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https://openreview.net/forum?id=gO60SSGOMy Content-based Unrestricted Adversarial Attack | OpenReview Unrestricted adversarial attacks typically manipulate the semantic content of an image (e.g., color or texture) to create adversarial examples that are both... content based adversarial attack unrestricted openreview https://openreview.net/forum?id=SklTQCNtvS Sign-OPT: A Query-Efficient Hard-label Adversarial Attack | OpenReview We study the most practical problem setup for evaluating adversarial robustness of a machine learning system with limited access: the hard-label black-box... adversarial attack sign opt query efficient https://aclanthology.org/2023.ccl-1.72/ Training NLI Models Through Universal Adversarial Attack - ACL Anthology Jieyu Lin, Wei Liu, Jiajie Zou, Nai Ding. Proceedings of the 22nd Chinese National Conference on Computational Linguistics. 2023. adversarial attack training nli models universal https://aclanthology.org/2024.findings-eacl.83/ Random Smooth-based Certified Defense against Text Adversarial Attack - ACL Anthology Zeliang Zhang, Wei Yao, Susan Liang, Chenliang Xu. Findings of the Association for Computational Linguistics: EACL 2024. 2024. adversarial attack random smooth based certified https://deepai.org/publication/critical-checkpoints-for-evaluating-defence-models-against-adversarial-attack-and-robustness Critical Checkpoints for Evaluating Defence Models Against Adversarial Attack and Robustness |... Feb 18, 2022 - 02/18/22 - From past couple of years there is a cycle of researchers proposing a defence model for adversaries in machine learning which is a... adversarial attack critical checkpoints evaluating defence https://hackread.com/optical-adversarial-attack-low-cost-projector-trick-ai/ 'Optical Adversarial Attack' uses low-cost projector to trick AI Aug 17, 2021 - In the latest, we have another piece of research that deals with strikingly similar details but incorporating the trickery of Artificial Intelligence (AI). adversarial attack low cost optical uses projector 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... a game vulnerability analysis adversarial attack theoretical deepai https://openreview.net/forum?id=Slt9waUI6F Near Optimal Adversarial Attack on UCB Bandits | OpenReview I study a stochastic multi-arm bandit problem where rewards are subject to adversarial corruption. At each round, the learner chooses an arm, and a stochastic... adversarial attack near optimal ucb bandits https://openreview.net/forum?id=niCzJh1cbP TrackPGD: Efficient Adversarial Attack using Object Binary Masks against Robust Transformer... Adversarial perturbations can deceive neural networks by adding small, imperceptible noise to the input. Recent object trackers with transformer backbones have... adversarial attack efficient using https://openreview.net/forum?id=VuC8RRTOn1&referrer=%5Bthe%20profile%20of%20Tong%20Xu%5D(%2Fprofile%3Fid%3D~Tong_Xu2) Adversarial Attack and Defense on Discrete Time Dynamic Graphs | OpenReview Graph learning methods have achieved remarkable performance in various domains such as social recommendation, financial fraud detection, and so on. In real... adversarial attack discrete time dynamic graphs defense openreview 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... semantic image segmentation adversarial attack fast category hidden 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://deepai.org/publication/simple-and-efficient-partial-graph-adversarial-attack-a-new-perspective Simple and Efficient Partial Graph Adversarial Attack: A New Perspective | DeepAI Aug 15, 2023 - 08/15/23 - As the study of graph neural networks becomes more intensive and comprehensive, their robustness and security have received great ... a new perspective adversarial attack simple efficient partial https://www.kaggle.com/c/nips-2017-non-targeted-adversarial-attack NIPS 2017: Non-targeted Adversarial Attack | Kaggle Imperceptibly transform images in ways that fool classification models adversarial attack nips 2017 non targeted https://bitcoinmagazine.com/technical/adversarial-thinking-for-attacks-on-bitcoin Adversarial Thinking And Ways To Attack Bitcoin Oct 1, 2025 - A group of Bitcoin Core developers discussed various attack vectors for Bitcoin as well as ways to plan ahead and circumvent nefarious actors. ways to adversarial thinking attack bitcoin https://arxiv.org/abs/2206.10988v1 [2206.10988v1] AdvSmo: Black-box Adversarial Attack by Smoothing Linear Structure of Texture Abstract page for arXiv paper 2206.10988v1: AdvSmo: Black-box Adversarial Attack by Smoothing Linear Structure of Texture https://deepai.org/publication/the-attack-generator-a-systematic-approach-towards-constructing-adversarial-attacks The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks | DeepAI Jun 17, 2019 - 06/17/19 - Most state-of-the-art machine learning (ML) classification systems are vulnerable to adversarial perturbations. As a consequence, ... the attack systematic approach adversarial attacks generator https://arxiv.org/abs/2112.04154 [2112.04154] SNEAK: Synonymous Sentences-Aware Adversarial Attack on Natural Language Video... Abstract page for arXiv paper 2112.04154: SNEAK: Synonymous Sentences-Aware Adversarial Attack on Natural Language Video Localization https://openreview.net/forum?id=8ERo4jph0A&referrer=%5Bthe%20profile%20of%20Haomin%20Zhuang%5D(%2Fprofile%3Fid%3D~Haomin_Zhuang1) Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data | OpenReview Research on adversarial robustness has predominantly focused on continuous inputs, leaving categorical inputs, especially tabular attributes, less examined. To... categorical data attack free evaluating enhancing https://openreview.net/forum?id=H3GVSl0J3D&referrer=%5Bthe%20profile%20of%20Yuntian%20Chen%5D(%2Fprofile%3Fid%3D~Yuntian_Chen1) Discrete Point-wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face... Classical adversarial attacks for Face Recognition (FR) models typically generate discrete examples for target identity with a single state image. However,... discrete point not enough https://openreview.net/forum?id=lZgORA63ew Discrete Latent Features Ablate Adversarial Attack: A Robust Prompt Tuning Framework for VLMs |... While adversarial fine-tuning can enhance the robustness of vision-language models (VLMs), such approaches are computationally expensive. Adversarial prompt...