Privacy

Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection EMNLP 2024 Exactly Minimax-Optimal Locally Differentially Private Sampling NeurIPS 2024 Exploiting LLM Quantization NeurIPS 2024 Exploring Memorization in Fine-tuned Language Models ACL 2024 Extending Off-the-shelf NER Systems to Personal Information Detection in Dialogues with a Virtual Agent: Findings from a Real-Life Use Case EACL 2024 Extracting Prompts by Inverting LLM Outputs EMNLP 2024 Extracting Training Data from Molecular Pre-trained Models NeurIPS 2024 Facial Identity Anonymization via Intrinsic and Extrinsic Attention Distraction CVPR 2024 Fair Machine Unlearning: Data Removal while Mitigating Disparities AISTATS 2024 Faster Algorithms for User-Level Private Stochastic Convex Optimization NeurIPS 2024 Faster Differentially Private Top-k Selection: A Joint Exponential Mechanism with Pruning NeurIPS 2024 Faster Rates of Differentially Private Stochastic Convex Optimization JMLR 2024 Fast Machine Unlearning without Retraining through Selective Synaptic Dampening AAAI 2024 Feature Norm Regularized Federated Learning: Utilizing Data Disparities for Model Performance Gains IJCAI 2024 FedAvP: Augment Local Data via Shared Policy in Federated Learning NeurIPS 2024 FedCD: Federated Semi-Supervised Learning with Class Awareness Balance via Dual Teachers AAAI 2024 FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients IJCAI 2024 FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning AAAI 2024 Federated Experiment Design under Distributed Differential Privacy AISTATS 2024 Federated Graph Learning for Cross-Domain Recommendation NeurIPS 2024 Federated Learning via Input-Output Collaborative Distillation AAAI 2024 Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization AAAI 2024 Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data NeurIPS 2024 FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning AAAI 2024 FedGMark: Certifiably Robust Watermarking for Federated Graph Learning NeurIPS 2024