Privacy

Private and Personalized Frequency Estimation in a Federated Setting NeurIPS 2024 Private Attribute Inference from Images with Vision-Language Models NeurIPS 2024 Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust NeurIPS 2024 Private Geometric Median NeurIPS 2024 Private Language Models via Truncated Laplacian Mechanism EMNLP 2024 Private Learning with Public Features AISTATS 2024 Private Online Learning via Lazy Algorithms NeurIPS 2024 Private PAC Learning May be Harder than Online Learning ALT 2024 Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions NeurIPS 2024 PrivAuditor: Benchmarking Data Protection Vulnerabilities in LLM Adaptation Techniques NeurIPS 2024 PrivCirNet: Efficient Private Inference via Block Circulant Transformation NeurIPS 2024 PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models ACL 2024 PrivObfNet: A Weakly Supervised Semantic Segmentation Model for Data Protection WACV 2024 PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds IJCAI 2024 Probabilistically Robust Watermarking of Neural Networks IJCAI 2024 Probing the Feasibility of Multilingual Speaker Anonymization Interspeech 2024 Progressive Poisoned Data Isolation for Training-Time Backdoor Defense AAAI 2024 Promoting Data and Model Privacy in Federated Learning through Quantized LoRA EMNLP 2024 Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models NeurIPS 2024 Prompt Leakage effect and mitigation strategies for multi-turn LLM Applications EMNLP 2024 Prosody-Driven Privacy-Preserving Dementia Detection Interspeech 2024 Protecting Object Detection Models from Model Extraction Attack via Feature Space Coverage IJCAI 2024 Protecting Privacy in Classifiers by Token Manipulation ACL 2024 Protecting Split Learning by Potential Energy Loss IJCAI 2024 Protect Your Score: Contact-Tracing with Differential Privacy Guarantees AAAI 2024