Privacy

Consensus Learning with Multi-Party Perturbation Triggers for Secure Model Access AAAI 2026 Continual Pretraining on Encrypted Synthetic Data for Privacy-Preserving LLMs EACL 2026 ConVerse: Benchmarking Contextual Safety in Agent-to-Agent Conversations EACL 2026 Copyright Infringement Detection in Text-to-Image Diffusion Models via Differential Privacy AAAI 2026 CoSPED: Consistent Soft Prompt Targeted Data Extraction and Defense AAAI 2026 Cross-Modal Unlearning via Influential Neuron Path Editing in Multimodal Large Language Models AAAI 2026 Decomposing Prompts, Composing Actions: A Multi-Granularity Prompting Approach for Incremental Action Learning AAAI 2026 Deep Image Decomposition for Medical Imaging Anonymization and Curation WACV 2026 DeepTracer: Tracing Stolen Model via Deep Coupled Watermarks AAAI 2026 Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization AAAI 2026 Demystifying Foreground-Background Memorization in Diffusion Models AAAI 2026 Detecting Training Data of Large Language Models via Expectation Maximization EACL 2026 DIET: Machine Unlearning on a Data-Diet AAAI 2026 Differentially Private Linear Programming: Reduced Sub-Optimality and Guaranteed Constraint Satisfaction AAAI 2026 Differentially Private Subspace Fine-Tuning for Large Language Models AAAI 2026 Divide, Conquer and Unite: Hierarchical Style-Recalibrated Prototype Alignment for Federated Medical Segmentation AAAI 2026 DP-GenG: Differentially Private Dataset Distillation Guided by DP-Generated Data AAAI 2026 DP-NCB: Privacy Preserving Fair Bandits AAAI 2026 Dual-View Inference Attack: Machine Unlearning Amplifies Privacy Exposure AAAI 2026 DuFFin: A Dual-Level Fingerprinting Framework for LLMs IP Protection EACL 2026 Efficient, Secure, Differentially Private Deep Learning in the Two-Server Model AAAI 2026 Eguard: Defending LLM Embeddings Against Inversion Attacks via Text Mutual Information Optimization AAAI 2026 Enhanced Privacy Leakage from Noise-Perturbed Gradients via Gradient-Guided Conditional Diffusion Models AAAI 2026 Enhancing DPSGD via Per-Sample Momentum and Low-Pass Filtering AAAI 2026 Ensemble Privacy Defense for Knowledge-Intensive LLMs against Membership Inference Attacks EACL 2026