adversarial learning

Ad^2mix: Adversarial and Adaptive Mixup for Unsupervised Domain Adaptation WACV 2025 ADBM: Adversarial Diffusion Bridge Model for Reliable Adversarial Purification ICLR 2025 Adversarial Alignment with Anchor Dragging Drift (A3D2): Multimodal Domain Adaptation with Partially Shifted Modalities ACL 2025 Adversarial Contrastive Graph Masked AutoEncoder Against Graph Structure and Feature Dual Attacks AAAI 2025 Adversarial Diffusion Compression for Real-World Image Super-Resolution CVPR 2025 Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis ICCV 2025 Adversarial Domain Prompt Tuning and Generation for Single Domain Generalization CVPR 2025 Adversarial Latent Feature Augmentation for Fairness ICLR 2025 Adversarial Learning Based Knowledge Distillation on 3D Point Clouds WACV 2025 Adversarial Machine Unlearning ICLR 2025 Adversarial Propensity Weighting for Debiasing in Collaborative Filtering IJCAI 2025 Adversarial Reconstruction Feedback for Robust Fine-grained Generalization ICCV 2025 Adversarial Search Engine Optimization for Large Language Models ICLR 2025 Adversity-aware Few-shot Named Entity Recognition via Augmentation Learning AAAI 2025 AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents ACL 2025 AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning AAAI 2025 ALBAR: Adversarial Learning approach to mitigate Biases in Action Recognition ICLR 2025 ALRPHFS: Adversarially Learned Risk Patterns with Hierarchical Fast & Slow Reasoning for Robust Agent Defense EMNLP 2025 AnonyNoise: Anonymizing Event Data with Smart Noise to Outsmart Re-Identification and Preserve Privacy WACV 2025 Anti-Diffusion: Preventing Abuse of Modifications of Diffusion-Based Models AAAI 2025 A Symbolic Adversarial Learning Framework for Evolving Fake News Generation and Detection EMNLP 2025 A Unified, Resilient, and Explainable Adversarial Patch Detector CVPR 2025 Automating Steering for Safe Multimodal Large Language Models EMNLP 2025 AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video Hashing CVPR 2025 Backdooring Self-Supervised Contrastive Learning by Noisy Alignment ICCV 2025