Security & Privacy

Scaling up the Banded Matrix Factorization Mechanism for Large Scale Differentially Private ML ICLR 2025 SDD: Self-Degraded Defense against Malicious Fine-tuning ACL 2025 Security Attacks on LLM-based Code Completion Tools AAAI 2025 SelectFormer in Data Markets: Privacy-Preserving and Efficient Data Selection for Transformers with Multi-Party Computation ICLR 2025 Sibai: A Few-Shot Meta-Classifier for Poisoning Detection in Federated Learning ICCV 2025 Signal Recovery from Random Dot-Product Graphs under Local Differential Privacy AISTATS 2025 Silence is Golden: Leveraging Adversarial Examples to Nullify Audio Control in LDM-based Talking-Head Generation CVPR 2025 Singular Subspace Perturbation Bounds via Rectangular Random Matrix Diffusions ICLR 2025 Some Targets Are Harder to Identify than Others: Quantifying the Target-dependent Membership Leakage AISTATS 2025 Speed Master: Quick or Slow Play to Attack Speaker Recognition AAAI 2025 Split Adaptation for Pre-trained Vision Transformers CVPR 2025 SQL Injection Jailbreak: A Structural Disaster of Large Language Models ACL 2025 Stealing Training Data from Large Language Models in Decentralized Training through Activation Inversion Attack ACL 2025 Stealthy Backdoor Attack in Federated Learning via Adaptive Layer-wise Gradient Alignment ICCV 2025 Stealthy Backdoor Attack in Self-Supervised Learning Vision Encoders for Large Vision Language Models CVPR 2025 Stealthy Shield Defense: A Conditional Mutual Information-Based Approach against Black-Box Model Inversion Attacks ICLR 2025 StolenLoRA: Exploring LoRA Extraction Attacks via Synthetic Data ICCV 2025 SUA: Stealthy Multimodal Large Language Model Unlearning Attack EMNLP 2025 T2ISafety: Benchmark for Assessing Fairness, Toxicity, and Privacy in Image Generation CVPR 2025 TAG-WM: Tamper-Aware Generative Image Watermarking via Diffusion Inversion Sensitivity ICCV 2025 Tau-Eval: A Unified Evaluation Framework for Useful and Private Text Anonymization EMNLP 2025 Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency ICLR 2025 The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD ICLR 2025 Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems CVPR 2025 Towards Privacy-Preserving Split Learning for ControlNet WACV 2025