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Privacy

2794 directly classified papers

Papers per year

Papers

EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protection CVPR 2024
Countering Personalized Text-to-Image Generation with Influence Watermarks CVPR 2024
SecureSQL: Evaluating Data Leakage of Large Language Models as Natural Language Interfaces to Databases EMNLP 2024
CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code EMNLP 2024
Waterfall: Scalable Framework for Robust Text Watermarking and Provenance for LLMs EMNLP 2024
MarkLLM: An Open-Source Toolkit for LLM Watermarking EMNLP 2024
Revisiting the Robustness of Watermarking to Paraphrasing Attacks EMNLP 2024
MLLM-Protector: Ensuring MLLM’s Safety without Hurting Performance EMNLP 2024
Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning AAAI 2024
On the Privacy of Selection Mechanisms with Gaussian Noise AISTATS 2024
User Inference Attacks on Large Language Models EMNLP 2024
Granularity is crucial when applying differential privacy to text: An investigation for neural machine translation EMNLP 2024
SAME: Sample Reconstruction against Model Extraction Attacks AAAI 2024
Representation Noising: A Defence Mechanism Against Harmful Finetuning NIPS 2024
AADMIP: Adversarial Attacks and Defenses Modeling in Industrial Processes IJCAI 2024
Find the Lady: Permutation and Re-synchronization of Deep Neural Networks AAAI 2024
UMA: Facilitating Backdoor Scanning via Unlearning-Based Model Ablation AAAI 2024
Debiasing Synthetic Data Generated by Deep Generative Models NIPS 2024
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature NIPS 2024
CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation EMNLP 2024
To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models EMNLP 2024
Revisiting Differentially Private ReLU Regression NIPS 2024
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA EMNLP 2024
Anonymization Through Substitution: Words vs Sentences ACL 2024
Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries ACL 2024