Privacy

MERGE: Fast Private Text Generation AAAI 2024 MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning CVPR 2024 MICo: Preventative Detoxification of Large Language Models through Inhibition Control NAACL 2024 Mirror Descent Algorithms with Nearly Dimension-Independent Rates for Differentially-Private Stochastic Saddle-Point Problems extended abstract COLT 2024 Mitigating Privacy Seesaw in Large Language Models: Augmented Privacy Neuron Editing via Activation Patching ACL 2024 Mixtures of Gaussians are Privately Learnable with a Polynomial Number of Samples ALT 2024 MLLM-Protector: Ensuring MLLM’s Safety without Hurting Performance EMNLP 2024 Model Inversion Robustness: Can Transfer Learning Help? CVPR 2024 MoGU: A Framework for Enhancing Safety of LLMs While Preserving Their Usability NeurIPS 2024 MuST: Robust Image Watermarking for Multi-Source Tracing AAAI 2024 Nearly Tight Black-Box Auditing of Differentially Private Machine Learning NeurIPS 2024 Neural Style Protection: Counteracting Unauthorized Neural Style Transfer WACV 2024 NewbieML at SemEval-2024 Task 8: Ensemble Approach for Multidomain Machine-Generated Text Detection SemEval 2024 Nimbus: Secure and Efficient Two-Party Inference for Transformers NeurIPS 2024 No Free Lunch in LLM Watermarking: Trade-offs in Watermarking Design Choices NeurIPS 2024 Noise-Aware Differentially Private Regression via Meta-Learning NeurIPS 2024 Noisy Dual Mirror Descent: A Near Optimal Algorithm for Jointly-DP Convex Resource Allocation NeurIPS 2024 Noisy Neighbors: Efficient membership inference attacks against LLMs ACL 2024 Not All Learnable Distribution Classes are Privately Learnable ALT 2024 Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transfomers CVPR 2024 OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning NeurIPS 2024 Once and for All: Universal Transferable Adversarial Perturbation against Deep Hashing-Based Facial Image Retrieval AAAI 2024 On Convex Optimization with Semi-Sensitive Features COLT 2024 On Differentially Private Subspace Estimation in a Distribution-Free Setting NeurIPS 2024 On Differentially Private U Statistics NeurIPS 2024