Privacy

Generative Unlearning for Any Identity CVPR 2024 Geometry Cloak: Preventing TGS-based 3D Reconstruction from Copyrighted Images NeurIPS 2024 Ghostbuster: Detecting Text Ghostwritten by Large Language Models NAACL 2024 Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models EMNLP 2024 GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory EMNLP 2024 Gradient Coreset for Federated Learning WACV 2024 Granularity is crucial when applying differential privacy to text: An investigation for neural machine translation EMNLP 2024 GS-Hider: Hiding Messages into 3D Gaussian Splatting NeurIPS 2024 GuardEmb: Dynamic Watermark for Safeguarding Large Language Model Embedding Service Against Model Stealing Attack EMNLP 2024 HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning NeurIPS 2024 Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate ICLR 2024 Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning ICLR 2024 HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation AAAI 2024 High-Fidelity Gradient Inversion in Distributed Learning AAAI 2024 Hints-In-Browser: Benchmarking Language Models for Programming Feedback Generation NeurIPS 2024 How Private is Low-Frequency Speech Audio in the Wild? An Analysis of Verbal Intelligibility by Humans and Machines Interspeech 2024 HuRef: HUman-REadable Fingerprint for Large Language Models NeurIPS 2024 HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis IJCAI 2024 Immunization against harmful fine-tuning attacks EMNLP 2024 Implicit Bias in Noisy-SGD: With Applications to Differentially Private Training AISTATS 2024 Imposing Fairness Constraints in Synthetic Data Generation AISTATS 2024 Improving Authorship Privacy: Adaptive Obfuscation with the Dynamic Selection of Techniques ACL 2024 Improving LoRA in Privacy-preserving Federated Learning ICLR 2024 In-distribution Public Data Synthesis with Diffusion Models for Differentially Private Image Classification CVPR 2024 Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models NeurIPS 2024