adversarial robustness

Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios EMNLP 2025 Extractive Fact Decomposition for Interpretable Natural Language Inference in one Forward Pass EMNLP 2025 ExtremeAIGC: Benchmarking LMM Vulnerability to AI-Generated Extremist Content EMNLP 2025 Factor Graph-based Interpretable Neural Networks ICLR 2025 Failure Cases Are Better Learned But Boundary Says Sorry: Facilitating Smooth Perception Change for Accuracy-Robustness Trade-Off in Adversarial Training ICCV 2025 FAIR-TAT: Improving Model Fairness using Targeted Adversarial Training WACV 2025 Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks ICLR 2025 FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning AAAI 2025 First Line of Defense: A Robust First Layer Mitigates Adversarial Attacks AAAI 2025 Fooling the LVLM Judges: Visual Biases in LVLM-Based Evaluation EMNLP 2025 Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements ACL 2025 From Insight to Exploit: Leveraging LLM Collaboration for Adaptive Adversarial Text Generation EMNLP 2025 Harnessing Robust Statistics for Trustworthy AI AAAI 2025 HiddenDetect: Detecting Jailbreak Attacks against Multimodal Large Language Models via Monitoring Hidden States ACL 2025 How Ambiguous Are the Rationales for Natural Language Reasoning? A Simple Approach to Handling Rationale Uncertainty COLING 2025 How Jailbreak Defenses Work and Ensemble? A Mechanistic Investigation EMNLP 2025 HyperDefender: A Robust Framework for Hyperbolic GNNs AAAI 2025 I-GUARD: Interpretability-Guided Parameter Optimization for Adversarial Defense EMNLP 2025 Improved Diffusion-based Generative Model with Better Adversarial Robustness ICLR 2025 Improve Safety Training of Large Language Models with Safety-Critical Singular Vectors Localization ACL 2025 Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement CVPR 2025 Improving Chain-of-Thought Reasoning via Quasi-Symbolic Abstractions ACL 2025 Improving Deep Detector Robustness via Detection-Related Discriminant Maximization and Reorganization WACV 2025 Improving Generalization and Robustness in SNNs Through Signed Rate Encoding and Sparse Encoding Attacks ICLR 2025 Improving Large Language Model Safety with Contrastive Representation Learning EMNLP 2025