adversarial learning

6DAttack: Backdoor Attacks in the 6DoF Pose Estimation AAAI 2026 Adversarial Decoding: Generating Readable Documents for Adversarial Objectives EACL 2026 Adversarial Fair Incomplete Multi-View Clustering AAAI 2026 Adversarial Learning in Games with Bandit Feedback: Logarithmic Pure-Strategy Maximin Regret COLT 2026 A Guardrail Framework for Sensitive Financial Information Protection: A Taxonomy-Driven Approach AAAI 2026 ALERT: Adversarial Learning Enhanced Stability-aware Routing Transformer for Adaptive Depression Detection AAAI 2026 ALIGN: Adversarial Learning for Generalizable Speech Neuroprosthesis UAI 2026 Angular Gradient Sign Method: Uncovering Vulnerabilities in Hyperbolic Networks AAAI 2026 Anti-adversarial Learning: Desensitizing Prompts for Large Language Model AAAI 2026 Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based Optimizers EACL 2026 ARGUS: Policy-Adaptive Ad Governance via Evolving Reinforcement with Adversarial Umpiring ACL 2026 Attack the Messages, Not the Agents: A Multi-round Adaptive Stealthy Tampering Framework for LLM-MAS AAAI 2026 BeDKD: Backdoor Defense Based on Directional Mapping Module and Adversarial Knowledge Distillation AAAI 2026 Beyond the Static World: Continual Category Discovery under Visual Drift CVPR 2026 CaRS: A Causal Intervention Segmentation Framework and Benchmark Dataset for Autonomous Driving under Transitional Weather Conditions WACV 2026 Certified but Fooled! Breaking Certified Defenses with Ghost Certificates AAAI 2026 Compete to Complete: Co-opetition Adversarial Learning for Retrieval-Augmented Generation ACL 2026 Denoise and Align: Towards Source-Free UDA for Robust Panoramic Semantic Segmentation CVPR 2026 Divide-and-Conquer Decoupled Network for Cross-Domain Few-Shot Segmentation AAAI 2026 DLDA: Unified Dual-Level Domain Adaptation for Low-Light Object Detection AAAI 2026 Enhancing All-to-X Backdoor Attacks with Optimized Target Class Mapping AAAI 2026 FairGC: Fostering Individual and Group Fairness for Deep Graph Clustering AAAI 2026 Feature Compression May Be the Root Cause of Adversarial Fragility in Neural Network Classifiers (Student Abstract) AAAI 2026 Good Gradients Poison Your Model: Evading Defenses in Federated Learning via Boundary-adaptive Perturbation AAAI 2026 HEART-PFL: Stable Personalized Federated Learning under Heterogeneity with Hierarchical Directional Alignment and Adversarial Knowledge Transfer WACV 2026