adversarial robustness

Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase Sampling WACV 2025 Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices ICML 2025 Intrinsic Test of Unlearning Using Parametric Knowledge Traces EMNLP 2025 Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency ACL 2025 Is your benchmark truly adversarial? AdvScore: Evaluating Human-Grounded Adversarialness NAACL 2025 J&H: Evaluating the Robustness of Large Language Models Under Knowledge-Injection Attacks in Legal Domain AAAI 2025 JPEG Inspired Deep Learning ICLR 2025 KDAT: Inherent Adversarial Robustness via Knowledge Distillation with Adversarial Tuning for Object Detection Models AAAI 2025 Kill two birds with one stone: generalized and robust AI-generated text detection via dynamic perturbations NAACL 2025 Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers EMNLP 2025 Learning Randomized Algorithms with Transformers ICLR 2025 Learning Robust and Privacy-Preserving Representations via Information Theory AAAI 2025 Learning Robust XGBoost Ensembles for Regression Tasks UAI 2025 LiD-FL: Towards List-Decodable Federated Learning AAAI 2025 LiteLMGuard: Seamless and Lightweight On-Device Guardrails for Small Language Models against Quantization Vulnerabilities IJCNLP 2025 LLMs are Privacy Erasable EMNLP 2025 LLMs Caught in the Crossfire: Malware Requests and Jailbreak Challenges ACL 2025 Long-tailed Adversarial Training with Self-Distillation ICLR 2025 MisinfoBench: A Multi-Dimensional Benchmark for Evaluating LLMs’ Resilience to Misinformation EMNLP 2025 Mitigating Catastrophic Overfitting in Fast Adversarial Training via Label Information Elimination ICCV 2025 Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement AAAI 2025 MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models ICLR 2025 MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? EMNLP 2025 Model Poisoning Attacks to Federated Learning via Multi-Round Consistency CVPR 2025 Model Unlearning via Sparse Autoencoder Subspace Guided Projections EMNLP 2025