adversarial-machine-learning

Documents about adversarial-machine-learning

• ORGAN: Object-Centric Representation Learning Using Cycle Consistent Generative Adversarial Networks#365613Springer Nature OA
• An Adversarial Zero-Shot Learning Approach for Anomaly Detection in Multivariate IoT Traffic Data#926420arXiv (All)
• Adversarial Resilience of Poisson-Process Submodular Maximization over Matroids, and Full-Bandit Learning#974537arXiv (All)
• Perturbation: A simple and efficient adversarial tracer for representation learning in language models#998154arXiv (All)
• Reinforcement Learning Inspired Black-box Adversarial Attacks for Computer Vision#1050432arXiv (All)
• Toward Secure and Practical Machine Learning-Based Access Control: A Framework with Real-World Constraints and Adversarial Analysis#446492ODU Digital Commons
• TinySSL: Distilling Foundation Model Features for Resource-Efficient Vision#337329Figshare
• Simulating dynamic tumor contrast enhancement in breast MRI using conditional generative adversarial networks.#320533NCBI PubMed Central
• Adversarial Stress Testing of Outlier Detection in Subjective Image Quality Assessment#919783arXiv (OAI Expanded)
• Adversarial Stress Testing of Outlier Detection in Subjective Image Quality Assessment#924012arXiv (All)
• ALIBI: Adversarial Legitimacy Injection in Binary Input against LLM Malware Analyzers#1014310arXiv (All)
• Tail-Weight Control and Localized Generalization in Nearly Low-Rank Adversarial Classification#1049424arXiv (All)
• Stage-aware deep learning with adversarial data synthesis enables prospective season-scale A/H1N1 influenza forecasting in China.#440710NCBI PubMed Central
• Generative adversarial networks for enhanced performance prediction of square CFST members under axial tension.#251031NCBI PubMed Central
• Quantum latent diffusion models#284515IRIS
• Evaluating the impact of adversarial traffic patterns on vanet communication using veins simulation#609023arXiv (OAI Expanded)
• Evaluating the impact of adversarial traffic patterns on vanet communication using veins simulation#610085arXiv (All)
• Efficient generative adversarial networks using linear additive-attention Transformers#1013372arXiv (All)
• Information-Geometric Inverse Distillation for Enhancing Adversarial Transferability#1013401arXiv (All)
• Adversarial Attacks on Online Handwriting using Salience-based Temporal Editing#1036739arXiv (All)
• Phase-Truncated Frequency Ladders: Certified, Extrapolation-Robust Positional Encoding#624472Figshare
• Learning Without Adversarial Training: A Physics-Informed Neural Network for Secure Power System State Estimation under False Data Injection Attacks#974394arXiv (All)
• Synthius-Mem: Brain-Inspired Hallucination-Resistant Persona Memory Achieving 94.4% Memory Accuracy and 99.6% Adversarial Robustness on LoCoMo#10353arXiv CS
• Adversarial path planning for optimal CCTV surveillance: a case study on nuclear facility security optimization.#30502NCBI PubMed Central
• Improving Clean Accuracy via a Tangent-Space Perspective on Adversarial Training#147018arXiv (OAI)
• TriHead-GAN: A Generative Adversarial Network with Triple-Head Discriminator for Carbon Emission Time Series Generation#797532arXiv (OAI Expanded)
• TriHead-GAN: A Generative Adversarial Network with Triple-Head Discriminator for Carbon Emission Time Series Generation#798946arXiv (All)
• Watch your steps: Dormant Adversarial Behaviors that Activate upon LLM Finetuning#799861arXiv (All)
• When Does Adversarial Refinement Help? A Negative Result and Open Problem in Adapting R3GAN to Time Series Imputation#1048850arXiv (All)
• Advanced 3D Microstructure Generation of Solid Oxide Cell Electrodes Using Conditional Generative Adversarial Network and Validation Using Nonintuitive Topological Characteristics#625619Kyoto University Research Information Repository
• Advanced 3D Microstructure Generation of Solid Oxide Cell Electrodes Using Conditional Generative Adversarial Network and Validation Using Nonintuitive Topological Characteristics#625642Kyoto University Research Information Repository
• Network Attacks Detection Methods Based on Deep Learning Techniques: A Survey#200901OpenAlex
• Network and cybersecurity applications of defense in adversarial attacks: A state-of-the-art using machine learning and deep learning methods#222059Semantic Scholar
• Cutting-edge advances in AI and ML for cybersecurity: a comprehensive review of emerging trends and future directions#20563DOAJ
• MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Data#128290arXiv (OAI)
• Harnessing adversarial machine learning for advanced threat detection: AI-driven strategies in cybersecurity risk assessment and fraud prevention#134010Semantic Scholar
• Accelerating Targeted Hard-Label Adversarial Attacks in Low-Query Black-Box Settings#158718arXiv (OAI)
• Adversarial Calibration Attack on Autonomous Vehicles#789015arXiv (OAI Expanded)
• Adversarial Calibration Attack on Autonomous Vehicles#793019arXiv (All)
• On Identifying Adversarial Intent Injection in AI-Native 6G Networks#1000110arXiv (All)
• Adversarial Water-Filling: Theory, Algorithms, and a Domain-Specific Wireless Foundation Model#1034185arXiv (All)
• Deep Learning Based on Generative Adversarial and Convolutional Neural Networks for Financial Time Series Predictions#627848arXiv (OAI Expanded)
• Deep Learning Based on Generative Adversarial and Convolutional Neural Networks for Financial Time Series Predictions#629710arXiv (All)
• PAT: Privacy-Preserving Adversarial Transfer for Accurate, Robust and Privacy-Preserving EEG Decoding#139105arXiv (OAI)
• The Shape of Adversarial Influence: Characterizing LLM Latent Spaces with Persistent Homology#163141arXiv (OAI)
• Not to Break, but to Attest: Adversarial Probes for Privacy-Preserving LLM Verification#797700arXiv (OAI Expanded)
• Not to Break, but to Attest: Adversarial Probes for Privacy-Preserving LLM Verification#799123arXiv (All)
• Adversarial Training for Tabular Credit Scoring: A Multi-Attack Robustness Evaluation in P2P Lending#996756arXiv (All)
• Statistical Inference for Adversarial Training: Central Limit Theorems via Optimal Transport#1036923arXiv (All)
• Adversarial Machine Learning: Difficulties in Applying Machine Learning to Existing Cybersecurity Systems#626256OpenAIRE