gradient masking

Attention Retention for Continual Learning with Vision Transformers AAAI 2026 Adaptive Localization of Knowledge Negation for Continual LLM Unlearning ICML 2025 Enhancing Large Language Model Performance with Gradient-Based Parameter Selection AAAI 2025 Sculpting Memory: Multi-Concept Forgetting in Diffusion Models via Dynamic Mask and Concept-Aware Optimization ICCV 2025 Towards Understanding and Improving Adversarial Robustness of Vision Transformers CVPR 2024 Prior Gradient Mask Guided Pruning-Aware Fine-Tuning AAAI 2022 When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture NeurIPS 2022 Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning EMNLP 2021 Adversarial Robustness via Runtime Masking and Cleansing ICML 2020 Single-Step Adversarial Training With Dropout Scheduling CVPR 2020 Adversarial Training and Robustness for Multiple Perturbations NeurIPS 2019 Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples ICML 2018