model inversion

Condensed Data Expansion Using Model Inversion for Knowledge Distillation AAAI 2026 Do Vision-Language Models Leak What They Learn? Adaptive Token-Weighted Model Inversion Attacks CVPR 2026 Latent Diffusion Inversion Requires Understanding the Latent Space CVPR 2026 Generic Adversarial Attack Framework Against Vertical Federated Learning IJCAI 2025 MoGA: 3D Generative Avatar Prior for Monocular Gaussian Avatar Reconstruction ICCV 2025 Reverse Prompt Engineering: A Zero-Shot, Genetic Algorithm Approach to Language Model Inversion EMNLP 2025 AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation ICLR 2024 Dual-Consistency Model Inversion for Non-Exemplar Class Incremental Learning CVPR 2024 Fetch and Forge: Efficient Dataset Condensation for Object Detection NeurIPS 2024 Interpreting the Weight Space of Customized Diffusion Models NeurIPS 2024 LEDITS++: Limitless Image Editing using Text-to-Image Models CVPR 2024 Maximum Knowledge Orthogonality Reconstruction With Gradients in Federated Learning WACV 2024 Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications ICML 2024 Trap-MID: Trapdoor-based Defense against Model Inversion Attacks NeurIPS 2024 Data-Free Class-Incremental Hand Gesture Recognition ICCV 2023 Mnemonist: Locating Model Parameters that Memorize Training Examples UAI 2023 Re-Thinking Model Inversion Attacks Against Deep Neural Networks CVPR 2023 SRATTA: Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning. ICML 2023 Canary Extraction in Natural Language Understanding Models ACL 2022 Deep Equilibrium Approaches to Diffusion Models NeurIPS 2022 FedInv: Byzantine-Robust Federated Learning by Inversing Local Model Updates AAAI 2022 Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification ICML 2022 GradViT: Gradient Inversion of Vision Transformers CVPR 2022 Invernet: An Inversion Attack Framework to Infer Fine-Tuning Datasets through Word Embeddings EMNLP 2022 Learning to Generate Inversion-Resistant Model Explanations NeurIPS 2022