Adversarial Learning

AdvDINO: Domain-Adversarial Self-Supervised Representation Learning for Spatial Proteomics MIDL 2026 AdvFM: Lookahead Flow-Matching Velocity-Field Attacks for Imperceptible and Transferable Adversarial Examples CVPR 2026 AFT-Tab: Adversarial Fine-Tuning for Tabular Data Synthesis with Long Text Columns ACL 2026 ALIGN: Adversarial Learning for Generalizable Speech Neuroprosthesis UAI 2026 ASTRA: An Automated Framework for Strategy Discovery, Retrieval, and Evolution for Jailbreaking LLMs ACL 2026 Attack for Defense: Adversarial Agents for Point Prompt Optimization Empowering Segment Anything Model CVPR 2026 Beyond the Static World: Continual Category Discovery under Visual Drift CVPR 2026 CIS-BWE: Chaos-Informed Speech Bandwidth Extension ACL 2026 Denoise and Align: Towards Source-Free UDA for Robust Panoramic Semantic Segmentation CVPR 2026 Eliminate Distance Differences Induced by Backdoor Attacks: Layer-Selective Training and Clipping to Mask Backdoor Models CVPR 2026 FedAFD: Multimodal Federated Learning via Adversarial Fusion and Distillation CVPR 2026 FedCART: Tackling Long-Tailed Distributions in Federated Adversarial Training via Classifier Refinement CVPR 2026 FlashIn: Fast and Accurate Image Inversion for Real-time Image Editing CVPR 2026 How Learning Dynamics Drive Adversarially Robust Generalization? UAI 2026 IAG: Input-aware Backdoor Attack on VLM-based Visual Grounding CVPR 2026 LexMachina at SemEval-2026 Task 2: Predicting Variation in Emotional Valence and Arousal over Time from Ecological Essays SemEval 2026 Logit-Margin Repulsion for Backdoor Defense CVPR 2026 PGA: Prior-free Generative Attack for Practical No-box Scenario CVPR 2026 Phased One-Step Adversarial Equilibrium for Video Diffusion Models AAAI 2026 Quantifying and Mitigating Hospital Domain Bias in Pathology Foundation Models using Adversarial Feature Disentanglement MIDL 2026 RaPA: Enhancing Transferable Targeted Attacks via Random Parameter Pruning CVPR 2026 Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts ACL 2026 Robustness Under Data Scarcity: Few-Shot Continual Adversarial Training for Evolving Threats CVPR 2026 Robust training of implicit generative models for multivariate and heavy-tailed distributions with an invariant statistical loss JMLR 2026 SafeLogo: Turning Your Logos into Jailbreak Shields via Micro-Regional Adversarial Training CVPR 2026