Privacy

DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction) AAAI 2024 DP-NMT: Scalable Differentially Private Machine Translation EACL 2024 DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer ICLR 2024 DP-SGD Without Clipping: The Lipschitz Neural Network Way ICLR 2024 DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation NeurIPS 2024 Dual Calibration-based Personalised Federated Learning IJCAI 2024 Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning NeurIPS 2024 Duwak: Dual Watermarks in Large Language Models ACL 2024 Edit Distance Robust Watermarks via Indexing Pseudorandom Codes NeurIPS 2024 EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protection CVPR 2024 Efficient and Private Marginal Reconstruction with Local Non-Negativity NeurIPS 2024 Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously NeurIPS 2024 Efficiently Train ASR Models that Memorize Less and Perform Better with Per-core Clipping Interspeech 2024 Efficient Model Stealing Defense with Noise Transition Matrix CVPR 2024 Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters NeurIPS 2024 EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection AAAI 2024 Enhancing Byzantine-Resistant Aggregations with Client Embedding EMNLP 2024 Enhancing Controlled Query Evaluation through Epistemic Policies IJCAI 2024 Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning IJCAI 2024 Enhancing Scalability of Metric Differential Privacy via Secret Dataset Partitioning and Benders Decomposition IJCAI 2024 Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting ICLR 2024 Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration EMNLP 2024 Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation NeurIPS 2024 Ethos: Rectifying Language Models in Orthogonal Parameter Space NAACL 2024 Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains EMNLP 2024