data privacy

Frequency Oracle for Sensitive Data Monitoring (Student Abstract) AAAI 2024 High-Fidelity Gradient Inversion in Distributed Learning AAAI 2024 I Prefer Not to Say: Protecting User Consent in Models with Optional Personal Data AAAI 2024 Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models ICLR 2024 Machine Unlearning: Challenges in Data Quality and Access IJCAI 2024 Machine Unlearning for Image-to-Image Generative Models ICLR 2024 Measuring Dejavu Memorization Efficiently NeurIPS 2024 Membership Inference Attacks against Large Vision-Language Models NeurIPS 2024 Privacy-Preserving UCB Decision Process Verification via zk-SNARKs IJCAI 2024 Promoting Data and Model Privacy in Federated Learning through Quantized LoRA EMNLP 2024 Rethinking LLM Memorization through the Lens of Adversarial Compression NeurIPS 2024 RRL: Recommendation Reverse Learning AAAI 2024 Secure Distributed Sparse Gaussian Process Models Using Multi-Key Homomorphic Encryption AAAI 2024 Selling Personal Information: Data Brokers and the Limits of US Regulation COLING 2024 Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise AAAI 2024 The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG) ACL 2024 ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average EMNLP 2024 Ungeneralizable Examples CVPR 2024 Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks EMNLP 2023 Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks Using an Incompetent Teacher AAAI 2023 CUDA: Convolution-Based Unlearnable Datasets CVPR 2023 Detecting Personal Information in Training Corpora: an Analysis ACL 2023 Diverse Community Data for Benchmarking Data Privacy Algorithms NeurIPS 2023 Emergent and Predictable Memorization in Large Language Models NeurIPS 2023 Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer WACV 2023