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Adversarial Learning

4854 directly classified papers

Papers per year

Papers

FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training AAAI 2026

Beyond Immediate Activation: Temporally Decoupled Backdoor Attacks on Time Series Forecasting AAAI 2026

GraphTextack: A Realistic Black-Box Node Injection Attack on LLM-Enhanced GNNs AAAI 2026

Learning Fair Representations with Kolmogorov-Arnold Networks AAAI 2026

Poisoning with a Pill: Circumventing Detection in Federated Learning AAAI 2026

Hyper-Opinion Vagueness Quantification for Robust Multimodal Learning AAAI 2026

Look Closer! An Adversarial Parametric Editing Framework for Hallucination Mitigation in VLMs AAAI 2026

Enhancing Diffusion Policies with Distribution-Matching Generator in Offline Reinforcement Learning AAAI 2026

DIMM: Decoupled Multi-hierarchy Kalman Filter via Reinforcement Learning AAAI 2026

Keep On Going: Learning Robust Humanoid Motion Skills via Selective Adversarial Training AAAI 2026

DRFGD: Disentangled Representation-Focused Generative Defense for Attack-Tolerant Cross-Modal Hashing AAAI 2026

VBF++: Variational Bayesian Fusion with Context-Aware Priors and Recommendation-Guided Adversarial Refinement for Multimodal Video Recommendation AAAI 2026

Multi-granularity Intent Modeling with Adversarial Robustness for Sequential Recommendation AAAI 2026

Capturing Dynamic User Interests Under Modality Imbalance for Multimodal Sequential Recommendation AAAI 2026

Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm AAAI 2026

HFR-MKGC: Hierarchical Fusion Reasoning with MLLMs for Multi-modal Knowledge Graph Completion AAAI 2026

Cheating Stereo Matching in Full-Scale: Physical Adversarial Attack Against Binocular Depth Estimation in Autonomous Driving AAAI 2026

ObjectAdv: Object-Level Unrestricted Adversarial Attacks via Diffusion Models AAAI 2026

Good Gradients Poison Your Model: Evading Defenses in Federated Learning via Boundary-adaptive Perturbation AAAI 2026

Universal Adversarial Purification with DDIM Metric Loss for Stable Diffusion AAAI 2026

Boosting Adversarial Transferability via Ensemble Non-Attention AAAI 2026

Improving the Convergence Rate of Ray Search Optimization for Query-Efficient Hard-Label Attacks AAAI 2026

Diff-NAT: Better Naturalistic and Aggressive Adversarial Attacks via Class-Optimized Diffusion for Object Detection AAAI 2026

Invisible Triggers, Visible Threats! Road-Style Adversarial Creation Attack for Visual 3D Detection in Autonomous Driving AAAI 2026

Adversarial Fair Incomplete Multi-View Clustering AAAI 2026