adversarial robustness

3D-ANC: Adaptive Neural Collapse for Robust 3D Point Cloud Recognition AAAI 2026 A Combination of Noise and Bilateral Filters Achieve Supralinear and Scalable Adversarial Robustness in CNNs CVPR 2026 AD2: Analysis and Detection of Adversarial Threats in Visual Perception for End-to-End Autonomous Driving Systems WACV 2026 Adversarially Robust Multitask Adaptive Control L4DC 2026 AGFT: Alignment-Guided Fine-Tuning for Zero-Shot Adversarial Robustness of Vision-Language Models CVPR 2026 Aloe-Vision: Robust Vision-Language Models for Healthcare MIDL 2026 AntiStyler: Defending Object Detection Models Against Adversarial Patch Attacks Using Style Removal CVPR 2026 A Provable Energy-Guided Test-Time Defense Boosting Adversarial Robustness of Large Vision-Language Models CVPR 2026 Are All Prompt Components Value-Neutral? Understanding the Heterogeneous Adversarial Robustness of Dissected Prompt in LLMs EACL 2026 ARGH-Mark: Anchor-Synchronized Watermarking with Hamming Correction for Robust and Quality-Preserving LLM Attribution AAAI 2026 ART: Attention-Regularized Transformers for Multi-Modal Robustness EACL 2026 A Unified Perspective on Adversarial Membership Manipulation in Vision Models CVPR 2026 Authority Backdoor: A Certifiable Backdoor Mechanism for Authoring DNNs AAAI 2026 Bant: Byzantine Antidote via Trial Function and Trust Scores AAAI 2026 Beyond Training-time Poisoning: Component-level and Post-training Backdoors in Deep Reinforcement Learning AAAI 2026 Boosting the Robustness-Accuracy Trade-off of SNNs by Robust Temporal Self-Ensemble AAAI 2026 Bot Meets Shortcut: How Can LLMs Aid in Handling Unknown Invariance OOD Scenarios? AAAI 2026 Breach in the Shield: Unveiling the Vulnerabilities of Large Language Models EACL 2026 Breaking the Adversarial Robustness-Performance Trade-off in Text Classification via Manifold Purification AAAI 2026 BREPS: Bounding-Box Robustness Evaluation of Promptable Segmentation AAAI 2026 Chain-of-Thought Driven Adversarial Scenario Extrapolation for Robust Language Models AAAI 2026 CluCERT: Certifying LLM Robustness via Clustering-Guided Denoising Smoothing AAAI 2026 COMPASS: A Framework for Evaluating Organization-Specific Policy Alignment in LLMs ACL 2026 DAMASHA: Detecting AI in Mixed Adversarial Texts via Segmentation with Human-interpretable Attribution EACL 2026 Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness WACV 2026