Privacy

Finding ε and δ of Traditional Disclosure Control Systems AAAI 2024 Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective AAAI 2024 From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models NeurIPS 2024 Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing CVPR 2024 GS-Hider: Hiding Messages into 3D Gaussian Splatting NeurIPS 2024 Handling Name Errors of a BERT-Based De-Identification System: Insights from Stratified Sampling and Markov-based Pseudonymization EACL 2024 HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning NeurIPS 2024 High-Fidelity Gradient Inversion in Distributed Learning AAAI 2024 IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity AAAI 2024 Integer Is Enough: When Vertical Federated Learning Meets Rounding AAAI 2024 I Prefer Not to Say: Protecting User Consent in Models with Optional Personal Data AAAI 2024 IPRemover: A Generative Model Inversion Attack against Deep Neural Network Fingerprinting and Watermarking AAAI 2024 Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment EMNLP 2024 Learnable Cube-Based Video Encryption for Privacy-Preserving Action Recognition WACV 2024 Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers AAAI 2024 Look Who’s Talking Now: Covert Channels From Biased LLMs EMNLP 2024 Lower Bounds for Differential Privacy Under Continual Observation and Online Threshold Queries COLT 2024 Machine Unlearning: Challenges in Data Quality and Access IJCAI 2024 Machine Unlearning of Pre-trained Large Language Models ACL 2024 MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection CVPR 2024 Maximum Knowledge Orthogonality Reconstruction With Gradients in Federated Learning WACV 2024 Membership Inference Attacks Against Time-Series Models ACML 2024 Membership Inference Attack Using Self Influence Functions WACV 2024 Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy NeurIPS 2024 Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor NeurIPS 2024