adversarial defense

Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification CVPR 2025 Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness AAAI 2025 Exploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial Attacks IJCAI 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 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 Gamma-Guard: Lightweight Residual Adapters for Robust Guardrails in Large Language Models EMNLP 2025 Grimm: A Plug-and-Play Perturbation Rectifier for Graph Neural Networks Defending Against Poisoning Attacks AAAI 2025 I-GUARD: Interpretability-Guided Parameter Optimization for Adversarial Defense EMNLP 2025 Improving Deep Detector Robustness via Detection-Related Discriminant Maximization and Reorganization WACV 2025 Instant Adversarial Purification with Adversarial Consistency Distillation CVPR 2025 IPIGuard: A Novel Tool Dependency Graph-Based Defense Against Indirect Prompt Injection in LLM Agents EMNLP 2025 Localizing Malicious Outputs from CodeLLM EMNLP 2025 LoRID: Low-Rank Iterative Diffusion for Adversarial Purification AAAI 2025 Mind the Gap: Detecting Black-box Adversarial Attacks in the Making through Query Update Analysis CVPR 2025 Minimizing Queries, Maximizing Impact: Adaptive Score-Based Attack and Defense for Sentiment Analysis IJCNLP 2025 Mitigating Paraphrase Attacks on Machine-Text Detection via Paraphrase Inversion ACL 2025 NAPPure: Adversarial Purification for Robust Image Classification under Non-Additive Perturbations ICCV 2025 ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches ICCV 2025 Online Learning Defense against Iterative Jailbreak Attacks via Prompt Optimization IJCNLP 2025 Parameter-free and Accessible Prompt Learning to Enhance Adversarial Robustness for Pre-trained Vision-Language Models NAACL 2025 PD3F: A Pluggable and Dynamic DoS-Defense Framework against resource consumption attacks targeting Large Language Models EMNLP 2025 Probe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models ICLR 2025 PromptKeeper: Safeguarding System Prompts for LLMs EMNLP 2025