adversarial-machine-learning

Documents about adversarial-machine-learning

• Bayesian Adversarial Privacy#986828arXiv (All)
• Algorithmic Analysis of Dense Associative Memory: Finite-Size Guarantees and Adversarial Robustness#13091arXiv CS
• Data-driven Reachable Set Estimation with Tunable Adversarial and Wasserstein Distributional Guarantees#13107arXiv CS
• When and Why Adversarial Training Improves PINNs: A Neural Tangent Kernel Perspective#196465arXiv CS
• Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.#317753NCBI PubMed Central
• Analisis Komparatif Algoritma Random Forest dan Support Vector Machine (SVM) dalam Memprediksi Tingkat Kepuasan Pelanggan pada Aplikasi E-Commerce#359845Figshare
• DOOM Level Generation using Generative Adversarial Networks#144154arXiv (OAI)
• Toward Optimal Second-Order Path-Length Guarantee for Adversarial Multi-Armed Bandits#617171arXiv (OAI Expanded)
• Toward Optimal Second-Order Path-Length Guarantee for Adversarial Multi-Armed Bandits#617671arXiv (All)
• Adversarial Online Classification with a Preview#790262arXiv (OAI Expanded)
• Assessing Adversarial Robustness of Latent Reasoning Models#1036911arXiv (All)
• Scale-Aware Adversarial Analysis: A Diagnostic for Generative AI in Multiscale Complex Systems#151763arXiv CS
• Stereological reconstructions of 3D cellular microstructures by combining adversarial learning and Voronoi tessellations.#185880NCBI PubMed Central
• PHANTOM: A Large-Scale Dataset of Multimodal Adversarial Attacks for Vision-Language Models#303213arXiv CS
• Enhancing EBSD throughput of battery electrode materials using super-resolution generative adversarial networks#467116arXiv CS
• Robust Market Making with Hawkes Order Flow and Price Impact via Adversarial Reinforcement Learning#1037468arXiv (All)
• Breaking the Homogeneity Assumption: Specialized Multi-Generator Adversarial Learning for Rare Failure Detection in Predictive Maintenance#386877arXiv CS
• Remote Rowhammer Attack using Adversarial Observations on Federated Learning Clients#155570arXiv (OAI)
• On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces#349649arXiv CS
• IG-GAN: A Generative Adversarial Network for Aerodynamic Data Generation Based on Intrinsic Geometry#363281arXiv CS
• Certifying Lower Bounds for Risk-Sensitive Reinforcement Learning under Adversarial State Perturbations#997841arXiv (All)
• Taming the Adversary: A Cost-to-Disturbance Ratio Approach to Adversarial Reinforcement Learning#1034709arXiv (All)
• Toward leveraging intrinsic point cloud features in 3D adversarial attacks.#122719NCBI PubMed Central
• A Holistic Review of Machine Learning Adversarial Attacks in IoT Networks#134022Semantic Scholar
• Generative adversarial networks for high-fidelity 3D point cloud completion.#154346NCBI PubMed Central
• Coloring the Noise: Adversarial Sobolev Alignment for Faithful Image Super Resolution#228179Papers With Code
• WMAttack: Automated Attack Search for Adversarial Evaluation of World-Model Agents#973184arXiv (All)
• Adversarial Resilience of Poisson-Process Submodular Maximization over Matroids: From Robust Offline Optimization to Full-Bandit Learning#447932arXiv CS
• A Confounding Factors-Inhibition Adversarial Learning Framework for Multi-site fMRI Mental Disorder Identification#147077arXiv (OAI)
• Two-Stage Reinforcement Learning for Sound and Adversarial Test Generation in Code LLMs#926815arXiv (All)
• Inverting Self-Triggered Control: Adversarial Reinforcement Learning for Sparse Denial-of-Service Attacks#999993arXiv (All)
• Near-Optimal Primal-Dual Algorithm for Learning Linear Mixture CMDPs with Adversarial Rewards#1034717arXiv (All)
• Adversarial Machine Learning Security Problems for 6G: mmWave Beam Prediction Use-Case#133951Semantic Scholar
• Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain#133986Semantic Scholar
• Adversarial machine learning: a review of methods, tools, and critical industry sectors#479899Semantic Scholar
• A Few Large Shifts: Layer-Inconsistency Based Minimal Overhead Adversarial Example Detection#820201arXiv (All)
• Masking Radar Cognition under Adversarial Surveillance: A Distributional Privacy Framework#984352arXiv (All)
• Enhancing healthcare security: Manifold-aware machine learning for robust adversarial attack detection in IoMT networks#197617Research Online
• SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems#797136arXiv (OAI Expanded)
• SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems#798549arXiv (All)
• NeuroPriv: Adversarial Representation Learning for Privacy in Wearable EEG Systems#809843arXiv (OAI Expanded)
• NeuroPriv: Adversarial Representation Learning for Privacy in Wearable EEG Systems#819839arXiv (All)
• Evaluating Realistic Adversarial Attacks against Machine Learning Models for Windows PE Malware Detection#328777Semantic Scholar
• Quantum adversarial machine learning: from classical adaptations to quantum-native methods.#351654NCBI PubMed Central
• Automated adversarial red-teaming for evaluating robustness in LLM-based recommender systems.#439005NCBI PubMed Central
• Perturbing the Phase: Analyzing Adversarial Robustness of Complex-Valued Neural Networks#1014608arXiv (All)
• Exploring Sparsity and Smoothness of Arbitrary Lp Norms in Adversarial Attacks#1014609arXiv (All)
• Privacy preserving Generative Adversarial Networks to model Electronic Health Records#423282OpenAlex
• The Super-Resolution for Renewable Resource Data (sup3r)#31534DataCite
• ORGAN: Object-Centric Representation Learning Using Cycle Consistent Generative Adversarial Networks#365613Springer Nature OA