Privacy

General Staircase Mechanisms for Optimal Differential Privacy AISTATS 2025 Generic Adversarial Attack Framework Against Vertical Federated Learning IJCAI 2025 Gibberish is All You Need for Membership Inference Detection in Contrastive Language-Audio Pretraining NAACL 2025 Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning CVPR 2025 Harnessing Global-Local Collaborative Adversarial Perturbation for Anti-Customization CVPR 2025 HateImgPrompts: Mitigating Generation of Images Spreading Hate Speech NAACL 2025 Hidden in Plain Sight: Evaluation of the Deception Detection Capabilities of LLMs in Multimodal Settings ACL 2025 Hiding Images in Diffusion Models by Editing Learned Score Functions CVPR 2025 Human-Inspired Obfuscation for Model Unlearning: Local and Global Strategies with Hyperbolic Representations EMNLP 2025 Identifying Pre-training Data in LLMs: A Neuron Activation-Based Detection Framework EMNLP 2025 Identifying Unlearned Data in LLMs via Membership Inference Attacks EMNLP 2025 IDFace: Face Template Protection for Efficient and Secure Identification ICCV 2025 IDProtector: An Adversarial Noise Encoder to Protect Against ID-Preserving Image Generation CVPR 2025 Improved Unbiased Watermark for Large Language Models ACL 2025 IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization IJCNLP 2025 Indonesian Speech Content De-Identification in Low Resource Transcripts COLING 2025 Interaction-Aware Parameter Privacy-Preserving Data Sharing in Coupled Systems via Particle Filter Reinforcement Learning L4DC 2025 Invisible Backdoor Attack against Self-supervised Learning CVPR 2025 ISACL: Internal State Analyzer for Copyrighted Training Data Leakage EMNLP 2025 Jailbreaking the Non-Transferable Barrier via Test-Time Data Disguising CVPR 2025 Jailbreaking with Universal Multi-Prompts NAACL 2025 Keep Security! Benchmarking Security Policy Preservation in Large Language Model Contexts Against Indirect Attacks in Question Answering EMNLP 2025 Knockoff Branch: Model Stealing Attack via Adding Neurons in the Pre-Trained Model WACV 2025 Label-Free Backdoor Attacks in Vertical Federated Learning AAAI 2025 Large Language Models are Easily Confused: A Quantitative Metric, Security Implications and Typological Analysis NAACL 2025