← Application Areas
Machine Learning › Application Areas ›

Privacy

2794 directly classified papers

Papers per year

Papers

Integer Is Enough: When Vertical Federated Learning Meets Rounding AAAI 2024
FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation NIPS 2024
Protect Your Score: Contact-Tracing with Differential Privacy Guarantees AAAI 2024
Bileve: Securing Text Provenance in Large Language Models Against Spoofing with Bi-level Signature NIPS 2024
Disentangled Style Domain for Implicit $z$-Watermark Towards Copyright Protection NIPS 2024
Data Poisoning based Backdoor Attacks to Contrastive Learning CVPR 2024
BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning CVPR 2024
Continual Counting with Gradual Privacy Expiration NIPS 2024
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity NIPS 2024
HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning NIPS 2024
Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks AAAI 2024
Large Language Models Can Be Contextual Privacy Protection Learners EMNLP 2024
Extracting Prompts by Inverting LLM Outputs EMNLP 2024
Flock: A Framework for Deploying On-Demand Distributed Trust OSDI 2024
MuST: Robust Image Watermarking for Multi-Source Tracing AAAI 2024
Beyond Slow Signs in High-fidelity Model Extraction NIPS 2024
Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy AAAI 2024
Granularity is crucial when applying differential privacy to text: An investigation for neural machine translation EMNLP 2024
IPRemover: A Generative Model Inversion Attack against Deep Neural Network Fingerprinting and Watermarking AAAI 2024
Pseudonymization Categories across Domain Boundaries COLING 2024
Privacy Evaluation Benchmarks for NLP Models EMNLP 2024
Edit Distance Robust Watermarks via Indexing Pseudorandom Codes NIPS 2024
Facial Identity Anonymization via Intrinsic and Extrinsic Attention Distraction CVPR 2024
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach NIPS 2024
Once and for All: Universal Transferable Adversarial Perturbation against Deep Hashing-Based Facial Image Retrieval AAAI 2024