Adversarial Learning

Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics ICCV 2025 Exploring The Forgetting in Adversarial Training: A Novel Method for Enhancing Robustness ICLR 2025 Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models CVPR 2025 Extracting Military Event Temporal Relations via Relative Event Time Prediction and Virtual Adversarial Training NAACL 2025 Failure Cases Are Better Learned But Boundary Says Sorry: Facilitating Smooth Perception Change for Accuracy-Robustness Trade-Off in Adversarial Training ICCV 2025 Failures to Find Transferable Image Jailbreaks Between Vision-Language Models ICLR 2025 FairICP: Encouraging Equalized Odds via Inverse Conditional Permutation ICML 2025 FAIR-TAT: Improving Model Fairness using Targeted Adversarial Training WACV 2025 FakeDiffer: Distributional Disparity Learning on Differentiated Reconstruction for Face Forgery Detection AAAI 2025 FastJSMA: Accelerating Jacobian-based Saliency Map Attacks through Gradient Decoupling ICCV 2025 FC-Attack: Jailbreaking Multimodal Large Language Models via Auto-Generated Flowcharts EMNLP 2025 FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning AAAI 2025 Fed-DFA: Federated Distillation for Heterogeneous Model Fusion Through the Adversarial Lens AAAI 2025 FedDLAD: A Federated Learning Dual-Layer Anomaly Detection Framework for Enhancing Resilience Against Backdoor Attacks IJCAI 2025 FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients IJCAI 2025 FedPall: Prototype-based Adversarial and Collaborative Learning for Federated Learning with Feature Drift ICCV 2025 Ferret: Faster and Effective Automated Red Teaming with Reward-Based Scoring Technique EMNLP 2025 Find a Scapegoat: Poisoning Membership Inference Attack and Defense to Federated Learning ICCV 2025 First Line of Defense: A Robust First Layer Mitigates Adversarial Attacks AAAI 2025 FlipAttack: Jailbreak LLMs via Flipping ICML 2025 FLSeg: Enhancing Privacy and Robustness in Federated Learning under Heterogeneous Data via Model Segmentation ICCV 2025 Foot-In-The-Door: A Multi-turn Jailbreak for LLMs EMNLP 2025 Fourier Guided Adaptive Adversarial Augmentation for Generalization in Visual Reinforcement Learning AAAI 2025 Fragments to Facts: Partial-Information Fragment Inference from LLMs ICML 2025 FREE: Fast and Robust Vision Language Models with Early Exits ACL 2025