Security & Privacy

MI-CAPTCHA: Enhance the Security of CAPTCHA Using Mooney Images AAAI 2025 Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack ICCV 2025 Mind the Trojan Horse: Image Prompt Adapter Enabling Scalable and Deceptive Jailbreaking CVPR 2025 Misclassification-driven Fingerprinting for DNNs Using Frequency-aware GANs IJCAI 2025 MMGIA: Gradient Inversion Attack Against Multimodal Federated Learning via Intermodal Correlation IJCAI 2025 Model-based Large Language Model Customization as Service EMNLP 2025 Model Poisoning Attacks to Federated Learning via Multi-Round Consistency CVPR 2025 Model Rake: A Defense Against Stealing Attacks in Split Learning IJCAI 2025 MOZ-Smishing: A Benchmark Dataset for Detecting Mobile Money Frauds ACL 2025 MTVHunter: Smart Contracts Vulnerability Detection Based on Multi-Teacher Knowledge Translation AAAI 2025 Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning ICLR 2025 Multi-Modal Recommendation Unlearning for Legal, Licensing, and Modality Constraints AAAI 2025 MYOPIA: Protecting Face Privacy from Malicious Personalized Text-to-Image Synthesis via Unlearnable Examples AAAI 2025 Named Entity Inference Attacks on Clinical LLMs: Exploring Privacy Risks and the Impact of Mitigation Strategies NAACL 2025 Near-optimal algorithms for private estimation and sequential testing of collision probability AISTATS 2025 NeuroReset : LLM Unlearning via Dual Phase Mixed Methodology SemEval 2025 Noise-Aware Differentially Private Variational Inference AISTATS 2025 Not What the Doctor Ordered: Surveying LLM-based De-identification and Quantifying Clinical Information Loss EMNLP 2025 Novel Loss-Enhanced Universal Adversarial Patches for Sustainable Speaker Privacy Interspeech 2025 OmniGuard: Hybrid Manipulation Localization via Augmented Versatile Deep Image Watermarking CVPR 2025 OmniMark: Efficient and Scalable Latent Diffusion Model Fingerprinting AAAI 2025 On Consistent Bayesian Inference from Synthetic Data JMLR 2025 On Probabilistic Truncation in Privacy-preserving Machine Learning AAAI 2025 On the Inherent Privacy of Zeroth-Order Projected Gradient Descent AISTATS 2025 On the Privacy-preserving Generalized Eigenvalue Problem ACML 2025