adversarial fine-tuning

AdvBDGen: A Robust Framework for Generating Adaptive and Stealthy Backdoors in LLM Alignment AAAI 2026 AFT-Tab: Adversarial Fine-Tuning for Tabular Data Synthesis with Long Text Columns ACL 2026 AGFT: Alignment-Guided Fine-Tuning for Zero-Shot Adversarial Robustness of Vision-Language Models CVPR 2026 Hierarchically Robust Zero-shot Vision-language Models CVPR 2026 Boosting the visual interpretability of CLIP via adversarial fine-tuning ICLR 2025 Dynamic Evil Score-Guided Decoding: An Efficient Decoding Framework For Red-Team Model ACL 2025 Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement AAAI 2025 Mobile Video Diffusion ICCV 2025 SLADE: Shielding against Dual Exploits in Large Vision-Language Models CVPR 2025 SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device CVPR 2025 Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models NeurIPS 2024 Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models ICML 2024 CODE: Contrastive Pre-training with Adversarial Fine-Tuning for Zero-Shot Expert Linking AAAI 2022 Defense against Adversarial Attacks on Hybrid Speech Recognition System using Adversarial Fine-tuning with Denoiser Interspeech 2022 Adversities are all you need: Classification of self-reported breast cancer posts on Twitter using Adversarial Fine-tuning NAACL 2021 ConjNLI: Natural Language Inference Over Conjunctive Sentences EMNLP 2020 It’s Morphin’ Time! Combating Linguistic Discrimination with Inflectional Perturbations ACL 2020