Adversarial Learning

HEART-PFL: Stable Personalized Federated Learning under Heterogeneity with Hierarchical Directional Alignment and Adversarial Knowledge Transfer WACV 2026 HFR-MKGC: Hierarchical Fusion Reasoning with MLLMs for Multi-modal Knowledge Graph Completion AAAI 2026 Hidden in the Noise: Unveiling Backdoors in Audio LLMs Alignment Through Latent Acoustic Pattern Triggers AAAI 2026 Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis AAAI 2026 Hierarchically Robust Zero-shot Vision-language Models CVPR 2026 HogVul: Black-box Adversarial Code Generation Framework Against LM-based Vulnerability Detectors AAAI 2026 Hyper-Opinion Vagueness Quantification for Robust Multimodal Learning AAAI 2026 IdealTSF: Can Non-Ideal Data Contribute to Enhancing the Performance of Time Series Forecasting Models? AAAI 2026 Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation AAAI 2026 Improving Sustainability of Adversarial Examples in Class-Incremental Learning AAAI 2026 Improving the Convergence Rate of Ray Search Optimization for Query-Efficient Hard-Label Attacks AAAI 2026 Injection, Attack and Erasure: Revocable Backdoor Attacks via Machine Unlearning AAAI 2026 Invisible Triggers, Visible Threats! Road-Style Adversarial Creation Attack for Visual 3D Detection in Autonomous Driving AAAI 2026 IO-RAE: Information-Obfuscation Reversible Adversarial Example for Audio Privacy Protection AAAI 2026 Joint-GCG: Unified Gradient-Based Poisoning Attacks on Retrieval-Augmented Generation Systems AAAI 2026 Keep On Going: Learning Robust Humanoid Motion Skills via Selective Adversarial Training AAAI 2026 KvochurHegel at AbjadMed: Combining LDAM Loss and Adversarial Training for Arabic Medical Question-Answer Classification EACL 2026 LAMP: Learning Universal Adversarial Perturbations for Multi-Image Tasks via Pre-trained Models AAAI 2026 Language Model Distillation: A Temporal Difference Imitation Learning Perspective AAAI 2026 Learning Fair Representations with Kolmogorov-Arnold Networks AAAI 2026 Learning with Monotone Adversarial Corruptions ALT 2026 Less Is More: Sparse and Cooperative Perturbation for Point Cloud Attacks AAAI 2026 Look Closer! An Adversarial Parametric Editing Framework for Hallucination Mitigation in VLMs AAAI 2026 LoopLLM: Transferable Energy-Latency Attacks in LLMs via Repetitive Generation AAAI 2026 Lose Your Self (LoYS): An Adversarial Entropy-based Unsupervised Approach for Model Debiasing WACV 2026