against-gradient-/ Fine tuning lasso in an adversarial environment against gradient attacks - University of Arizona https://research.ibm.com/publications/less-is-more-dimension-reduction-finds-on-manifold-adversarial-examples-in-hard-label-attacks Less is More: Dimension Reduction Finds On-Manifold Adversarial Examples in Hard-Label Attacks for... Less is More: Dimension Reduction Finds On-Manifold Adversarial Examples in Hard-Label Attacks for IEEE SaTML 2023 by Washington Garcia et al. https://blog.citp.princeton.edu/2022/07/19/toward-trustworthy-machine-learning-an-example-in-defending-against-adversarial-patch-attacks-2/ Toward Trustworthy Machine Learning: An Example in Defending against Adversarial Patch Attacks (2)... Jul 19, 2022 - By Chong Xiang and Prateek Mittal In our previous post, we discussed adversarial patch attacks and presented our first defense algorithm PatchGuard. The... trustworthy machine learning https://cyber.harvard.edu/story/2019-03/medical-ai-systems-could-be-vulnerable-adversarial-attacks Medical AI systems could be vulnerable to adversarial attacks | Berkman Klein Center medical machine-learning systems may be uniquely susceptible to attacks medical ai could be https://jobs.inria.fr/public/classic/fr/offres/2026-09862 2026-09862 - PhD Position F/M Mechanistic Interpretability and Problem-Space Adversarial Attacks... Offre d'emploi Inria https://par.nsf.gov/biblio/10544319-impact-white-box-adversarial-attacks-convolutional-neural-networks Impact of White-Box Adversarial Attacks on Convolutional Neural Networks. | NSF Public Access... This page contains metadata information for the record with PAR ID 10544319 convolutional neural networks https://sites.libsyn.com/54799/defending-against-adversarial-attacks-0 Data Skeptic : Defending Against Adversarial Attacks data skeptic defending adversarial attacks https://ywang393.expressions.syr.edu/2018/07/03/07-2018-one-paper-on-admm-based-adversarial-attacks-for-dnns-accepted-in-acm-multimedia-2018/ 07/2018 One paper on ADMM-based adversarial attacks for DNNs accepted in ACM Multimedia 2018. -... https://arxiv.org/abs/1807.08004 [1807.08004] Robust Resilient Signal Reconstruction under Adversarial Attacks Abstract page for arXiv paper 1807.08004: Robust Resilient Signal Reconstruction under Adversarial Attacks robust resilient signal reconstruction adversarial https://ai.northeastern.edu/news/is-99-good-enough Is 99% good enough? The importance of Adversarial Attacks in AI Models | Institute for Experiential... Even 99% accuracy isn't safe. This article explores how adversarial attacks expose critical vulnerabilities in high-performing AI systems. https://scholars.cityu.edu.hk/en/publications/adversarial-diffusion-attacks-on-graph-based-traffic-prediction-m/ Adversarial Diffusion Attacks on Graph-based Traffic Prediction Models - CityUHK Scholars prediction models adversarial diffusion attacks graph https://arxiv.org/abs/2310.10427 [2310.10427] DANAA: Towards transferable attacks with double adversarial neuron attribution Abstract page for arXiv paper 2310.10427: DANAA: Towards transferable attacks with double adversarial neuron attribution towards transferable https://its.uci.edu/research_products/conference-paper-wip-end-to-end-analysis-of-adversarial-attacks-to-automated-lane-centering-systems/ Conference Paper: WIP: End-to-End Analysis of Adversarial Attacks to Automated Lane Centering... conference paper