adversarial-machine-learning

Documents about adversarial-machine-learning

• Adversarial Machine Learning: Difficulties in Applying Machine Learning to Existing Cybersecurity Systems#199298OpenAlex
• Adversarial machine learning#18336Wikipedia
• Wild patterns: Ten years after the rise of adversarial machine learning#199571OpenAlex
• A Survey of Game Theoretic Approaches for Adversarial Machine Learning in Cybersecurity Tasks#671856OpenAlex
• Neither Adversarial Training Nor Purification: Emergent Adversarial Robustness from Oscillatory Predictive Learning#668059arXiv CS
• Functionality-Preserving Adversarial Machine Learning for Robust Classification in Cybersecurity and Intrusion Detection Domains: A Survey#199273OpenAlex
• Functionality-preserving Adversarial Machine Learning For Robust Classification In Cybersecurity And Intrusion Detection Domains: A Survey#199368OpenAlex
• Artificial Intelligence-Powered Cyber Attacks: Adversarial Machine Learning#178253Crossref
• Continuous Adversarial Flow Models#10358arXiv CS
• A Comprehensive Survey of Generative Adversarial Networks (GANs) in Cybersecurity Intrusion Detection#671632OpenAlex
• Neither Adversarial Training Nor Purification: Emergent Adversarial Robustness from Oscillatory Predictive Learning#986014arXiv (All)
• A Survey of Privacy Attacks in Machine Learning#400351OpenAlex
• Duality for the Adversarial Total Variation#120507arXiv CS
• Improving Certified Robustness via Adversarial Distillation#324909arXiv CS
• GeoDetect: Geometric Adversarial Detection for VLPs#373408arXiv CS
• Robustness of ai-driven histopathology under real-world adversarial examples#405392Digital Commons @ NJIT
• Generative adversarial networks#6467OpenAlex
• Generalised Eigenvalue Geometry of Semantic Adversarial Attacks#287132arXiv CS
• Robust Bayesian Decision Making under Adversarial Uncertainty#353055arXiv CS
• RL-FAT: Reinforcement Learning for Fair Adversarial Training#790038arXiv (OAI Expanded)
• RL-FAT: Reinforcement Learning for Fair Adversarial Training#794057arXiv (All)
• "Are Adversarial Phishing Webpages a Threat in Reality?" Understanding the Users' Perception of Adversarial Webpages#644276IRIS
• A Machine Learning Framework for Detecting and Mitigating Adversarial Prompt Attacks in Large Language Models#402307HAL (France)
• Explaining and Harnessing Adversarial Examples#6539OpenAlex
• Confusion-Geometry Rebalancing for Long-Tailed Adversarial Training#441805arXiv CS
• Guided Adversarial Robust Transfer Learning with Source Mixing#999617arXiv (All)
• Learning Stock Trading Policies via Barycenter-Based Adversarial Inverse Reinforcement Learning#616409arXiv (OAI Expanded)
• Learning Stock Trading Policies via Barycenter-Based Adversarial Inverse Reinforcement Learning#616909arXiv (All)
• Defending Quantum Classifiers against Adversarial Perturbations through Quantum Autoencoders#146910arXiv CS
• Scan-wise generalized PET denoising with contrastive adversarial learning.#322981NCBI PubMed Central
• CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks#432510arXiv CS
• Correction to: Adversarial Machine Learning Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence#10807Crossref
• Adversarial Machine Learning for 5G Communications Security#134034Semantic Scholar
• Quantum Adversarial Machine Learning and Defense Strategies: Challenges and Opportunities#139106arXiv (OAI)
• Online combinatorial optimization with stochastic decision sets and adversarial losses#141510arXiv CS
• Detecting Fluent Optimization-Based Adversarial Prompts via Sequential Entropy Changes#204800arXiv CS
• Adversarial Dual On-Policy Distillation from Expressive Flow-based Teacher#229508arXiv CS
• Adversarial Attacks on Online Handwriting using Salience-based Temporal Editing#366279arXiv CS
• Automated Synthesis and Adversarial Validation of Executable Causal Research Pipelines#394425arXiv CS
• An Efficient Near-Optimal Algorithm for Adversarial $m$-Set Bandits#447923arXiv CS
• DART: Distributional Adversarial Recurrent Training for Algorithm Learning#973600arXiv (All)
• Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems#242880OpenAlex
• ARIS: Autonomous Research via Adversarial Multi-Agent Collaboration#158780Papers With Code
• The Many Faces of Adversarial Machine Learning#199591OpenAlex
• Two-Stage Reinforcement Learning for Sound and Adversarial Test Generation in Code LLMs#639676arXiv CS
• Adversarial Label Invariant Graph Data Augmentations for Out-of-Distribution Generalization#2597arXiv CS
• Hybrid Quantum-Classical GANs for the Generation of Adversarial Network Flows#168310arXiv CS
• Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks#451302arXiv CS
• Enhancing Adversarial Robustness via Cooperative Adversarial Distillation in Spiking Neural Networks#381267Springer Nature OA
• Adversarial Machine Learning: Security Risks and Defense Strategies in AI-Driven Applications#422138Semantic Scholar